Paper
6 August 2009 A rapid 3D shape reconstruction method from silhouette images
Shuai Liu, Gang Han, Lingli Zhao
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuai Liu, Gang Han, and Lingli Zhao "A rapid 3D shape reconstruction method from silhouette images", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73840R (6 August 2009); https://doi.org/10.1117/12.834977
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D image processing

Cameras

Calibration

3D image reconstruction

Photogrammetry

3D vision

Computer vision technology

Back to Top