基于多视点可见性检测的面皮三维表面重建

3D surface reconstruction for facial model from tomographic images based on multi-view visibility detection

提出了一种面皮三维表面重建方法 SRMFM(surface reconstruction method for facial model),首先采用MC算法重建面皮三维模型,在Frankfurt坐标校正基础上建立面皮体素模型,然后采用基于广度优先遍历的多视点可见性检测算法提取表面顶点,创建面皮三维表面模型。可从断层图像自动、快速地重建出保持表面细节特征的面皮三维表面模型。

A 3D SRMFM （surface reconstruction method for facial model） is proposed, which employs Marching Cubes algorithm to construct 3D facial model, and builds facial voxel model after Frankfurt coordinate correction is accomplished, then applies MVD （multi-view visibility detection） based on BFS （breadth first search） to extract external surface vertexes from which facial surface model is constructed finally. Achieved the goal of reconstructing facial surface model automatically and quickly with geometric details well kept. SRMFM is an automatic and effi- cient 3D facial surface reconstruction method caoable of keening