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Toward Automatic 3D Modeling of Scenes using a Generic Camera Model

Abstract : The automatic reconstruction of 3D models from image sequences is still a very active field of research. All existing methods are designed for a given camera model, and a new (and ambitious) challenge is 3D modeling with a method which is exploitable for any kind of camera. A similar approach was recently suggested for structure-from-motion thanks to the use of generic camera models. In this paper, we first introduce geometric tools designed for 3D scene modeling with a generic camera model. Then, these tools are used to solve many issues: matching errors, wide range of point depths, depth discontinuities, and viewpoint selection for reconstruction. Experiments are provided for perspective and catadioptric cameras.
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Contributor : Maxime Lhuillier <>
Submitted on : Wednesday, November 15, 2017 - 3:10:04 PM
Last modification on : Wednesday, February 24, 2021 - 4:16:02 PM
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  • HAL Id : hal-01635669, version 1


Maxime Lhuillier. Toward Automatic 3D Modeling of Scenes using a Generic Camera Model. IEEE Conference on Computer Vision and Pattern Recognition, Jun 2008, Anchorage, United States. ⟨hal-01635669⟩



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