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Generalized Thin-Plate Spline Warps

Authors :
Mathieu Perriollat
S. Chambon
Adrien Bartoli
Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA)
Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Traitement et Communication de l'Information (LTCI)
Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
Visual Objects from Reality To Expression (IRIT-VORTEX)
Institut de recherche en informatique de Toulouse (IRIT)
Université Toulouse Capitole (UT Capitole)
Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J)
Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI)
Université Toulouse - Jean Jaurès (UT2J)
Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole)
Université de Toulouse (UT)
Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées
Source :
2007 IEEE Conference on Computer Vision and Pattern Recognition ; ISBN: 1-4244-1179-3, International Conference on Computer Vision and Pattern Recognition (CVPR 2007), International Conference on Computer Vision and Pattern Recognition (CVPR 2007), Jun 2007, Minneapolis, United States. ⟨10.1109/CVPR.2007.382998⟩, CVPR'07-Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Minneapolis, USA, International Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2007, Minneapolis, United States, CVPR
Publication Year :
2007
Publisher :
HAL CCSD, 2007.

Abstract

International audience; 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.

Details

Language :
English
ISBN :
978-1-4244-1179-5
1-4244-1179-3
ISBNs :
9781424411795 and 1424411793
Database :
OpenAIRE
Journal :
2007 IEEE Conference on Computer Vision and Pattern Recognition ; ISBN: 1-4244-1179-3, International Conference on Computer Vision and Pattern Recognition (CVPR 2007), International Conference on Computer Vision and Pattern Recognition (CVPR 2007), Jun 2007, Minneapolis, United States. ⟨10.1109/CVPR.2007.382998⟩, CVPR'07-Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Minneapolis, USA, International Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2007, Minneapolis, United States, CVPR
Accession number :
edsair.doi.dedup.....99aef17199c9bab8bfddfbbc27e85345