Visual echo analysis

摘要

The term visual echoes is introduced as a common framework for the analysis of multi-frame optical flow, binocular and trinocular stereo, stationary texture and boundary symmetries. The authors examined cepstral filtering, a powerful nonlinear adaptive technique for the retrieval of echoes, as a common methodology to address these visual routines. They consider the application of cepstral analysis to computational vision, review improvements to traditional methods, and provide a comparison with other routines presently used. A general multievidential correlation approach is introduced which lends itself to several computational techniques. CepsCorr, it is called, is a simple general technique that can accept different matching routines as its measurement kernel. The evidence provided by each iteration of cepsCorr can then be combined to provide a more accurate estimate of motion or binocular disparity.