Multi-View Matching Tensors from Lines for General Camera Models
| Autor: | Simone Gasparini, Peter Sturm |
|---|---|
| Přispěvatelé: | Interpretation and Modelling of Images and Videos (PERCEPTION), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Santiago Aja-Fernandez and Rodrigo de Luis Garcia and Dacheng Tao and Xuelong Li |
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
Matching (graph theory)
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion (geometry) 050801 communication & media studies 02 engineering and technology 0508 media and communications Projection (mathematics) Camera auto-calibration Motion estimation 0202 electrical engineering electronic engineering information engineering Computer vision Mathematics ComputingMethodologies_COMPUTERGRAPHICS Pixel business.industry 05 social sciences Astrophysics::Instrumentation and Methods for Astrophysics [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] 020207 software engineering Computational geometry Computer Science::Computer Vision and Pattern Recognition Line (geometry) 020201 artificial intelligence & image processing Artificial intelligence business Camera resectioning |
| Zdroj: | Workshop on Tensors in Image Processing and Computer Vision Workshop on Tensors in Image Processing and Computer Vision, Jun 2008, Anchorage, United States. pp.1-6, ⟨10.1109/CVPRW.2008.4562969⟩ Tensors in Image Processing and Computer Vision Santiago Aja-Fernandez and Rodrigo de Luis Garcia and Dacheng Tao and Xuelong Li. Tensors in Image Processing and Computer Vision, 33, Springer, pp.197-214, 2009, Advances in Pattern Recognition, ⟨10.1007/978-1-84882-299-3_9⟩ Tensors in Image Processing and Computer Vision ISBN: 9781848822986 CVPR Workshops |
| DOI: | 10.1109/CVPRW.2008.4562969⟩ |
| Popis: | International audience; General camera models relax the constraint on central projection and characterize cameras as mappings between each pixel and the corresponding projection rays. This allows to describe most cameras types, including classical pinhole cameras, cameras with various optical distortions, catadioptric cameras and other acquisition devices. We deal with the structure from motion problem for such general models. We first consider an hierarchy of general cameras first introduced in [28] where the cameras are described according to the number of points and lines that have a non-empty intersection with all the projection rays. Then we propose a study of the multi-view geometry of such cameras and a new formulation of multi-view matching tensors working for projection rays crossing the same 3D line, the counterpart of the fundamental matrices and the multifocal tensors of the standard perspective cameras. We also delineate a method to estimate such tensors and recover the motion between the views. |
| Databáze: | OpenAIRE |
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