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These two images are screenshots from a program I just wrote in Processing. The were taken just a few seconds apart under the same lighting conditions. The dramatic change in perceived lighting is due to a selective emphasis that has been applied automatically, in live, real-time, to images coming from the webcam on top of a modern iMac.
A region of interest is selected by the user by either moving object or the camera to place the interesting region in the center of the image. Given a rudimentary guess of a foreground-background segmentation using a circular lump about the center of the screen, the algorithm begins to repeatedly build a model of color likelihood given a segmentation label (a value between 0 and 255) then relabel each pixel with its most likely label. At the end of each pass the label image is smoothed with a small Gaussian kernel. Passes are synchronized with grabbing of new frames from the camera so, in this way, the label image from the previous frame becomes the prior labels for the next frame, exploiting temporal coherence.
The combined sharing of information across space and time allows the algorithm to track moving regions of interest even under drastic appearance changes. This comes with a trade-off for the region of interest shifting undesirably in some occasions. Though it is uncommon, it is quite possible for the region of interest to become disconnected. In the right image, several distinct blobs are visible on the door.
To create visual emphasis, the areas outside of the region of interest are darkened and blurred slightly.
Source and binary (128k, requires quicktime for camera access): adamsmith.as/typ0/sketch_070813a-001.zip
more playing with geometry...
wrt method described here
// uv given on [0..1), remap to [-pi,pi) to simplify equations below
u = u * 2.0*Math.PI - Math.PI;
v = v * 2.0*Math.PI - Math.PI;
// evaluate
double sqrtTwo = Math.sqrt(2.0);
double twoThirdsPi = Math.PI * 2.0 / 3.0;
double x = Math.sin(u) / (sqrtTwo + Math.cos(v));
double y = Math.sin(u+twoThirdsPi) / (sqrtTwo + Math.cos(v+twoThirdsPi));
double z = Math.cos(u-twoThirdsPi) / (sqrtTwo + Math.cos(v-twoThirdsPi));
return new WB_Point(x,y,z);
It all started when we were cleaning out the photo club's locker. We found an old, expired disposable camera inside and nobody knew where it came from. Instead of throwing it out, I took it home and shot the roll in one weekend, eventually cross-processing it in some leftover E6 chemicals I had from my slide film processing. Since this is C41 (Color Negative) film, processed in E6 (Color Slide) chemicals, I expected some wild colors and strange effects. The result is actually strangely accurate to real life...
Taking some pictures by the Morningstar Grist Mill.
austria can be pretty rural... rural and weird... so - drive fast, lock your car doors and close the windows. don't talk to austrian natives and PLEASE... don't feed them. they may bite when nervous...
just believe it. i'm born here.
Picture of Nobuo on the bed (on white wee-wee mats the color processing has changed to cyan) in California in October of 2013. The original image was very grainy (due to low light I think - it was seven years ago...) and in an attempt to get Nobuo's colors looking like Nobuo, the wee-wee mats turned blue.
I am using the cyanotype as one layer in a three color, CMY gum print. The other layers will be on their way soon enough.
Drawings on the green grass
photo by NNoti Nastenkina
www.flickr.com/photos/nnoti_nastenkina
And nice video is here vimeo.com/54197118#
From the forthcoming exhibition Process: The Working Practices of Barney Bubbles
See the Eye events page for more details: blog.eyemagazine.com/?page_id=158
Unused artwork layers for front and back cover, 4000 Weeks Holiday by Ian Dury & The Music Students, 1983.
I pulled this old photo out of my pile of folders to share another post-process technique I have used to make up for bad backgrounds.
This time I took a previous session's test photo of a blanket and placed it behind the layer of the new photo. I erased the old background to reveal the blanket and used a colorize action to turn the blanket to a blue that matched the blue of the new photo. To help transition between the two layers, I used a blur paintbrush and ran it across the edges of the white blanket where it met the new background. I found this to be much much faster than cloning a new background (see the previous upload in my photostream) although with this technique you have to be careful that the background doesn't look fake and too different from the foreground. (I'm still debating whether this example works or not but I mainly uploaded it for the technique itself, not my first attempt at executing the technique. If you take a photo of your backdrop before the current session, then you have a much better chance of it looking natural when you use this technique.)