A closed-form solution of reconstruction from nonparallel stereo geometry used in image guided system for surgery

Authors:
Jianhua Wang;Yuncai Liu
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China
Venue:
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Year:
2007

Citing 6
Cited 1

Machine vision

Machine vision
Computational Stereo

ACM Computing Surveys (CSUR)
Multiple view geometry in computer visiond

Multiple view geometry in computer visiond
Computer Vision: A Modern Approach

Computer Vision: A Modern Approach
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

International Journal of Computer Vision
Advances in Computational Stereo

IEEE Transactions on Pattern Analysis and Machine Intelligence

Identification of scene locations from geotagged images

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a closed-form solution of 3D reconstruction from nonparallel stereo geometry is derived theoretically. From a pair of conjugate image points in an arbitrarily configured stereo system that has been calibrated, one can directly reconstruct the 3D scene point using the closed-form solution, bypassing the process of rectifying the images or iteratively optimizing. Experiment results from both simulated data and real images validate the closedform solution. Practical application to Image Guided System for surgery shows that the closed-form solution has advantages to improve efficiency and accuracy of 3D reconstruction from nonparallel stereo system in comparison with the conventional method that employs algorithm for the standard parallel axis stereo geometry.