结合纹理信息的深度像匹配  

Range Images Registration Combined with Texture Information

作　　者：刘晓利[1] 彭翔[2] 李阿蒙[2] 高鹏东[1] 

机构地区：[1]天津大学精密测试技术与仪器国家重点实验室,300072 [2]天津深圳大学光电子学研究所教育部光电子器件与系统重点实验室,深圳518060

出　　处：《计算机辅助设计与图形学学报》2007年第3期340-345,共6页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(60275012);广东省自然科学基金(031804);广东省普通高校自然科学研究重点项目(04Z010);深圳市科技计划项目(200341)

摘　　要：利用图像的相关性在不同深度像对应的纹理图中自动选取特征点对;然后根据Hausdorff距离判断对应点对的有效性,并利用这些对应点对获得相应的深度点对,从而计算出2个深度像之间的初始位置变换关系;最后结合一种改进的带纹理的ICP算法实现深度像的精确配准.实验结果证明:该算法不仅适用于自由曲面的深度像匹配,而且适用于规则对称物体的匹配.A method for the coarse registration of range images based on texture features is proposed. By the method, the feature pixel-pairs in two texture images are identified automatically by cross-correlation, and the validity-checking of these pixel-pairs is implemented through Hausdorff distance comparison. The correspondence between the texture image and range image helps to acquire the range point-pairs, and the initial transform of two range images is calculated by the least-square technique. With this initial transform, the fine registration is achieved by Texture ICP algorithm. Not only can this method deal with the registration of two free-form surfaces, but also the objects with highly symmetric shapes. The experiment demonstrates the efficiency of the algorithm.

关 键 词：粗匹配 ICP算法 图像相关性 HAUSDORFF距离 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]