Stereo matching based on two cameras and one 3D image sensor

Lu Yang; Xiaowei Shao; Ryosuke Shibasaki; Rongben Wang

doi:10.1117/12.872491

24 January 2011 Stereo matching based on two cameras and one 3D image sensor

Lu Yang, Xiaowei Shao, Ryosuke Shibasaki, Rongben Wang

Proceedings Volume 7878, Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques; 787805 (2011) https://doi.org/10.1117/12.872491
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Lu Yang, Xiaowei Shao, Ryosuke Shibasaki, and Rongben Wang "Stereo matching based on two cameras and one 3D image sensor", Proc. SPIE 7878, Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 787805 (24 January 2011); https://doi.org/10.1117/12.872491

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