Multiscale stereopsis via Gabor filter phase response

The most difficult task in stereopsis is to resolve the correspondence problem from a pair of stereo 2-D images. By observing that the perspective projections of 3-D objects can be described as a phase shift issue, we solve the correspondence problem by employing the phase response via multichannel Gabor filters as matching primitive. Our stereo algorithm is biologically motivated and based on a multiscale, coarse-to-fine strategy. This approach produces a dense disparity map without complex feature extraction and interpolation. Results of the algorithm for both synthetic and natural stereo images are presented