Window‐based approach for fast stereo correspondence

Autor: Raj Kumar Gupta, Siu‐Yeung Cho
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: IET Computer Vision, Vol 7, Iss 2, Pp 123-134 (2013)
Druh dokumentu: article
ISSN: 1751-9640
1751-9632
DOI: 10.1049/iet-cvi.2011.0077
Popis: In this study, the authors present a new area‐based stereo matching algorithm that computes dense disparity maps for a real‐time vision system. Although many stereo matching algorithms have been proposed in recent years, correlation‐based algorithms still have an edge because of speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult problem for correlation‐based algorithms. In the proposed approach, two correlation windows are used to improve the performance of the algorithm while maintaining its real‐time suitability. The CPU implementation of the proposed algorithm computes more than 10 frame/s. Unlike other area‐based stereo matching algorithms, this method works very well at disparity boundaries as well as in low textured image areas and computes a dense and sharp disparity map. Evaluations on the benchmark Middlebury stereo datasets have been performed to demonstrate the qualitative and quantitative performance of the proposed algorithm.
Databáze: Directory of Open Access Journals
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