Construction of 3D Views from Stereoscopic Triplets of Images
Identifieur interne : 00CB98 ( Main/Exploration ); précédent : 00CB97; suivant : 00CB99Construction of 3D Views from Stereoscopic Triplets of Images
Auteurs : D. Gemmerlé ; A. Filbois ; H. ChabbiSource :
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Abstract
We present an approach to construct 3D facets using trinocular stereovision and characterize them by a set of reliable attributs. A facet of polyedric objet is supposed to be projeted on the image plane as an homogeneous region surrounding by a chain of 2D segments. These ordered chains, called \emph{2D facets}, are extracted from each image of a stereoscopic triplet using a cooperation between single contour map and a serie of region maps. These maps are automatically generated according to a coarse-to-fine approach, in order to make the most contrasted regions first appear. 3D facets are then reconstructed by a technique based on a cooperation of 2D information (2D facets and 2D segments) and 3D information (3D segments provided by a stereovision algorithm). The difficult point is the ordering of the 3D segments constituting the sides of a 3D facet, and is solved by an original algorithm which uses the ordering of three matched 2D facets. Each 3D facet is characterized by a set of intrinsic and extrinsic parameters in order to be efficiently used during the 3D reconstruction of the object to be modelled. As an example, we explain the estimation of the surface of a facet.
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Le document en format XML
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<front><div type="abstract" xml:lang="en" wicri:score="3607">We present an approach to construct 3D facets using trinocular stereovision and characterize them by a set of reliable attributs. A facet of polyedric objet is supposed to be projeted on the image plane as an homogeneous region surrounding by a chain of 2D segments. These ordered chains, called \emph{2D facets}, are extracted from each image of a stereoscopic triplet using a cooperation between single contour map and a serie of region maps. These maps are automatically generated according to a coarse-to-fine approach, in order to make the most contrasted regions first appear. 3D facets are then reconstructed by a technique based on a cooperation of 2D information (2D facets and 2D segments) and 3D information (3D segments provided by a stereovision algorithm). The difficult point is the ordering of the 3D segments constituting the sides of a 3D facet, and is solved by an original algorithm which uses the ordering of three matched 2D facets. Each 3D facet is characterized by a set of intrinsic and extrinsic parameters in order to be efficiently used during the 3D reconstruction of the object to be modelled. As an example, we explain the estimation of the surface of a facet.</div>
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