20 May 2009 3-D reconstruction based on binocular stereo vision
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Stereo Vision based 3-D reconstruction is the focus of computer vision research. The essence for 3-D reconstruction is to use disparity information, which recovers the depth information from 2-D images. This paper mainly discusses 3-D reconstruction based on binocular stereo vision. Single camera could acquire images from different perspectives. The intrinsic and extrinsic parameters are calculated accurately using calibration template. On the basis of those parameters, calibration, matching and 3-D reconstruction is realized in the sense of Euclidean geometry.
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Feng Wang, Feng Wang, Shuguang Dai, Shuguang Dai, "3-D reconstruction based on binocular stereo vision", Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72833I (20 May 2009); doi: 10.1117/12.828776; https://doi.org/10.1117/12.828776


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