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Picture of Nobuo this afternoon, perhaps a bit on the over-processed side... That's definitely his favorite place and pose, though.
curves and desaturated a little bit in GIMP (the red was very in your face) then a "San Carmen" effect in Aviary... (the Flickr built-in editing app)
More line intersection sketches - lines start from 2000 equally spaced sites around the perimeter, heading towards a site roughly opposite, and stop when they hit an existing line. Uses Marius Watz' line intersection code.
Example my post-processing work.
Basically I used Vintage wash preset from Rebecca Lily, but here is a lot of other post-production work. The jeans are re-colored, I laboured a lot with the sky structure (RAW+underexposition to get a clouds up) and colored them. I had also make face lighter, I colored the sky and the background. There are detailed exposure (darking, burn) work by brush partly on the picture. Finally I add a texture (amazing Florabella textures).
Emulsion made from pansy petals.
The print using the pansy leaves for the emulsion didn't really work. 1 outta 2 ain't bad.
I'm naturally strawberry blonde and last July decided to go brunette and over the months continued to go darker and then added red highlights... I finally decided I'm over it (mainly for monetary and upkeep reasons because I'm not much of a high maintainence chick). I spent almost all day at the salon I used to work at while they stripped, processed, foiled and rocked out my hair. The next time it should be fully back to it's natural state :). We just had a lot of goofy fun during the whole process so I wanted to share it.
Dept. of Chemical Engineering & Applied Chemistry - Mahadevan Lab, Faculty of Applied Science & Engineering, University of Toronto
Photo by Sara Collaton
More heavily processed pictures of Tigger. The original image was of Tigger getting my attention while standing in a warm sunbeam in the Kitchen.
Processed with Still Life collection - Lightroom Presets: www.adobelightroompresets.net/lightroom-presets/still-lif...
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First the image was converted into a set data vectors in format (x,y,r,g,b), one for each pixel in image.
Then this 5D-data was projected to 2D-space using principal component analysis, The resulting image was rebuilt based on that reduced information.
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