Open AccessStereo Matching with Cost Combination and Disparity Refinement
Author(s) -
Deepa*
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8602.019320
Subject(s) - matching (statistics) , computation , computer science , correctness , artificial intelligence , histogram , measure (data warehouse) , computer vision , filter (signal processing) , computer stereo vision , stereopsis , algorithm , pattern recognition (psychology) , mathematics , image (mathematics) , data mining , statistics
This paper presents an approach that use combined cost method and disparity refinement for stereo matching. Here disparity is obtained using the intensity, gradient, histogram of gradients for cost computation. Later disparity refinement is performed using Weiner filter. The correctness of matching is enhanced in the proposed method. The combined use of cost measure ensures the effective evaluation. The proposed approach produces good quality disparity map.