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Title: Visible surface reconstruction from normals with discontinuity consideration
Authors: Wu, Tai-Pang
Tang, Chi-Keung
Keywords: Photometry
Imperfect normals
Optimization algorithm
Expectation-maximization (EM)
Surface reconstruction
Issue Date: Jun-2006
Citation: Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 17-22 June 2006, New York, USA, Part vol. 2, p. 1793-1800
Abstract: Given a dense set of imperfect normals obtained by photometric stereo or shape from shading, this paper presents an optimization algorithm which alternately optimizes until convergence the surface integrabilities and discontinuities inherent in the normal field, in order to derive a segmented surface description of the visible scene without noticeable distortion. In our Expectation-Maximization (EM) framework, we enforce discontinuity-preserving integrability so that fine details are preserved within each output segment while the occlusion boundaries are localized as sharp surface discontinuities. Using the resulting weighted discontinuity map, the estimation of a discontinuity-preserving height field can be formulated into a convex optimization problem. We compare our method and present convincing results on synthetic and real data.
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