By Topic

A 3D Reconstruction Method Based on Images Dense Stereo Matching

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jiang Ze-tao ; Sch. of Comput., Nanchang Hangkong Univ., Nanchang, China ; Zheng Bi-na ; Wu Min ; Chen Zhong-xiang

A new 3D reconstruction method based on image dense stereo matching is proposed in this paper. Firstly, the feature-points of stereo images must be extracted by SIFT algorithm and they are matched through similarity constraints. The second step is to select seed points which determine the performance of the algorithm and then we can do dense matching with these seed points. Afterward, the false matches can be eliminated by Symmetrical epipolar distance algorithm and the 3D points coordinates can be calculated in virtue of camera matrix. Finally, the 3D model can be established by Delauny triangulation and texture mapping. Experimental results show that the new method based on dense stereo matching can optimize existing 3D reconstruction method. Moreover, the efficiency and accuracy of the method are both better than those traditional methods based on dense matching.

Published in:

Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on

Date of Conference:

14-17 Oct. 2009