Bayes grid statistics for fast feature matching and convergence

Aiming at the problem of long computing time in image feature matching process and convergence. This paper proposes Bayes Grid Statistics for fast feature matching and convergence. Firstly, the human visual judgment system is established by using Bayes rule. The image is meshed and the probability of Bayes feature matching in the grid is calculated. Matching the correct region statistic is higher. We can through the Bayes Grid Statistics make the convergence of base matrix becomes faster. Finally, a fast and robust real-time solutions can be obtained.