1 00:00:00,000 --> 00:00:06,255 [MUSIC] 2 00:00:06,255 --> 00:00:07,970 Hello, my name is Manuel Spectra. 3 00:00:07,970 --> 00:00:09,300 I work at the University of Oxford. 4 00:00:09,300 --> 00:00:12,220 And here I'm sitting with three experts in the field of color vision and 5 00:00:12,220 --> 00:00:13,450 color perception. 6 00:00:13,450 --> 00:00:17,950 Professor Professor Anne Hubbard and Professor David Brainerd. 7 00:00:17,950 --> 00:00:21,890 About three years ago, three and a half years ago, an image of the Internet. 8 00:00:21,890 --> 00:00:23,420 It was a viral image. 9 00:00:23,420 --> 00:00:27,970 It was a picture, a photograph of a dress, and it was quite polarizing. 10 00:00:27,970 --> 00:00:30,130 Anya, do you want to tell us a little bit about the dress? 11 00:00:30,130 --> 00:00:33,000 >> Yes, this dress divided people into two groups. 12 00:00:33,000 --> 00:00:36,300 Those who saw the dress in the photgraph as white and gold, and 13 00:00:36,300 --> 00:00:40,290 those who saw it as blue and black and huge arguments over this. 14 00:00:40,290 --> 00:00:42,430 People claim to be losing friends. 15 00:00:42,430 --> 00:00:44,500 Over this phenomenon. 16 00:00:44,500 --> 00:00:49,450 How could different people look at the same image of the same object and 17 00:00:49,450 --> 00:00:52,310 see it as these radically different colors. 18 00:00:52,310 --> 00:00:55,800 That's a question that excited the vision science community immediately. 19 00:00:55,800 --> 00:00:58,790 One thing we were so thrilled that everyone else suddenly became fascinated 20 00:00:58,790 --> 00:01:04,620 by this phenomenon of color perception and by the striking individual differences in 21 00:01:04,620 --> 00:01:10,060 color perception, which we think reveals the inherent subjectivity of color, 22 00:01:10,060 --> 00:01:14,170 as well as with further study some of the basic mechanisms that the visual system 23 00:01:14,170 --> 00:01:19,540 uses to make color a meaningful aspect of our visual perception. 24 00:01:19,540 --> 00:01:21,150 So one of the most exciting things for 25 00:01:21,150 --> 00:01:24,590 us as well about this photograph is that although people 26 00:01:24,590 --> 00:01:28,470 looked at the photograph and saw the dresses, different colors in the image. 27 00:01:28,470 --> 00:01:33,240 It's also the case that in the real world, the real original dress, 28 00:01:33,240 --> 00:01:37,630 put under slightly ambiguous lighting can evoke the same controversy. 29 00:01:37,630 --> 00:01:40,680 People looking at this same object but 30 00:01:40,680 --> 00:01:45,480 under ambiguous lighting will perceive it as being different colors. 31 00:01:45,480 --> 00:01:48,200 >> But I think it's worth saying that, if you were to put the dress on and 32 00:01:48,200 --> 00:01:52,600 just walk around, day to day, everybody would agree it was a blue and black dress. 33 00:01:52,600 --> 00:01:58,771 You have to go to some work [CROSSTALK] And fuss around to create this effect. 34 00:01:58,771 --> 00:02:02,390 And that actually, some ways tells us how well vision works most of the time. 35 00:02:02,390 --> 00:02:03,170 >> Exactly. 36 00:02:03,170 --> 00:02:04,470 >> Which is the thing that made it so 37 00:02:04,470 --> 00:02:08,790 surprising when people were seeing the image or the real dress. 38 00:02:08,790 --> 00:02:11,270 >> It's so interesting people say what is it really? 39 00:02:11,270 --> 00:02:14,640 But the question they're really asking is what does it really look like 40 00:02:14,640 --> 00:02:18,430 under natural broadband roughly white light? 41 00:02:18,430 --> 00:02:20,720 Because it's not what it is really. 42 00:02:20,720 --> 00:02:25,690 It has reflectants properties, which can reflect different light depending 43 00:02:25,690 --> 00:02:28,890 on the light that's shining on it and the context in which it is seen. 44 00:02:28,890 --> 00:02:32,330 And the visuals has been constantly trying to resolve that ambiguity 45 00:02:32,330 --> 00:02:32,914 between >> And 46 00:02:32,914 --> 00:02:39,160 it usually does it in an almost perfect way where basically we're happy to call 47 00:02:39,160 --> 00:02:44,430 objects of different color names like a blue top or a brown jacket. 48 00:02:44,430 --> 00:02:47,760 >> Brown, that's great. 49 00:02:47,760 --> 00:02:48,725 >> No, it's not great. 50 00:02:48,725 --> 00:02:51,060 >> [LAUGH] >> Exactly right. 51 00:02:51,060 --> 00:02:53,670 >> Yeah, there are minor differences. 52 00:02:53,670 --> 00:02:56,210 But overall, we doing a really good, great job and 53 00:02:56,210 --> 00:03:01,900 we're not aware that the color isn't really a property of the object. 54 00:03:01,900 --> 00:03:05,020 Because the light that gets into the eyes is the combination 55 00:03:05,020 --> 00:03:08,360 of the reflecting properties of the objects and the illumination and 56 00:03:08,360 --> 00:03:10,860 the illumination changes throughout the day. 57 00:03:10,860 --> 00:03:12,660 And as we enter the room. 58 00:03:12,660 --> 00:03:16,880 >> What you can see here from this little demo is that the light 59 00:03:16,880 --> 00:03:20,670 on the dress constantly changing in color is causing the light reflected from 60 00:03:20,670 --> 00:03:22,430 the dress to constantly change. 61 00:03:22,430 --> 00:03:25,480 >> So you mentioned color constancy or constancy here. 62 00:03:25,480 --> 00:03:28,330 Can you unpack what that term means and 63 00:03:28,330 --> 00:03:32,230 how important it is in basically visual processing? 64 00:03:32,230 --> 00:03:36,310 >> Well, we think of vision is serving a purpose and telling us what is where. 65 00:03:36,310 --> 00:03:37,580 What's out there. 66 00:03:37,580 --> 00:03:39,560 And where is it so that we can interact with it? 67 00:03:39,560 --> 00:03:44,930 And one of the things color constancy does is enable us to use color as a meaningful, 68 00:03:44,930 --> 00:03:47,030 reliable cue to what an object is. 69 00:03:47,030 --> 00:03:51,710 So the colors we perceive objects to be correspond pretty 70 00:03:51,710 --> 00:03:56,220 invariably to their actual reflectance properties, which tell us something about 71 00:03:56,220 --> 00:03:59,360 their material properties, and therefore tells us something about what they are. 72 00:03:59,360 --> 00:04:04,180 But that set of processes is actually very complex and happens on multiple levels. 73 00:04:04,180 --> 00:04:06,080 We're just unconscious of it. 74 00:04:06,080 --> 00:04:10,060 We need to get rid of the contaminating effects of the illumination spectrum 75 00:04:10,060 --> 00:04:14,610 effectively, and get something closer to the actual reflecting 76 00:04:14,610 --> 00:04:16,310 physical properties of the object. 77 00:04:16,310 --> 00:04:18,420 >> But that's not a stimulus that we ever see, right? 78 00:04:18,420 --> 00:04:21,990 We never perceive the reflectants of an object, right? 79 00:04:21,990 --> 00:04:25,810 So it's not in a sense contaminated signal,[CROSS TALK] 80 00:04:25,810 --> 00:04:26,750 it is the only signal that we have. 81 00:04:26,750 --> 00:04:30,790 >> The true is that the reflectance the dress itself doesn't jump into our eyes, 82 00:04:30,790 --> 00:04:33,480 not the physical object interacts with the retina. 83 00:04:33,480 --> 00:04:36,060 It's the light reflected from the object. 84 00:04:36,060 --> 00:04:39,260 And that light brings the information about the properties of the object 85 00:04:39,260 --> 00:04:42,570 the dress, its color, its size and shape its texture. 86 00:04:42,570 --> 00:04:46,420 To our eyes, but it brings it in a form that contaminates, as I may say, 87 00:04:46,420 --> 00:04:49,530 that's contaminated or intermixed with other things, like what 88 00:04:49,530 --> 00:04:53,470 is the spectrum of the illumination and how is it rotated with respect to us. 89 00:04:53,470 --> 00:04:56,850 And I'd say it's worth saying, and this is mostly about color, but 90 00:04:56,850 --> 00:05:01,850 it's worth saying that these issues arise with all aspects of perception the size 91 00:05:01,850 --> 00:05:05,500 of an image on our retina changes with its distance, and yet we don't see 92 00:05:05,500 --> 00:05:08,710 the dress growing and shrinking as we move closer or further from it. 93 00:05:08,710 --> 00:05:11,150 And all that's the work of our brain 94 00:05:11,150 --> 00:05:14,950 delivering to us percepts that are useful about the world. 95 00:05:14,950 --> 00:05:18,320 >> Vision isn't passive process. 96 00:05:18,320 --> 00:05:20,710 We don't just see what's out there. 97 00:05:20,710 --> 00:05:25,400 Were constantly actively constructing hypothesis about what's out there 98 00:05:25,400 --> 00:05:30,610 from the inherently ambiguous light signals that the eye receives. 99 00:05:30,610 --> 00:05:33,350 >> So what specifically was ambiguous then 100 00:05:33,350 --> 00:05:35,906 in particular about the photograph of the dress? 101 00:05:35,906 --> 00:05:41,470 >> Well, it wasn't obvious because there weren't very many 102 00:05:41,470 --> 00:05:46,610 cues the photograph as to what the color of the light source was on the dress, 103 00:05:46,610 --> 00:05:49,850 and it's highly likely that there were actually two different light sources on 104 00:05:49,850 --> 00:05:55,650 the dress, a bluish daylight and a yellowish, probably artificial light. 105 00:05:55,650 --> 00:06:01,020 And this meant that when people's inherent color constancy mechanisms 106 00:06:01,020 --> 00:06:04,900 effectively corrected for the color of the light, that could go one way or the other. 107 00:06:04,900 --> 00:06:08,570 And in fact, subsequent experiments have shown that people who 108 00:06:08,570 --> 00:06:12,420 effectively assumed that the light shining on the dress was a sort of dim 109 00:06:12,420 --> 00:06:17,210 blue light saw the dresses white and gold, and those people who effectively assumed 110 00:06:17,210 --> 00:06:20,130 unconsciously that the light shining and the dress was a bright yellow. 111 00:06:20,130 --> 00:06:22,230 They reported it to be blue and black. 112 00:06:22,230 --> 00:06:26,820 So those perceptions that people reported actually give us 113 00:06:26,820 --> 00:06:31,210 access into the internal workings of their color constancy mechanisms. 114 00:06:31,210 --> 00:06:35,910 >> But you know, I would say that, I think I agree with your conclusion, but 115 00:06:35,910 --> 00:06:40,570 I'll say that, when this phenomenon first came about, 116 00:06:40,570 --> 00:06:43,380 the thought process, at least that I started to go through was 117 00:06:43,380 --> 00:06:46,120 not immediately to jump to that conclusion, but rather to ask, 118 00:06:46,120 --> 00:06:48,920 well here is a case where people are reporting different colors. 119 00:06:48,920 --> 00:06:51,520 What is it we know about color vision? 120 00:06:51,520 --> 00:06:54,430 And the way that light is encoded might or might not explain that. 121 00:06:54,430 --> 00:06:55,500 What would you wanna rule out? 122 00:06:55,500 --> 00:06:59,420 Because most of the time we go through lights agreeing about colors and 123 00:06:59,420 --> 00:07:01,140 something was different here. 124 00:07:01,140 --> 00:07:04,950 And so I think it's worth talking a little bit about what we know about 125 00:07:04,950 --> 00:07:07,610 the encoding of light by the retina. 126 00:07:07,610 --> 00:07:09,420 Is that the same across people? 127 00:07:09,420 --> 00:07:14,940 And what other factors one ruled out before one sort of got this idea about 128 00:07:14,940 --> 00:07:19,060 color constancy in the dress, which I think is now the best idea we have. 129 00:07:19,060 --> 00:07:22,640 >> One of the very first things was of course, the idea that people would look at 130 00:07:22,640 --> 00:07:25,395 this image of the dress, just on different display devices. 131 00:07:25,395 --> 00:07:25,990 >> Mm-hm. >> Yeah. 132 00:07:25,990 --> 00:07:28,930 >> Which would differently calibrate it, and that would lead to differences. 133 00:07:28,930 --> 00:07:29,820 But that could mean extruding it. 134 00:07:29,820 --> 00:07:31,060 >> I remember clicking my phone and rotating it. 135 00:07:31,060 --> 00:07:32,190 >> Yes, yes. >> You could change it 136 00:07:32,190 --> 00:07:33,390 from blue/black to white/gold. 137 00:07:33,390 --> 00:07:33,900 >> Yeah. 138 00:07:33,900 --> 00:07:35,800 >> Because the display had an angular effect. 139 00:07:35,800 --> 00:07:37,930 >> Yeah, and there was some notion, as well, 140 00:07:37,930 --> 00:07:40,020 that it might be a difference between old people and 141 00:07:40,020 --> 00:07:44,300 young people, people who had a bit more, maybe cataract, than young people. 142 00:07:44,300 --> 00:07:45,260 >> So it was- >> Or a difference of 143 00:07:45,260 --> 00:07:47,520 viewing it in artificial light versus daylight. 144 00:07:47,520 --> 00:07:50,620 >> So one of the first thing that happened actually were reports on the internet that 145 00:07:50,620 --> 00:07:55,050 somebody in vision science put one up on a projector and got 15 people to come in 146 00:07:55,050 --> 00:07:58,700 look at the same image and the same display from the same angle. 147 00:07:58,700 --> 00:08:00,355 And they still were fighting with each other about it. 148 00:08:00,355 --> 00:08:02,400 >> [LAUGH] >> So, you know, that was, you know, 149 00:08:02,400 --> 00:08:05,930 good tool out a potential just display artifact. 150 00:08:05,930 --> 00:08:07,980 >> Or was it just a difference in naming? 151 00:08:07,980 --> 00:08:10,740 Everybody was actually seeing the same thing, but some people 152 00:08:10,740 --> 00:08:15,550 call bluish whites blue and other people call bluish whites white perhaps. 153 00:08:15,550 --> 00:08:19,990 >> So that's when we got a couple of observers into the lab and 154 00:08:19,990 --> 00:08:25,210 actually had them do color matches to the dress under controlled conditions, and 155 00:08:25,210 --> 00:08:27,306 we still found a difference. 156 00:08:27,306 --> 00:08:30,750 So that's a good, 157 00:08:30,750 --> 00:08:34,970 that supports the idea that they really perceived the dress to be different. 158 00:08:34,970 --> 00:08:37,711 >> It wasn't just a difference in the way they choose to name something that they 159 00:08:37,711 --> 00:08:38,377 [CROSSTALK] >> And 160 00:08:38,377 --> 00:08:42,202 actually it would've been really surprising. 161 00:08:42,202 --> 00:08:45,090 That report was I remember one of the earlier reports and very important. 162 00:08:45,090 --> 00:08:48,530 But it would've been really surprising if it had been different just because 163 00:08:48,530 --> 00:08:52,430 there have been lots of studies of color naming of little well controled chips and 164 00:08:52,430 --> 00:08:53,700 isolation. 165 00:08:53,700 --> 00:08:54,270 And you know, 166 00:08:54,270 --> 00:08:57,900 the whole paint industry relies on the fact that we can look at paint chips and 167 00:08:57,900 --> 00:09:02,350 agree about their names and develop a nomenclature that people agree on. 168 00:09:02,350 --> 00:09:05,985 So, it had just been naming your it would have been a mystery 169 00:09:05,985 --> 00:09:09,915 as to why suddenly with the dress where the names going differently. 170 00:09:09,915 --> 00:09:12,775 >> But there are cases in which this is the same color will be named 171 00:09:12,775 --> 00:09:15,033 in different ways by different people right? 172 00:09:15,033 --> 00:09:16,155 >> Subtly, yeah. 173 00:09:16,155 --> 00:09:17,105 >> Differences for 174 00:09:17,105 --> 00:09:20,775 certain color combinations like the blue green turquoise. 175 00:09:20,775 --> 00:09:24,670 Some people use the turquoise category as a stoned or between the. 176 00:09:24,670 --> 00:09:26,370 Blue and purple there. 177 00:09:26,370 --> 00:09:29,100 There are different light differences between people for 178 00:09:29,100 --> 00:09:32,600 all the other categories I've seen, they agree really quite a lot. 179 00:09:32,600 --> 00:09:36,540 >> Well the interesting thing is that blue is actually a huge category so especially 180 00:09:36,540 --> 00:09:41,010 in Western cultures, light blues, mid blues and dark blues all coalesce into one 181 00:09:41,010 --> 00:09:46,040 big, big category whereas in other cultures for example, in Russian, they're 182 00:09:46,040 --> 00:09:51,780 divided into two very distinct categories with different color terms for them. 183 00:09:51,780 --> 00:09:55,520 But those other sort of smaller categories, the reds, oranges, browns, 184 00:09:55,520 --> 00:09:59,380 yellows, they tend to be more consistently categorized. 185 00:09:59,380 --> 00:10:02,110 >> And also those are colors that when make people make some way 186 00:10:02,110 --> 00:10:02,710 already judgments. 187 00:10:02,710 --> 00:10:06,220 It's pushing a boundary around blue, green. 188 00:10:06,220 --> 00:10:09,720 Everybody agrees that blue is similar to green, someone's a little blue or 189 00:10:09,720 --> 00:10:11,430 a little greener in their naming. 190 00:10:11,430 --> 00:10:14,080 It isn't the cause of fistfights. 191 00:10:14,080 --> 00:10:17,900 The way, that the way that the it's not true of the disagreements about the dress 192 00:10:17,900 --> 00:10:20,110 color, they weren't just. 193 00:10:20,110 --> 00:10:24,860 The boundary of colors that were similar to begin with. 194 00:10:24,860 --> 00:10:28,030 >> White and gold sounds radically different from blue and black, and 195 00:10:28,030 --> 00:10:30,920 that was one of the reasons why that caused such conflict. 196 00:10:30,920 --> 00:10:35,850 If you really dig into it you find that actually whitish blues are difficult 197 00:10:35,850 --> 00:10:39,410 to classify and a lot of people do put them into different categories, 198 00:10:39,410 --> 00:10:43,500 and blue-ish white can be called a blue or white. 199 00:10:43,500 --> 00:10:46,320 And in fact in Western cultures, 200 00:10:46,320 --> 00:10:51,010 most people tend to think of their whites as being slightly bluish. 201 00:10:51,010 --> 00:10:52,860 It's an interesting- >> But golds and blacks? 202 00:10:52,860 --> 00:10:54,480 >> Golds and blacks, and that's another very interesting. 203 00:10:54,480 --> 00:10:58,930 And again, if you look at the dress, the lace, the black lace is quite shiny. 204 00:10:58,930 --> 00:11:01,940 When a yellowish light shines on it, you get yellow highlights. 205 00:11:01,940 --> 00:11:05,300 That sort of dark color can start to look like a sort of dark gold. 206 00:11:05,300 --> 00:11:07,850 >> Mm hm >> So it's actually not that far away, 207 00:11:07,850 --> 00:11:08,990 a gold and a black. 208 00:11:08,990 --> 00:11:15,400 But that's digging into it and getting into very sort of knit picky details it. 209 00:11:15,400 --> 00:11:19,220 The fundamental phenomenon is that color perception is subjective but 210 00:11:19,220 --> 00:11:21,200 relates to objective physical properties. 211 00:11:21,200 --> 00:11:23,900 >> So there's an interesting aspect here which is that sort of obviously you can 212 00:11:23,900 --> 00:11:28,490 have, say a surface that's painted black or 213 00:11:28,490 --> 00:11:30,920 a matte wall is painted blue in some way. 214 00:11:30,920 --> 00:11:32,040 But gold, 215 00:11:32,040 --> 00:11:36,590 the use of the term gold points to another aspect I think of the dress which is, 216 00:11:36,590 --> 00:11:41,220 it's not just about reflectance is about more complex material properties as well. 217 00:11:41,220 --> 00:11:44,290 So where, in the field of vision science clearly, 218 00:11:44,290 --> 00:11:49,500 we have ways to study material perception as well. 219 00:11:49,500 --> 00:11:54,680 And in a sense, a lot of the work that has been done on 220 00:11:54,680 --> 00:11:58,170 color vision is relevant for material perception as well. 221 00:11:58,170 --> 00:12:03,550 So I was wondering if there's sort of, where do we stand with thinking about 222 00:12:03,550 --> 00:12:07,650 how we perceive complex materials in the world? 223 00:12:07,650 --> 00:12:12,580 >> Well, the color is just one aspect of the material properties of objects and 224 00:12:12,580 --> 00:12:15,380 we picked that up from the reflected light signal, but 225 00:12:15,380 --> 00:12:19,480 we can pick up many other properties about objects from that reflected light signal. 226 00:12:19,480 --> 00:12:25,870 The way it changes with viewpoint tells us whether that surface is glossy or mat. 227 00:12:25,870 --> 00:12:29,090 The way it changes with respect to other objects in the scene tells us 228 00:12:29,090 --> 00:12:33,610 whether the object is transparent or translucent or opaque. 229 00:12:33,610 --> 00:12:39,150 We have luster as well we have metallic versus non metallic reflection. 230 00:12:39,150 --> 00:12:43,800 All of these things can be gleaned from the light signal and 231 00:12:43,800 --> 00:12:48,860 the actual body reflectance of the object which is what we associate with its color, 232 00:12:48,860 --> 00:12:52,590 is just one of those physical properties, >> You know but, go ahead. 233 00:12:52,590 --> 00:12:56,070 >> Perception of material properties is really an emerging research field and 234 00:12:56,070 --> 00:12:57,130 during the last decade. 235 00:12:57,130 --> 00:13:02,150 I mean we've learned that our visual system is capable of extracting enormous 236 00:13:02,150 --> 00:13:07,600 lot of different properties from the input signal like whether surface is smooth, 237 00:13:07,600 --> 00:13:14,880 or rough, or whether it's hard or even whether it's hard or soft. 238 00:13:14,880 --> 00:13:20,370 I mean we learn these associations and we use certain 239 00:13:20,370 --> 00:13:25,250 properties of the inputs even certain queues that we don't even know yet 240 00:13:25,250 --> 00:13:29,740 we're in the process of finding out which ones they are to extract these 241 00:13:29,740 --> 00:13:33,120 very complex properties of the world. 242 00:13:33,120 --> 00:13:34,580 >> I was gonna go the other way though. 243 00:13:34,580 --> 00:13:39,000 Talk about not about not about high level what I would call higher and 244 00:13:39,000 --> 00:13:41,460 mid level visual aspects and complexities, but 245 00:13:41,460 --> 00:13:44,330 actually about the basic encoding of light and something that I think 246 00:13:44,330 --> 00:13:49,210 makes the color differences the dress surprising is we know among most people, 247 00:13:49,210 --> 00:13:54,140 the actual cells that encode the light and MCI this first step of the signal that 248 00:13:54,140 --> 00:13:58,890 gets to us are actually in common among most people so called color normal. 249 00:13:58,890 --> 00:14:05,390 Vision which has maybe 95, maybe more than that 98% of us. 250 00:14:05,390 --> 00:14:08,886 And the fact that that encoding is highly similar means that things like 251 00:14:08,886 --> 00:14:12,265 the way that the colors get mixed on your TV's like the red, green and 252 00:14:12,265 --> 00:14:15,190 blue primaries to make yellow is something we all agree on. 253 00:14:15,190 --> 00:14:17,660 You don't have to have your television customized. 254 00:14:17,660 --> 00:14:20,860 For each observer, because the way their color mixing behavior and 255 00:14:20,860 --> 00:14:22,680 perception works differs. 256 00:14:22,680 --> 00:14:26,450 And so that's one of the things I think, again, that suggests the commonality to 257 00:14:26,450 --> 00:14:30,020 color perception that makes the dress quite surprising. 258 00:14:30,020 --> 00:14:35,020 And again, as that phenomenon first came out I think people scratched 259 00:14:35,020 --> 00:14:40,330 their head and said, well could it be that maybe this particular stimulus 260 00:14:40,330 --> 00:14:43,070 is just on the edge of some normal cover difference. 261 00:14:43,070 --> 00:14:45,830 But I think the evidence now was accumulated from larger studies that 262 00:14:45,830 --> 00:14:47,570 that's not what's going on. 263 00:14:47,570 --> 00:14:52,630 But again, one could imagine those kinds of things and I think many of us did. 264 00:14:52,630 --> 00:14:56,560 >> Yes, so the dress isn't due to some differences in the eye. 265 00:14:56,560 --> 00:14:57,320 >> Right. 266 00:14:57,320 --> 00:14:59,540 >> In the actual receptors, the- >> Correct, yeah. 267 00:14:59,540 --> 00:15:02,990 >> The light sensors that are receiving the light signal. 268 00:15:02,990 --> 00:15:05,630 Or in, for example, the optics of the eye, 269 00:15:05,630 --> 00:15:08,770 in a certain cloudiness of the lens in some people versus other people. 270 00:15:08,770 --> 00:15:09,850 >> Right. >> Completely agree with you, 271 00:15:09,850 --> 00:15:11,910 very important to rule those things out. 272 00:15:11,910 --> 00:15:17,010 But then of course you do have the roughly 8% of males who 273 00:15:17,010 --> 00:15:19,300 do have differences in the light senses. 274 00:15:19,300 --> 00:15:19,871 >> Right. >> In their eye. 275 00:15:19,871 --> 00:15:22,100 >> Right. >> People with color vision deficiency. 276 00:15:22,100 --> 00:15:28,280 And that's another really hugely important source of individual differences which 277 00:15:28,280 --> 00:15:33,860 I think possibly doesn't receive enough attention in society. 278 00:15:33,860 --> 00:15:38,910 And should be receiving even more now that we use colors so 279 00:15:38,910 --> 00:15:42,900 much more for all of our various displace and 280 00:15:42,900 --> 00:15:48,990 devices that colors becoming ever more rampant, I could say. 281 00:15:48,990 --> 00:15:51,100 They say. [LAUGH] 282 00:15:51,100 --> 00:15:55,247 >> Stop, stop because they're small. 283 00:15:55,247 --> 00:15:59,119 >> I mean, the democratic influence basically have the problem that we had 284 00:15:59,119 --> 00:16:00,650 with the dress all the time. 285 00:16:00,650 --> 00:16:04,000 >> Yes. >> I mean, just like a whole dimension of 286 00:16:04,000 --> 00:16:06,620 the color representation. 287 00:16:06,620 --> 00:16:08,670 And when we talk about red or 288 00:16:08,670 --> 00:16:12,250 green, they don't know what we're talking about most of the time. 289 00:16:12,250 --> 00:16:15,800 So, but somehow they seem to cope. 290 00:16:15,800 --> 00:16:17,180 >> Well that's the astonishing thing. 291 00:16:17,180 --> 00:16:21,300 I think that there is an advantage of green rather. 292 00:16:21,300 --> 00:16:25,890 Crotchety old ophthalmologist in the early 20th century said that you had to really 293 00:16:25,890 --> 00:16:28,410 watch colorblind observers because they were very 294 00:16:28,410 --> 00:16:29,580 devious and- >> [LAUGH] 295 00:16:29,580 --> 00:16:31,230 >> He said they were basically- 296 00:16:31,230 --> 00:16:32,250 >> Trained from a young age. 297 00:16:32,250 --> 00:16:35,490 >> Yeah, trained from a young age to learn how to give the right answer and 298 00:16:35,490 --> 00:16:39,230 they were actually super intelligent because they go through life. 299 00:16:39,230 --> 00:16:41,710 Seeing the world completely differently from other people, but 300 00:16:41,710 --> 00:16:43,410 somehow keep this hidden. 301 00:16:43,410 --> 00:16:45,560 I think it was possibly easier then. 302 00:16:45,560 --> 00:16:49,320 And I am concerned now that kids in schools who 303 00:16:49,320 --> 00:16:55,370 are exposed to increasing amounts of color coding will be, 304 00:16:55,370 --> 00:16:58,540 in some ways more disadvantaged by their color vision deficiency, 305 00:16:58,540 --> 00:17:04,090 their inability to discriminate reds, from greens and browns from khakis. 306 00:17:04,090 --> 00:17:08,160 >> But so in the past apart from this idea that there's people who will say lack one 307 00:17:08,160 --> 00:17:12,880 specific photo pigment, there's also variation, natural variation or 308 00:17:12,880 --> 00:17:16,970 individual differences between people who would normally be classified as color 309 00:17:16,970 --> 00:17:18,560 normal observers. 310 00:17:18,560 --> 00:17:21,430 Yet at the same time, we they don't, 311 00:17:21,430 --> 00:17:28,160 I mean it's not as significant, perhaps, in terms of color reproduction. 312 00:17:28,160 --> 00:17:30,830 >> Well, these things, they come in degrees, and 313 00:17:30,830 --> 00:17:34,580 there's a small variation amongst when you look at the little plates and 314 00:17:34,580 --> 00:17:37,720 you read the number off or trace the shape. 315 00:17:37,720 --> 00:17:40,810 That classifies people as color normal, and there's a small variation there. 316 00:17:40,810 --> 00:17:44,670 But there is also maybe this is what you're referring to is cover anomalous 317 00:17:44,670 --> 00:17:47,510 individuals who are not colorblind, 318 00:17:47,510 --> 00:17:52,020 we might say their color different, and whose precepts again won't match 319 00:17:52,020 --> 00:17:56,540 the majority of the populations in the 8% of mainly males that I mentioned. 320 00:17:56,540 --> 00:18:02,630 So that's another source of individual variation, I think is well understood, 321 00:18:02,630 --> 00:18:06,590 not related to color consistency directly [be]cause it's at the visual front end. 322 00:18:06,590 --> 00:18:09,450 >> I think it's quite amazing how the visual system calibrates 323 00:18:09,450 --> 00:18:11,750 itself into the world. 324 00:18:11,750 --> 00:18:16,740 There's enormous variation in the relative number of L and M cones, or red and 325 00:18:16,740 --> 00:18:19,770 green cones that we have in the retina. 326 00:18:19,770 --> 00:18:24,380 And still, when people are asked, as David has shown us very nicely, to adjust 327 00:18:24,380 --> 00:18:28,870 a unit yellow, to mix a yellow out of red and green, they all agree perfectly well. 328 00:18:28,870 --> 00:18:31,130 And I think that's truly amazing. 329 00:18:31,130 --> 00:18:32,190 >> It is astonishing, and 330 00:18:32,190 --> 00:18:36,240 I think we still don't really understand how that comes about. 331 00:18:36,240 --> 00:18:38,830 How that calibration of a visual system comes about. 332 00:18:38,830 --> 00:18:41,900 I mean clearly there's an earlier experience, there's an environmental 333 00:18:41,900 --> 00:18:46,950 influence, and there's learning, but what is it that enables one 334 00:18:46,950 --> 00:18:51,750 person's unique yellow to match another person's unique yellow, despite really big 335 00:18:51,750 --> 00:18:56,150 differences in the way their light sensors are laid out in the back of the retina? 336 00:18:56,150 --> 00:18:56,880 I agree with you. 337 00:18:56,880 --> 00:19:00,980 I think that's a fascinating and unexplained phenomenon. 338 00:19:00,980 --> 00:19:05,310 >> I think it seems like there's a lot of research that could be done in that area, 339 00:19:05,310 --> 00:19:06,250 absolutely. 340 00:19:06,250 --> 00:19:09,748 Now, this sort of circles back to the dress, but there's the obvious question, 341 00:19:09,748 --> 00:19:13,400 well, to a color-deficient observer, have there been any studies looking at color 342 00:19:13,400 --> 00:19:18,560 naming of the dress in people's color vision deficiencies? 343 00:19:18,560 --> 00:19:20,705 >> Only anecdotally, to my knowledge. 344 00:19:20,705 --> 00:19:26,740 >> [LAUGH] >> Interestingly, 345 00:19:26,740 --> 00:19:32,340 some people with color vision deficiency distance themselves from the phenomenon, 346 00:19:32,340 --> 00:19:34,500 don't engage in the debate. 347 00:19:34,500 --> 00:19:36,020 >> They're already used to people telling them. 348 00:19:36,020 --> 00:19:38,375 >> They're so used to that already. 349 00:19:38,375 --> 00:19:42,100 >> [LAUGH] >> So I suppose one of the some 350 00:19:42,100 --> 00:19:46,340 interesting questions for me as an early career researcher in this field is sort of 351 00:19:46,340 --> 00:19:49,960 to hear from obviously more senior people such as you 352 00:19:49,960 --> 00:19:54,490 episode where you see the field going, seeing the next ten to 20 years, and 353 00:19:54,490 --> 00:19:59,260 what the big sort of emerging topics we heard material perception was one of them. 354 00:19:59,260 --> 00:20:00,590 But what's so 355 00:20:00,590 --> 00:20:06,930 where are we heading with color science or the neuroscience of color vision. 356 00:20:06,930 --> 00:20:08,820 >> I think it's heading into different directions. 357 00:20:08,820 --> 00:20:13,110 Of course, there is many more really interesting questions in the retina 358 00:20:13,110 --> 00:20:16,970 that people are starting to look into now using very complex and 359 00:20:16,970 --> 00:20:18,980 fancy new technology like adaptive optics. 360 00:20:18,980 --> 00:20:23,640 But it's also, we're more capable now of studying color vision in the real world or 361 00:20:23,640 --> 00:20:28,630 in virtual realities where we can vary the illuminant as we wish I 362 00:20:28,630 --> 00:20:32,520 think that opens up a lot of new possibilities. 363 00:20:32,520 --> 00:20:35,420 >> I want to second actually, both of the things you said but particularly, 364 00:20:35,420 --> 00:20:41,190 you know, something that emphasized by the phenomenal address is that in a complex 365 00:20:41,190 --> 00:20:44,690 image, I should maybe I should back up and say a lot of what we know about color 366 00:20:44,690 --> 00:20:50,300 vision is knowledge obtained where people looked at very well controlled flat, 367 00:20:50,300 --> 00:20:54,240 spatially uniform discs and maybe a background and if you were really doing 368 00:20:54,240 --> 00:20:57,690 a complicated experiment, the color of the background would change. 369 00:20:57,690 --> 00:20:59,390 That was a radical maneuver. 370 00:20:59,390 --> 00:21:05,510 You get to the dress and now it's a very spatially complex image of a real thing. 371 00:21:05,510 --> 00:21:11,180 With material and mixed with color with the color attached to an object and 372 00:21:11,180 --> 00:21:16,830 I'd say our understanding of how color maps out into this complex objects 373 00:21:16,830 --> 00:21:20,120 is in something Anya has emphasized is that 374 00:21:20,120 --> 00:21:24,330 we get most real objects even though we give them a code name they often, 375 00:21:24,330 --> 00:21:27,240 if you look at the individual little bits, there's lots of colors there that somehow, 376 00:21:27,240 --> 00:21:29,800 you grow them together in a way that's not fully understood. 377 00:21:29,800 --> 00:21:33,860 So that direction, I think, is an exciting avenue, one, I'd say, 378 00:21:33,860 --> 00:21:36,490 where quite what the right experiment to do and 379 00:21:36,490 --> 00:21:38,560 the right way to think about it is something we're struggling with. 380 00:21:38,560 --> 00:21:42,250 So there's a risk as the young researcher there's a risk that it might not work out. 381 00:21:42,250 --> 00:21:44,650 But the questions are really interesting. 382 00:21:44,650 --> 00:21:48,970 >> Yeah, yes, so I think to understand how the perception 383 00:21:48,970 --> 00:21:52,910 of object color is integrated with the perception of the object. 384 00:21:52,910 --> 00:21:58,720 And the scene in the world as a whole, in the natural world, in real, 385 00:21:58,720 --> 00:22:03,830 natural behavioral tasks is still a massive goal. 386 00:22:03,830 --> 00:22:09,990 And one which we do have better tools to tackle, including 387 00:22:09,990 --> 00:22:14,700 better computer graphics, so better control over computer generated stimuli, 388 00:22:14,700 --> 00:22:24,090 and better control over real-world stimuli, multi-spectrum light sources. 389 00:22:24,090 --> 00:22:27,400 Specialist imaging equipment. 390 00:22:27,400 --> 00:22:30,660 All these things give us better control over actual stimuli, 391 00:22:30,660 --> 00:22:35,526 which more closely replicate those natural stimuli with which we interact every day. 392 00:22:35,526 --> 00:22:41,020 But I think there's still debate 393 00:22:41,020 --> 00:22:46,755 over the actual function of color in real world object perception. 394 00:22:46,755 --> 00:22:51,740 >> Something I would say, coming back to the dress and 395 00:22:51,740 --> 00:22:55,700 these points is that, you know we have a challenge to with the dress which is there 396 00:22:55,700 --> 00:23:01,320 is this one image that has this striking behavior and people are there was a talk 397 00:23:01,320 --> 00:23:07,130 about the shore in VSS this year, which was another object that had this bicolor. 398 00:23:07,130 --> 00:23:09,880 And people are beginning to work on 399 00:23:09,880 --> 00:23:13,430 synthesizing stimuli that produce these fights. 400 00:23:13,430 --> 00:23:15,930 So you know, maybe making the world worse temporarily. 401 00:23:15,930 --> 00:23:20,510 But when we understand enough about it so that we can create the stimuli and 402 00:23:20,510 --> 00:23:23,160 manipulate, is it gonna be ambiguous or is it not? 403 00:23:23,160 --> 00:23:26,570 Then we really begin to understand what it is that's causing the ambiguity. 404 00:23:26,570 --> 00:23:28,540 At the moment, I think we're still searching for 405 00:23:28,540 --> 00:23:31,360 the detailed clues that will let us figure that out. 406 00:23:31,360 --> 00:23:36,830 >> And conversely again, going back to the dress if you take the real dress. 407 00:23:36,830 --> 00:23:39,560 And make different environmental manipulations and 408 00:23:39,560 --> 00:23:43,590 determine which of those influence people into seeing it the same way. 409 00:23:43,590 --> 00:23:47,770 You can get a better handle on what those key mechanisms are that contribute to 410 00:23:47,770 --> 00:23:49,070 color constancy. 411 00:23:49,070 --> 00:23:52,380 So for example, taking the real dress and putting in blue light and 412 00:23:52,380 --> 00:23:55,010 then yellow light on it, you will get people to disagree. 413 00:23:55,010 --> 00:23:57,520 But if you put it against a yellow background as in Dr. 414 00:23:57,520 --> 00:24:01,400 Verner has shown, you'll push them on the direction of seeing it as blue black. 415 00:24:01,400 --> 00:24:03,360 Or if you just light the edges with the blue light, 416 00:24:03,360 --> 00:24:05,510 you'll push them in the direction and see it in white and gold, 417 00:24:05,510 --> 00:24:09,030 so then we know that background is important and edges are important. 418 00:24:09,030 --> 00:24:14,003 And we can learn then, a bit more about those critical, real word cues 419 00:24:14,003 --> 00:24:18,998 that the human visual system uses in practicing its color constancy. 420 00:24:18,998 --> 00:24:24,528 >> So in summary in a sense it's sort of more experimental 421 00:24:24,528 --> 00:24:30,541 control we can really tease apart [INAUDIBLE] So thank you for 422 00:24:30,541 --> 00:24:36,770 joining me and this discussion was very interesting. 423 00:24:36,770 --> 00:24:48,640 And thanks for watching.