Stereo Matching with Cost Combination and Disparity Refinement | Zendy

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Stereo 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 , histogram , correctness , artificial intelligence , measure (data warehouse) , filter (signal processing) , computer vision , 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.

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