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A Generic Concept for Camera Calibration

Peter Sturm 1 Srikumar Ramalingam 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 present a theory and algorithms for a generic calibration concept that is based on the following recently introduced general imaging model. An image is considered as a collection of pixels, and each pixel measures the light travelling along a (half-) ray in 3-space associated with that pixel. Calibration is the determination, in some common coordinate system, of the coordinates of all pixels' rays. This model encompasses most projection models used in computer vision or photogrammetry, including perspective and affine models, optical distortion models, stereo systems, or catadioptric systems - central (single viewpoint) as well as non-central ones. We propose a concept for calibrating this general imaging model, based on several views of objects with known structure, but which are acquired from unknown viewpoints. It allows in principle to calibrate cameras of any of the types contained in the general imaging model using one and the same algorithm. We first develop the theory and an algorithm for the most general case: a non-central camera that observes 3D calibration objects. This is then specialized to the case of central cameras and to the use of planar calibration objects. The validity of the concept is shown by experiments with synthetic and real data.
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Submitted on : Wednesday, May 25, 2011 - 2:37:26 PM
Last modification on : Tuesday, November 29, 2022 - 12:00:08 PM
Long-term archiving on: : Friday, August 26, 2011 - 2:21:49 AM


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Peter Sturm, Srikumar Ramalingam. A Generic Concept for Camera Calibration. 8th European Conference on Computer Vision (ECCV '04), May 2004, Prague, Czech Republic. pp.1-13, ⟨10.1007/978-3-540-24671-8_1⟩. ⟨inria-00524411⟩



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