一种改进的三维人脸重构方法

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Abstract An improved 3D face reconstruction method as well as a binocular stereo vision system based on single camera is proposed. Under the assumption that face is symmetrical, the point cloud is optimized automatically by correction and holes filling. Then, a simplified Candide-3 model is used as initial subdivision controlling mesh, locally refined and levelly fitted. Meanwhile, geodesic mapping technique is applied to normalize different expressions and face databases are built respectively. Experimental results show that the proposed stereo vision system improves the reconstruction accuracy and avoids robust decreasing caused by non synchronous shooting of two cameras. Furthermore, subdivision surfaces used as storage saves space and provides theoretical support for comparison. Considering its low cost, the proposed system is feasible to spread in many fields.

Key words： Binocular Stereo Vision 3D Face Reconstruction Subdivision Method

Received: 30 March 2009

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I5/686

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