Matching Cost Filtering for Dense Stereo Correspondence
Joint Authors
Yao, Yanbin
Lin, Yimin
Lu, Naiguang
Zou, Fang
Du, Zhaocai
Lou, Xiaoping
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Dense stereo correspondence enabling reconstruction of depth information in a scene is of great importance in the field of computer vision.
Recently, some local solutions based on matching cost filtering with an edge-preserving filter have been proved to be capable of achieving more accuracy than global approaches.
Unfortunately, the computational complexity of these algorithms is quadratically related to the window size used to aggregate the matching costs.
The recent trend has been to pursue higher accuracy with greater efficiency in execution.
Therefore, this paper proposes a new cost-aggregation module to compute the matching responses for all the image pixels at a set of sampling points generated by a hierarchical clustering algorithm.
The complexity of this implementation is linear both in the number of image pixels and the number of clusters.
Experimental results demonstrate that the proposed algorithm outperforms state-of-the-art local methods in terms of both accuracy and speed.
Moreover, performance tests indicate that parameters such as the height of the hierarchical binary tree and the spatial and range standard deviations have a significant influence on time consumption and the accuracy of disparity maps.
American Psychological Association (APA)
Lin, Yimin& Lu, Naiguang& Lou, Xiaoping& Zou, Fang& Yao, Yanbin& Du, Zhaocai. 2013. Matching Cost Filtering for Dense Stereo Correspondence. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010248
Modern Language Association (MLA)
Lin, Yimin…[et al.]. Matching Cost Filtering for Dense Stereo Correspondence. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1010248
American Medical Association (AMA)
Lin, Yimin& Lu, Naiguang& Lou, Xiaoping& Zou, Fang& Yao, Yanbin& Du, Zhaocai. Matching Cost Filtering for Dense Stereo Correspondence. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010248
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010248