I've long been interested in applying my background in functional analysis (especially wavelets) and other related areas to actually create something with "real world" value (not that I don't enjoy math for it's own sake) and I thought that computer vision would be a natural place to start until I discovered that many of the books I found were littered with geometry. Not that there is anything wrong with geometry, I just find that it isn't my cup of tea. Thus, I am curious as to whether there any serious approaches to computer vision that do not make use of geometry (projective or otherwise)? Just to keep this from getting closed, please don't turn this into a debate on whose approach is better etc.