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Accurate 3D reconstruction via surface-consistency

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3 Author(s)
Chenglei Wu ; TNList and Department of Automation, Tsinghua University, Beijing 100084, China ; Xun Cao ; Qionghai Dai

We present an algorithm that fuses Multi-view stereo (MVS) and photometric stereo to reconstruct 3D model of objects filmed by multiple cameras under varying illuminations. Firstly, we obtain the surface normal scaled by albedo for each view through photometric stereo techniques. Then, based on the scaled normal, a new correspondence matching method, namely surface-consistency metric, is proposed to acquire accurate 3D positions of pixels through triangulation. After filtering the point cloud, a Poisson surface reconstruction is applied to obtain a watertight mesh. The algorithm has been implemented based on our multi-camera and multi-light acquisition system. We validate the method by complete reconstruction of challenging real objects and show experimentally that this technique can greatly improve on previous MVS results.

Published in:

2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video

Date of Conference:

4-6 May 2009