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Proceedings Paper

Stereo matching based on two cameras and one 3D image sensor
Author(s): Lu Yang; Xiaowei Shao; Ryosuke Shibasaki; Rongben Wang
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Paper Abstract

Due to the problems of noise, textureless region and depth discontinuity in stereo matching, a new matching method based on two cameras and one 3D image sensor is proposed in this paper. Though the 3D image sensor can offer a depth map, it has low resolution and much noise. Therefore, it can not be used to 3D reconstruction. However, combining two cameras with one 3D image sensor and regarding the depth map as an initial sparse disparity map is an advantage method in stereo vision matching. This method can largely improve the matching accuracy and decrease the running time. Finally, a dense disparity map can be obtained. The experiment results indicate that the proposed algorithm performs well and the disparity map has more accuracy comparing with existing methods.

Paper Details

Date Published: 24 January 2011
PDF: 10 pages
Proc. SPIE 7878, Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 787805 (24 January 2011); doi: 10.1117/12.872491
Show Author Affiliations
Lu Yang, The Univ. of Tokyo (Japan)
Jilin Univ. (China)
Xiaowei Shao, The Univ. of Tokyo (Japan)
Ryosuke Shibasaki, The Univ. of Tokyo (Japan)
Rongben Wang, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 7878:
Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques
Juha Röning; David P. Casasent; Ernest L. Hall, Editor(s)

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