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This is a really cool project, good job!

Spoon is an interesting example : http://imgessence.com/browse/view/190 - You can see the many basic outlines of a 'spoony' shape. However, all of those images of spoon are presenting the object rotated at some more or less random angles. It would be interesting to add some algorithm that would try to match the images (rotate / scale) to the average and hence give less noisy output.

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i actually kind of like that it doesn't attempt to rotate/scale to an average.. this way you get a rough sense of the most common orientations.

in this case the images with the spoon 'head' to top-right look to be most common (darkest/most defined). but the next most common orientations appear to be where the spoon is flipped with the head aligned somewhere between top and middle left, and with many more variations..

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