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三维人脸扫描图像数据预处理 被引量:4

Preprocessing of 3D Scanning Face Image Data
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摘要 为构造基于知识学习的形变模型所需的规格化三维人脸库,提出一种纹理映射图数据结构及以点为处理单元的分割三维人脸的方法.该结构将原始数据隐含的信息显性化,为激光扫描仪采集的真实三维人脸中分离的采样点与纹理2部分数据建立双向映射关系,以保证数据操作和处理达到实时与同步.基于此结构的快速映射特点,提出的分割方法以二维纹理点为操作对象能够快速处理大量原始数据. In order to construct normalized 3D face database which knowledge-based morphable model requires, a texture map based on data structure and a point-based segmentation method for 3D face are presented. This structure represents explicitly the implied information of original data, and constructs bidirectional-mapping between the separated sampling points and texture of the real 3D faces scanned by laser scanner. So it can ensure that the two parts of data are processed synchronously and real-time. Using rapid mapping feature of this data structure, the presented segmentation method can process plenty of original data rapidly.
出处 《北京工业大学学报》 CAS CSCD 北大核心 2005年第3期323-327,共5页 Journal of Beijing University of Technology
基金 国家"九七三"计划资助项目(2001CCA03300)国家自然基金资助项目(60375007)北京市自然科学基金资助项 目(D070601-01)北京市科学技术委员会资助项目(N070601-01)北京市教育委员会资助项目(P070701-01 P070702-01).
关键词 三维人脸 采样点 纹理点 双向映射 纹理映射图 分割 3D face sampling point texture point bidirectional map texture map segment
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