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Author Topic: Help with Graphic 3-D interpolation
bronzed_bison Posted: 14-Jun-09 16:35
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I was wondering if I could train a neural network to solve a prediction problem: I have a series of bitmaps (photographs basically) covering a few angles around a 3-D object (the input data). I would like the neural network to predict the projection of the object from ANY angle around it (out of 360 degrees - i.e only a spin around the object). I was wondering if this is possible (even if it's a slow network it'll do).

If so, then what network architecture and training algorithm should I use to train the network? (I suppose that the number of required neurons will increase with image size, so let's say I have a 256 x 256 bitmap).

Any help will be appreciated. Thanks!

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