Multiview normal field integration using level set methods

In this paper, we propose a new method to integrate multiview normal fields using level sets. In contrast with conventional normal integration algorithms used in shape from shading and photometric stereo that reconstruct a 2.5D surface using a single-view normal field, our algorithm can combine multiview normal fields simultaneously and recover the full 3D shape of a target object. We formulate this multiview normal integration problem by an energy minimization framework and find an optimal solution in a least square sense using a variational technique. A level set method is applied to solve the resultant geometric PDE that minimizes the proposed error functional. It is shown that the resultant flow is composed of the well known mean curvature and flux maximizing flows. In particular, we apply the proposed algorithm to the problem of 3D shape modelling in a multiview photometric stereo setting. Experimental results for various synthetic data show the validity of our approach.

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee
• Keywords: Computer Vision, Conventional Normal Integration, CVPR 2007, Multiview Normal Fields, Multiview Normal Integration, Multiview Photometric Stereo, Single-view Normal Field