DocumentCode
3017450
Title
Deformable Surface Tracking Ambiguities
Author
Salzmann, Mathieu ; Lepetit, Vincent ; Fua, Pascal
Author_Institution
Comput. Vision Lab., Lausanne
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
8
Abstract
We study from a theoretical standpoint the ambiguities that occur when tracking a generic deformable surface under monocular perspective projection given 3D to 2D correspondences. We show that, additionally to the known scale ambiguity, a set of potential ambiguities can be clearly identified. From this, we deduce a minimal set of constraints required to disambiguate the problem and incorporate them into a working algorithm that runs on real noisy data.
Keywords
image denoising; image texture; set theory; 2D correspondences; 3D correspondences; minimal constraints set; monocular perspective projection; scale ambiguity; surface deformation; surface tracking ambiguities; Computer vision; Deformable models; Image reconstruction; Linear systems; Machine learning; Plastics; Shape; Surface reconstruction; Surface texture; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2007.383238
Filename
4270263
Link To Document