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On Calibration, Structure from Motion and Multi-View Geometry for Generic Camera Models

Peter Sturm 1 Srikumar Ramalingam 2 Suresh K. Lodha 2
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We consider calibration and structure from motion tasks for a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of projection rays. This allows to describe most existing camera types (at least for those operating in the visible domain), including pinhole cameras, sensors with radial or more general distortions, catadioptric cameras (central or non-central), etc. Generic algorithms for calibration and structure from motion tasks (pose and motion estimation and 3D point triangulation) are outlined. The foundation for a multi-view geometry of non-central cameras is given, leading to the formulation of multi-view matching tensors, analogous to the fundamental matrices, trifocal and quadrifocal tensors of perspective cameras. Besides this, we also introduce a natural hierarchy of camera models: the most general model has unconstrained projection rays whereas the most constrained model dealt with here is the central model, where all rays pass through a single point.
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Peter Sturm, Srikumar Ramalingam, Suresh K. Lodha. On Calibration, Structure from Motion and Multi-View Geometry for Generic Camera Models. Kostas Daniilidis and Reinhard Klette. Imaging Beyond the Pinhole Camera, 33, Springer, pp.87-105, 2006, Computational Imaging and Vision, 978-1-4020-4893-7. ⟨10.1007/978-1-4020-4894-4_5⟩. ⟨inria-00387129⟩



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