Comparative Study between Rectangular Windows and Circular Windows Based Disparity-Map by Stereo Matching

Mr. Atul Kumar Verma, Mr. Jay Kant Pratap Singh, Mr. Veer Pratap

Disparity map, Stereo correspondence, Stereo Vision.

Stereo matching is the basic problem to achieve human like vision capability to machines and robots. Stereo vision researches produced many local and global algorithms for stereo correspondence matching. There are two popular methods one is rectangular window-based cost aggregation another is circular window-based cost aggregation used for solving correspondence problem have attracted researches as it can be implemented in real time using parallel processors. In this paper we have done comparative study between rectangular windows and circular windows based disparity map by stereo matching. Motivated by human stereo vision, the technique uses to enhance the strategy of finding the best match to compute dense disparity map. Performance of the both method is efficient.

10.22161/ijaers.3.8.12