Self-Calibrated Reconstruction Of Partially Viewed Symmetric Objects
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.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Number of Pages
Article; Proceedings Paper
Source API URL
Foroosh, Hassan; Balci, Murat; and Cao, Xiaochun, "Self-Calibrated Reconstruction Of Partially Viewed Symmetric Objects" (2005). Scopus Export 2000s. 3335.