Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Fusiello, A., Trucco, E., Verri, A.: A compact algorithm for rectification of stereo pairs. Journal of Machine Vision and Applications 12, 16–22 (2000)
Loop, C., Zhang, Z.: Computing rectifying homographies for stero vision. In: CVPR, pp. 125–131 (1999)
Hartley, R., Zisserman, A.: Multiple view geometry in computer vision, 2nd edn. Cambridge University, Cambridge (2003)
Hartley, R.: Theory and practice of projective rectification. IJCV 35(2), 1–16 (1999)
Zhou, J., Li, B.: Image Rectification for Stereoscopic Visualization without 3D Glasses. In: Proc. Int. Conf. on Image & Video Retrieval (July 2006)
Li, X., Kwan, C., Li, B.: A generic approach on object matching and tracking. In: Campilho, A., Kamel, M. (eds.) ICIAR 2006. LNCS, vol. 4141, Springer, Heidelberg (2006)
Li, X., Kwan, C., Li, B.: Stereo imaging with uncalibrated camera. In: ISVC 2006 (2006)
Harris, C., Stephens, M.J.: A combined corner and edge detector. In: Alvey vision conference (1988)
Fischler, M.A., Bolles, R.C.: Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Comm. of the ACM 24, 381–395 (1981)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, X., Xu, R., Zhou, J., Li, B. (2007). Creating Stereoscopic (3D) Video from a 2D Monocular Video Stream. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-76858-6_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
eBook Packages: Computer ScienceComputer Science (R0)