A robust method for recovering geometric proxy from multiple panoramic images
Publication Type
Conference Proceeding Article
Publication Date
10-2004
Abstract
The use of multiple panoramic images for walkthrough applications is attracting more attention in recent years. The geometric proxy, which can be recovered from wide-baseline images can be used to reduce the sampling rate. However correspondence matching across widely separated panoramic images requires searching a large disparity range, which can significantly increase the number of false matches. In addition, 3D point estimation along the antipodal direction of panoramic images is unreliable due to small vergence angle. Moreover, existing methods only recover 3D points, which do not provide information about object continuity in the scene. In this paper, we propose a robust method for recovering geometric proxy of a scene from multiple wide-baseline panoramic images. Correspondences are matched under the epipolar constraint. A robust algorithm is developed to remove false matches and estimate a set of reliable sparse 3D points. We further recover information about object continuity with topology and pattern similarity checking.
Discipline
Computer Sciences | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of 2004 International Conference on Image Processing, ICIP '04, Singapore October 24-27
Volume
5
First Page
1369
Last Page
1372
ISBN
1522-4880
Identifier
10.1109/ICIP.2004.1419756
Publisher
IEEE
City or Country
Singapore
Citation
WAN, Ada S. K.; SIU, Angus M. K.; LAU, Rynson W. H.; and NGO, Chong-wah.
A robust method for recovering geometric proxy from multiple panoramic images. (2004). Proceedings of 2004 International Conference on Image Processing, ICIP '04, Singapore October 24-27. 5, 1369-1372.
Available at: https://ink.library.smu.edu.sg/sis_research/6686