The Community for Technology Leaders
2007 IEEE International Conf. on Application-specific Systems, Architectures and Processors (ASAP) (2007)
Montreal, QC, Canada
July 9, 2007 to July 11, 2007
ISBN: 978-1-4244-1026-2
pp: 203-207
Qiang He , The Center for Advanced Computer Studies, The University of Louisiana at Lafayette, USA
Chee-Hung Henry Chu , The Center for Advanced Computer Studies, The University of Louisiana at Lafayette, USA
ABSTRACT
Detecting vanishing points in digital images is important for 3D reconstruction of a scene using uncalibrated cameras. We present a new vanishing point detection algorithm based on the normalized unit sphere that not only bounds the search space but treats the finite vanishing points and the vanishing points at infinity in the same manner. The experimental results using synthetic and real data demonstrate the efficacy and performance of this algorithm.
INDEX TERMS
CITATION

Qiang He and Chee-Hung Henry Chu, "An efficient vanishing point detection by clustering on the normalized unit sphere," 2007 IEEE International Conf. on Application-specific Systems, Architectures and Processors (ASAP), Montreal, QC, Canada, 2007, pp. 203-207.
doi:10.1109/ASAP.2007.4429991
96 ms
(Ver 3.3 (11022016))