Showing posts with label Research. Show all posts
Showing posts with label Research. Show all posts
Tuesday, 8 October 2013
Monday, 15 July 2013
Saturday, 1 June 2013
Thursday, 9 May 2013
Saturday, 23 February 2013
Wednesday, 23 January 2013
Wednesday, 30 May 2012
Friday, 25 May 2012
Thursday, 24 May 2012
Saturday, 19 May 2012
Tuesday, 15 May 2012
Thursday, 10 May 2012
Keith Haring
(May 4, 1958 – February 16, 1990) was an artist and social activist whose work responded to theNew York City street culture of the 1980s.
Wednesday, 9 May 2012
Colour Theif Code Generator
Color Thief
by Lokesh Dhakar
A script for grabbing the dominant color or color palette from an image. Uses Javascript and the canvas tag to make it happen.
Tuesday, 24 April 2012
Color Histograms - Charts and Clouds
Color Cloud
How hard can it be to produce distributions of various colors in an image, like the set above? Well, I realized after some tinkering with the Aggregate Posters I had created is that it isn't a linear leap from one-dimensional histograms.
There seem to be two confounds. One is the obvious one of showing a three-dimensional distribution in two-dimensions. And the other is the perceptual confound of showing actual colors without contextual interactions (Here's the link to the abstract if you are blocked by a paywall). The usual method of plotting histograms separately for each of the three primary color bands is hardly optimal. There's no reason to believe that the peaks of the individual bands correspond to the same triplet of color, and the even the fundamental idea of showing spectral densities with graphs that could just as well be used for any universal triplet is dicey. Why not have the graphs speak to you in the visual language of color when they are supposed to be describing color?
There seem to be two confounds. One is the obvious one of showing a three-dimensional distribution in two-dimensions. And the other is the perceptual confound of showing actual colors without contextual interactions (Here's the link to the abstract if you are blocked by a paywall). The usual method of plotting histograms separately for each of the three primary color bands is hardly optimal. There's no reason to believe that the peaks of the individual bands correspond to the same triplet of color, and the even the fundamental idea of showing spectral densities with graphs that could just as well be used for any universal triplet is dicey. Why not have the graphs speak to you in the visual language of color when they are supposed to be describing color?
As a starting point I decided to bin the color triplets into bands of 25 gray-scale values in each of the RGB band. That is, each (r,g,b) triplet is truncated as (r*,g*,b*) where each value can only be a multiple of 25 up to a maximum of 255. That gives you a resolution of 11^3 voxels in the entire color space covered by a 24-bit representation. The next step is deciding how to order the bins. Our perception of color difference varies quite a bit from the euclidean distance between two color triplets. It seemed prudent to take brightness out of the mix by normalizing all triplets by the sum of their values, making them (r/(r+g+b), g/(r+g+b), b/(r+g+b)) and then ordering them with (1,0,0) (primary red) as the leftmost point.
We can do better. There's no reason to stick to a one-dimensional representation when we are so adept at analyzing spatial arrangments of colors. Why not try using this ability to our advantage?
Aside: Chernoff Faces are a lovely example of using our immense computing prowess in creative ways.
The color cloud depicted above is one attempt at obtaining two-dimensional representations. Color densities are converted into scattered random dots around the spatial position assigned to the color triplet, with the extent of the spatial position determined by the frequency with which that triplet appears in the image. So, more frequent a color, larger the pointillistic blot of that color. After multiple attempt at achieving a good separation of the three colors, I decided on the following x and y transformations for the triplet (r,g,b):
x= Sigmoid((g-r+1)/2)
Check Out: http://cns.bu.edu/~gsc/ColorHistograms.html
Aside: Chernoff Faces are a lovely example of using our immense computing prowess in creative ways.
The color cloud depicted above is one attempt at obtaining two-dimensional representations. Color densities are converted into scattered random dots around the spatial position assigned to the color triplet, with the extent of the spatial position determined by the frequency with which that triplet appears in the image. So, more frequent a color, larger the pointillistic blot of that color. After multiple attempt at achieving a good separation of the three colors, I decided on the following x and y transformations for the triplet (r,g,b):
x= Sigmoid((g-r+1)/2)
Check Out: http://cns.bu.edu/~gsc/ColorHistograms.html
Monday, 23 April 2012
Tuesday, 10 April 2012
Philosophical Graphics
Using basic shapes, patterns and bold colours, graphic designer Genis Carreras examines and explains complex philosophical theories.
Genís aimed to transform a field that “seems boring, complicated and inaccessible into something more attractive, fresh and simple, explaining the complex theories using only geometry and colour.”
Wednesday, 14 March 2012
Tim Berners-Lee: The year open data went worldwide
At TED2009, Tim Berners-Lee called for "raw data now" -- for governments, scientists and institutions to make their data openly available on the web. At TED University in 2010, he shows a few of the interesting results when the data gets linked up.
Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium, overseeing the Web's standards and development.
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Jonathan Riedel
Japanese- vs. U.S. -made cars?
iPhones vs. Blackberrys?
It'd be nice to see a real, "neutral" source for these things instead of listening to sales pitches or reading them on google searches.