By Topic

Large Scale Scenes Reconstruction from Multiple Views

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)
Shi Limin ; Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China ; Zhang Feng ; Xu Zhenhui ; Hu Zhanyi

In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by matching key points across images. Then it builds a tetrahedral decomposition of space by computing the 3D Delaunay triangulation of the 3D point set. Finally, a triangular mesh of the scene is extracted by labeling Delaunay tetrahedra as inside or outside. A globally optimal label assignment is efficiently found as a minimum cut solution in a graph. Experimental results demonstrate the effectiveness of the proposed algorithm.

Published in:

Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on  (Volume:2 )

Date of Conference:

20-22 Dec. 2008