Title
Dissecting The Image Of The Absolute Conic
Abstract
In this paper, we revisit the role of the image of the absolute conic (IAC) in recovering the camera geometry. We derive new constraints on IAC that advance our understanding of its underlying building blocks. The new constraints are shown to be intrinsic to IAC, rather than exploiting the scene geometry or the prior knowledge on the camera. We provide geometric interpretations for these new intrinsic constraints, and show their relations to the invariant properties of the IAC. This in turn provides a better insight into the role that IAC plays in determining the camera internal geometry. Since the new constraints are invariant properties of the IAC, they can be used to reparameterize its elements. We show that such reparameterization would allow to recover a more general camera geometry from a single view, compared to existing methods. We apply the new constraints to single view calibration using vanishing points, investigate the error resilience, and compare our results to Liebowitz-Zisserman (1999). © 2006 IEEE.
Publication Date
12-1-2006
Publication Title
Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/AVSS.2006.42
Copyright Status
Unknown
Socpus ID
34547310456 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34547310456
STARS Citation
Junejo, Imran and Foroosh, Hassan, "Dissecting The Image Of The Absolute Conic" (2006). Scopus Export 2000s. 7704.
https://stars.library.ucf.edu/scopus2000/7704