Face Reconstruction with structured light
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2011-03
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SciTePress
Resumen
This article presents a methodology for reconstruction of 3D faces which is based on stereoscopic images of the scene using active and passive surface reconstruction -- A sequence of gray patterns is generated, which are projected onto the scene and their projection recorded by a pair of stereo cameras -- The images are rectified to make coincident their epipolar planes and so to generate a stereo map of the scene -- An algorithm for stereo matching is applied, whose result is a bijective mapping between subsets of the pixels of the images -- A particular connected subset of the images (e.g. the face) is selected by a segmentation algorithm -- The stereo mapping is applied to such a subset and enables the triangulation of the two image readings therefore rendering the (x;y; z) points of the face, which in turn allow the reconstruction of the triangular mesh of the face -- Since the surface might have holes, bilateral filters are applied to have the holes filled -- The algorithms are tested in real conditions and we evaluate their performance with virtual datasets -- Our results show a good reconstruction of the faces and an improvement of the results of passive systems
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@conference{visapp11_face_reconstruction,
author={John Congote and Iñigo Barandiaran and Javier Barandiaran and Marcos Nieto and Oscar Ruiz},
title={FACE RECONSTRUCTION WITH STRUCTURED LIGHT},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011)},
year={2011},
keys ={3D Reconstruction, Structured light, Gray codes, Depthmap},
pages={149-155},
doi={10.5220/0003371401490155},
isbn={978-989-8425-47-8},
}