Projective Alignment of Range and Parallax Data

Miles Hansard 1 Radu Horaud 1 Michel Amat 1 Seungkyu Lee 2
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : An approximately Euclidean representation of the visible scene can be obtained directly from a range, or 'time-of-flight', camera. An uncalibrated binocular system, in contrast, gives only a projective reconstruction of the scene. This paper analyzes the geometric mapping between the two representations, without requiring an intermediate calibration of the binocular system. The mapping can be found by either of two new methods, one of which requires point-correspondences between the range and colour cameras, and one of which does not. It is shown that these methods can be used to reproject the range data into the binocular images, which makes it possible to associate high-resolution colour and texture with each point in the Euclidean representation.
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Communication dans un congrès
CVPR'11 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2011, Providence, RI, United States. IEEE Computer Society Press, pp.3089-3096, 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 〈10.1109/CVPR.2011.5995533〉
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Soumis le : mercredi 15 juin 2011 - 14:54:46
Dernière modification le : jeudi 11 janvier 2018 - 06:22:00
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Miles Hansard, Radu Horaud, Michel Amat, Seungkyu Lee. Projective Alignment of Range and Parallax Data. CVPR'11 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2011, Providence, RI, United States. IEEE Computer Society Press, pp.3089-3096, 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 〈10.1109/CVPR.2011.5995533〉. 〈inria-00590277〉

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