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A Nonlocal Method with Modified Initial Cost and Multiple Weight for Stereo Matching
Joint Authors
Gao, Shenyong
Zhang, Hua
Ge, Haohao
Zhang, Ying
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents a new nonlocal cost aggregation method for stereo matching.
The minimum spanning tree (MST) employs color difference as the sole component to build the weight function, which often leads to failure in achieving satisfactory results in some boundary regions with similar color distributions.
In this paper, a modified initial cost is used.
The erroneous pixels are often caused by two pixels from object and background, which have similar color distribution.
And then inner color correlation is employed as a new component of the weight function, which is determined to effectively eliminate them.
Besides, the segmentation method of the tree structure is also improved.
Thus, a more robust and reasonable tree structure is developed.
The proposed method was tested on Middlebury datasets.
As can be expected, experimental results show that the proposed method outperforms the classical nonlocal methods.
American Psychological Association (APA)
Gao, Shenyong& Ge, Haohao& Zhang, Hua& Zhang, Ying. 2017. A Nonlocal Method with Modified Initial Cost and Multiple Weight for Stereo Matching. Journal of Sensors،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1187664
Modern Language Association (MLA)
Gao, Shenyong…[et al.]. A Nonlocal Method with Modified Initial Cost and Multiple Weight for Stereo Matching. Journal of Sensors No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1187664
American Medical Association (AMA)
Gao, Shenyong& Ge, Haohao& Zhang, Hua& Zhang, Ying. A Nonlocal Method with Modified Initial Cost and Multiple Weight for Stereo Matching. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1187664
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187664