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The Geometry of Dynamic Scenes - On Coplanar and Convergent Linear Motions Embedded in 3D Static Scenes

Authors :
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)
Modeling, localization, recognition and interpretation in computer vision (MOVI)
Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble (GRAVIR - IMAG)
Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
David Marshall and Paul L. Rosin
BARTOLI, Adrien
Source :
Computer Vision and Image Understanding, Computer Vision and Image Understanding, 2005, 98, pp.223-238, Computer Vision and Image Understanding, Elsevier, 2005, 98, pp.223-238, British Machine Vision Conference, British Machine Vision Conference (BMVC '02), British Machine Vision Conference (BMVC '02), Sep 2002, Cardiff, United Kingdom. pp.393-403, BMVC
Publication Year :
2005
Publisher :
HAL CCSD, 2005.

Abstract

http://www.bmva.org/bmvc/2002/papers/22/full_22.pdf; International audience; In this paper, we consider structure and motion recovery for scenes consisting of static and dynamic features. More particularly, we consider a single moving uncalibrated camera observing a scene consisting of points moving along straight lines converging to a unique point and lying on a motion plane. This scenario may describe a roadway observed by a moving camera whose motion is unknown. We show that there exist matching tensors similar to fundamental matrices. We derive the link between dynamic and static structure and motion and show how the equation of the motion plane (or equivalently the plane homographies it induces between images) may be recovered from dynamic features only. Experimental results on real images are provided, in particular on a 60frames video sequence.

Details

Language :
English
ISSN :
10773142 and 1090235X
Database :
OpenAIRE
Journal :
Computer Vision and Image Understanding, Computer Vision and Image Understanding, 2005, 98, pp.223-238, Computer Vision and Image Understanding, Elsevier, 2005, 98, pp.223-238, British Machine Vision Conference, British Machine Vision Conference (BMVC '02), British Machine Vision Conference (BMVC '02), Sep 2002, Cardiff, United Kingdom. pp.393-403, BMVC
Accession number :
edsair.doi.dedup.....ca8e4e06eb66f8c5d56b51d72f3aa01c