20 May 2009 3-D reconstruction based on binocular stereo vision
Author Affiliations +
Abstract
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
5 PAGES


SHARE
RELATED CONTENT

High-speed, high-accuracy large range 3D measurement
Proceedings of SPIE (April 30 2017)
High-performance camera calibration algorithm
Proceedings of SPIE (October 21 1993)
Level-set approach for stereo
Proceedings of SPIE (February 18 1997)

Back to Top