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Proceedings Paper

A rapid 3D shape reconstruction method from silhouette images
Author(s): Shuai Liu; Gang Han; Lingli Zhao
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Paper Abstract

Three dimensional (3D) shape lies an unresolved and active research topic on the cross-section of computer vision and digital photogrammetry. In this paper, we focus on 3D object shape reconstruction from uncalibrated images and put forward a hybrid method. The recovering 3D shape comprises two steps, firstly, calculate homography transformation to obtain the outlines, secondly, calculate the reconstructed object height by vanishing point and vanishing line from reference height. This hybrid method requires no camera calibration or the estimation of the fundamental matrix; hence, it reduces the computational complexity by eliminating the requirement for abundant conjugate points. The experiment shows that the method is much validated and something useful is obtained.

Paper Details

Date Published: 6 August 2009
PDF: 7 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73840R (6 August 2009); doi: 10.1117/12.834977
Show Author Affiliations
Shuai Liu, Central South Univ. (China)
National Geomatics Ctr. of China (China)
Gang Han, National Geomatics Ctr. of China (China)
Lingli Zhao, Central South Univ. (China)
Honghe Univ. (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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