TY - GEN
T1 - Creating stereoscopic (3D) video from a 2D monocular video stream
AU - Li, Xiaokun
AU - Xu, Roger
AU - Zhou, Jin
AU - Li, Baoxin
PY - 2007
Y1 - 2007
N2 - It is a challenge to generate stereoscopic (3D) video through a single moving camera under widely varying conditions. We propose an efficient approach to create true stereoscopic video from a monocular video stream captured under various moving conditions. The approach contains three major steps. First, we apply Harris' corner detector to detect distinctive feature points from a pair of image frames selected from the incoming video captured by a moving camera. Second, according to the consecutive property of the video, a local-window search based algorithm is developed for fast and accurate feature correspondence between the two image frames. Third, a hierarchical image rectification technique is designed to guarantee the success in creating a true and visually-comfortable stereo image for each incoming image frame. Besides, a software-based video stabilization algorithm is also developed for improved stereo video generation performance. Extensive tests using real video collected under various situations were performed for performance evaluation of the proposed approach.
AB - It is a challenge to generate stereoscopic (3D) video through a single moving camera under widely varying conditions. We propose an efficient approach to create true stereoscopic video from a monocular video stream captured under various moving conditions. The approach contains three major steps. First, we apply Harris' corner detector to detect distinctive feature points from a pair of image frames selected from the incoming video captured by a moving camera. Second, according to the consecutive property of the video, a local-window search based algorithm is developed for fast and accurate feature correspondence between the two image frames. Third, a hierarchical image rectification technique is designed to guarantee the success in creating a true and visually-comfortable stereo image for each incoming image frame. Besides, a software-based video stabilization algorithm is also developed for improved stereo video generation performance. Extensive tests using real video collected under various situations were performed for performance evaluation of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=38149032513&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-76858-6_26
DO - 10.1007/978-3-540-76858-6_26
M3 - Conference contribution
AN - SCOPUS:38149032513
SN - 9783540768579
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 258
EP - 267
BT - Advances in Visual Computing - Third International Symposium, ISVC 2007, Proceedings
PB - Springer Verlag
T2 - 3rd International Symposium on Visual Computing, ISVC 2007
Y2 - 26 November 2007 through 28 November 2007
ER -