基于表面及空间特征的人体模型结构分析  

Structure Analysis for Human Models Based on Surface and Spatial Features

作　　者：韩丽[1,2] 黎琳[1] 徐建国[1] 唐棣[1] 

机构地区：[1]辽宁师范大学计算机科学与信息技术学院,大连市116081 [2]大连理工大学计算机科学与技术学院,大连市116024

出　　处：《模式识别与人工智能》2015年第3期231-238,共8页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.61202316);辽宁省高等学校优秀人才支持项目(No.LJQ2013110)资助

摘　　要：结构特征在仿射变换中具有极强的稳定性,可有效避免形状识别的二义性,文中提出融合模型的表面几何特征以及空间体特征的人体模型结构分析方法.针对表面测地线距离方法描述局部形状特征的局限性,引入模型的内部体积分析方法,并将模型的内部空间结构与表面形状特征融合,实现人体模型的结构检测和分割.该方法不仅有效提高模型形状分析的稳定性与适用性,而且增强提取形态骨架的精确性,可进一步应用于模型识别与检索领域中.Structural feature of a 3D model has strong stability in affine transformation, and it effectively avoids the ambiguity of shape understanding. A method for 3D human structure analysis is developed by combining surface geometric feature with spatial feature. Aiming at the limitation of geodesic distance in revealing local part details of 3D human models, an approach is introduced for interior volume computation, and then it implements the structure detection and segmentation with the help of the fusion of surface shape feature and spatial structure feature. The proposed method not only improves the stability and applicability of shape analysis, but also enhances the accuracy of skeletal descriptor for 3D human model, and it can be further applied to the model identifcation and retrieval.

关 键 词：形状分析 特征提取 空间结构 三维人体模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]