3D Reconstruction and Metrology from Uncalibrated Image Sequences

Chengke Wu 1 Zezhi Chen 1 Peter Sturm 2
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this paper we address the problem of the recovery of a realistic textured model from an image sequence without any prior knowledge either about the parameters of the cameras, or about their motion. Firstly, using various computer vision tools, we establish correspondences between the image pairs and estimate the fundamental matrix. Secondly, using epipolar geometry constraints, we can obtain the rectified image pairs by a novel rectification method, where the epipolar lines coincide with the image scan-lines. Furthermore, we can make dense stereo matching for original image pairs rapidly and simply. Thirdly, in self-calibration, the prior knowledge of orthogonal wall planes and the orthogonal and parallels line is formulated as constraints on the absolute quadric. Finally, the 3D Euclidean models can be built through self-calibration and matching Delaunay triangulation. A large number of experimental results show that this method increases the speed and accuracy of the reconstructed 3D model and the obtained 3D models are more realistic. Keywords 3D reconstruction, epipolar constraint, self-calibration, rectification, dense matching.
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Communication dans un congrès
Sino-French PRA (Programme de Recherches Avancées) workshop on Information Science and Technology, Nov 2002, Beijing, China. 2002
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Chengke Wu, Zezhi Chen, Peter Sturm. 3D Reconstruction and Metrology from Uncalibrated Image Sequences. Sino-French PRA (Programme de Recherches Avancées) workshop on Information Science and Technology, Nov 2002, Beijing, China. 2002. 〈inria-00525645〉

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