Title

Self-Calibrated Reconstruction Of Partially Viewed Symmetric Objects

Abstract

The traditional stereo reconstrction techniques based on point correspondences and the estimation of the cameras from the fundamental matrix introduce a four-fold ambiguity. Moreover, there is a projective ambiguity inherent in the fundamental matrix. We show that a symmetric object can be modeled even under partial occlusion with a pair of uncalibrated stereo images. This implies that unlike traditional stereo algorithms, we can extract 3D information from two arbitrary viewpoints, even when there is no left-to-right point correspondences. To demonstrate the effectiveness of the method, we present experimental results on both synthetic and real images. © 2005 IEEE.

Publication Date

12-1-2005

Publication Title

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volume

II

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICASSP.2005.1415543

Socpus ID

33646766132 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33646766132

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