DocumentCode
3013254
Title
Generalized Thin-Plate SplineWarps
Author
Bartoli, Adrien ; Perriollat, Mathieu ; Chambon, Sylvie
Author_Institution
CNRS, Clermont-Ferrand
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
8
Abstract
Thin-plate spline warps have been shown to be very effective as a parameterized model of the optic flow field between images of various deforming surfaces. Examples include a sheet of paper being manually handled. Recent work has used such warps for images of smooth rigid surfaces. Standard thin-plate spline warps are not rigid, in the sense that they do not satisfy the epipolar geometry constraint, and are intrinsically affine, in the sense of the affine camera model. We propose three types of warps based on the thin-plate spline. The first one is a flexible rigid warp. It describes the optic flow field induced by a smooth rigid surface, and satisfies the affine epipolar geometry constraint. The second and third ones extend the standard thin-plate spline and the proposed rigid flexible warp to the perspective camera model. The properties of these warps are studied in details, and a hierarchy is defined. Experimental results on simulated and real data are reported, showing that the proposed warps outperform the standard one in several cases of interest.
Keywords
computer vision; image sequences; splines (mathematics); computer vision; deforming surfaces; epipolar geometry constraint; flexible rigid warp; generalized thin-plate spline warps; optic flow field; parameterized model; perspective camera model; smooth rigid surface; Cameras; Deformable models; Geometrical optics; Image motion analysis; Layout; Optical sensors; Shape; Solid modeling; Spline; Uninterruptible power systems;
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.2007.382998
Filename
4270023
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