A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching
Joint Authors
Ding, Yongsheng
Hao, Kuangrong
Dou, Yiwen
Mao, Min
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-29
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We propose a novel Mean-Shift-based building approach in wide baseline.
Initially, scale-invariance feature transform (SIFT) approach is used to extract relatively stable feature points.
As to each matching SIFT feature point, it needs a reasonable neighborhood range so as to choose feature points set.
Subsequently, in view of selecting repeatable and high robust feature points, Mean-Shift controls corresponding feature scale.
At last, our approach is employed to depth image acquirement in wide baseline and Graph Cut algorithm optimizes disparity information.
Compared with the existing methods such as SIFT, speeded up robust feature (SURF), and normalized cross-correlation (NCC), the presented approach has the advantages of higher robustness and accuracy rate.
Experimental results on low resolution image and weak feature description in wide baseline confirm the validity of our approach.
American Psychological Association (APA)
Dou, Yiwen& Hao, Kuangrong& Ding, Yongsheng& Mao, Min. 2015. A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073736
Modern Language Association (MLA)
Dou, Yiwen…[et al.]. A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1073736
American Medical Association (AMA)
Dou, Yiwen& Hao, Kuangrong& Ding, Yongsheng& Mao, Min. A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073736