[SoftwareBug2.0]

Originally Posted by faust1706

Say I have a gray scale image, 640x480 pixels, like this image: I am thinking about training a neural network, with the input of each pixel, to calculate distance. In my training data, I would load in thousands of images with corresponding distances.. I think this would be really cool way of doing computer vision to find the distance to a target. The question arises as to how quick it is and computational heavy it will be. Thoughts?

The first thing that I think of if you're just throwing whole images in is: http://en.wikipedia.org/wiki/Curse_of_dimensionality