0:00:06.350,0:00:09.625 The first thing which lets me down[br]when I am nervous is my Spanish. 0:00:09.625,0:00:10.850 (Laughter) 0:00:10.850,0:00:12.855 Well, let's see. 0:00:13.471,0:00:18.835 Due to my origin, the social and ethnic[br]reality in which I was born, 0:00:18.835,0:00:24.319 I have aways thought about [br]the classification of colors 0:00:24.319,0:00:27.766 associated with race this way:[br]red, white, black and yellow. 0:00:27.766,0:00:31.765 A reduction of something which, [br]to me, is really much richer. 0:00:31.765,0:00:35.249 This is my family,[br]adopted members included. 0:00:35.249,0:00:39.367 I carry in my blood, [br]or at least in my eyes, 0:00:39.367,0:00:42.033 the distinct colors that make [br]the Brazilian population. 0:00:42.033,0:00:46.248 Among them, [br]I've never felt different.[br] 0:00:46.248,0:00:49.722 But, when far from them,[br]I sometimes do. 0:00:49.722,0:00:54.820 That's why I came up with the idea 0:00:54.820,0:00:59.568 to develop a catalogue of colors,[br]but only real colors. 0:01:00.227,0:01:03.247 To do so, I wanted to find[br]a secure mode. 0:01:03.247,0:01:07.740 Something that would be [br]an industrial system, 0:01:07.740,0:01:10.519 where all the colors [br]are of equal importance. 0:01:10.519,0:01:13.771 Therefore I chose Pantone scales, 0:01:13.771,0:01:18.778 in which primary colors have[br]the same importance as mixed ones. 0:01:20.486,0:01:23.254 Photos using this color system 0:01:23.254,0:01:29.240 are made in a very simple[br]and easy to reproduce way. 0:01:29.240,0:01:31.255 On white background. 0:01:31.255,0:01:33.192 Whan i take portraits [br]on a white background, 0:01:33.192,0:01:35.812 I always pick a 11x11 pixel[br]square from the nose. 0:01:35.812,0:01:38.254 And then I apply this color[br]to the background 0:01:38.254,0:01:41.496 and look for an appropriate color[br]in the Pantone system. 0:01:41.496,0:01:43.500 The choice of the nose is intentional, 0:01:43.500,0:01:48.095 because it is the first part of body[br]that changes color because of sunbathing, 0:01:48.095,0:01:51.567 or when we are frozen,[br]or as a result of drinking too much... 0:01:51.567,0:01:54.280 So that no one is the same color. 0:01:54.770,0:01:56.273 Like this man. 0:01:56.653,0:02:00.723 From the very beginning, the project[br]was intended to be realised online, 0:02:00.723,0:02:03.487 globally, with public announcements. 0:02:04.237,0:02:08.962 Absolutely everyone is welcomed[br]to participate in the project, 0:02:08.967,0:02:12.774 which has got so much empathy[br]from the public, 0:02:12.774,0:02:16.750 and, finally, all these people[br]are our new identities. 0:02:17.500,0:02:19.751 They are online identities. 0:02:20.231,0:02:24.272 This project, which was started[br]in a customary way 0:02:24.272,0:02:30.259 and has taken huge proportions[br]because I'm always short of colors, 0:02:31.249,0:02:36.257 was planned as a project[br]moving across all five continents. 0:02:36.747,0:02:41.030 The post remarkable thing[br]about this great project 0:02:41.030,0:02:44.256 is the number of works[br]which have risen from it. 0:02:44.256,0:02:48.766 It's an unfinished project,[br]yet it's producing things. 0:02:48.766,0:02:50.744 One is Kyle Mathewson, 0:02:50.744,0:02:53.260 professor of the University of Illinois, 0:02:53.260,0:02:56.600 who uses the portraits from Humanae 0:02:56.600,0:02:59.274 for his physiology classes. 0:03:00.361,0:03:04.478 This is John Seymour, [br]John Math Guy, who has decided 0:03:04.478,0:03:09.899 to do a statistic analysis[br]of the colors in a scientific way 0:03:09.899,0:03:15.029 to find out the percentage of each one,[br]whether there more of one than the others. 0:03:15.419,0:03:18.889 This is Emily Hardin' brilliant work,[br]who is interested 0:03:18.889,0:03:22.499 in a formal range of faces[br]presented in the project. 0:03:22.499,0:03:26.359 I publish the photos on Tumblr,[br]she draws them on paper. 0:03:28.903,0:03:34.373 From Los Ángeles, we are entirely[br]connected by this unfinished job. 0:03:36.504,0:03:42.644 Here is the work of Ana Vasconcelos,[br]a teacher who lives in São Paulo, 0:03:42.644,0:03:46.644 who presents the project to her students, 0:03:47.188,0:03:53.998 she gives them dyes to mix[br]then they paint with them. 0:03:53.998,0:03:59.018 It is to create this personal[br]and untransferable identity 0:03:59.027,0:04:03.727 and completely destroy what is known[br]as a "flesh color" pencil . 0:04:03.735,0:04:07.735 The point is that the pencil[br]is not of "body color", not at all. 0:04:08.345,0:04:09.545 (Applause) 0:04:14.375,0:04:18.760 One of the most emotional things[br]and one of the main rewards, 0:04:18.760,0:04:22.180 also going back to[br]what I said about my family, 0:04:22.180,0:04:26.270 are the emails I get from [br]families with adopted children 0:04:26.270,0:04:29.671 about this family game[br]about identifying those pictures 0:04:29.671,0:04:32.871 realizing that[br]all the colors equalize us. 0:04:33.087,0:04:37.067 This is the main reward[br]of the project. 0:04:37.194,0:04:38.854 This family is wonderful. 0:04:39.474,0:04:44.594 I always say that with Humanae,[br]I've learned to be a mere catalyst, 0:04:44.733,0:04:48.723 I am a channel through which[br]people partly tell my story, 0:04:49.502,0:04:55.202 and keep telling their own too,[br]because they tell what I'm saying. 0:04:55.274,0:05:01.760 Humanae is like an invitation to press[br]a "share" button inside our brain 0:05:01.760,0:05:05.000 and equalize us all through tints. 0:05:05.029,0:05:09.306 There are 1076 of us and I hope[br]there will be thousands and thousands. 0:05:09.306,0:05:11.203 Thank you very much. 0:05:11.203,0:05:12.760 (Applause)