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Visual Content Recognition

December 8th, 2007 1 comment

Visual Content Recognition is the ability to recognize and utilize content within the image. This is affecting every aspect of digital photography. The technology is already being used in numerous ways and the future is mind boggling. In the example above, face recognition detects triangles created by eyes and mouth, then sets focus and exposure. Let me give a couple examples and show some MIND BLOWING LINKS to examples and videos. You may want to look at the MIND BLOWING LINKS first.

STITCHING TOGETHER IMAGES: Photoshop can recognize pixels that match up and put them together. This allows you to stitch together multiple images to make one “bigger” image. Bigger means wider angle of view, more resolution, more dynamic range, or more depth of field. This also allows you to line up multiple hand held images and combine different elements together. Three shots of a group portrait can be aligned, then the eyes can be changed on the blinkers. Photoshop is making good use of Visual Content Recognition with Photomerg, Auto Align Layers, and the Auto Align Source Images when making HDR images. Microsoft has a technology called PhotoSynth which stitches together multiple images from multiple photographers. It will find all the images it can of a subject stitch them all together to make a 3D representation of it. For example: Photosynth could go to flicker and find all the tourist images of the Washington Monument from all angles, then stitch them into a 360 degree view. Mind blowing link number one is a Demo of Seadragon and Photosynth done at TED 2007 by Blaise Aguera Arcas. You can try out the Microsoft Live Labs Photosynth tech preview at http://labs.live.com/photosynth/

MIND BLOWING LINK #1 Seadragon and Photosynth Video

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