摘要
单相机下 ,三维信息的恢复往往呈现出病态 ,如何在透视投影约束下恢复高质量的三维人体运动信息是计算机视觉领域一个具有挑战性的课题 .提出一个扩展模型 ,即如何从起点出发 ,依次扩展得到三维空间中人体关节点的位置 ,从而恢复出运动信息 .相对于已有的算法 ,提出在搜索空间中用一组最优准则得到连续平滑的扩展起点 ,并且在扩展过程中利用全局运动平滑假设 ,有效地消除了深度信息恢复时固有的二义性 .最后 ,将结果运用于动画制作 ,验证提出的算法的有效性 .
Due to lack of information in 3-dimension, the problem of generating 3D human motion from 2D images taken by single camera is almost impossible at first sight and is regarded as an ill-conditioned problem. Our idea is based on a propagation model and an algorithm is proposed to acquire the 3D motion information. In contrast to the existing methods, our approach utilizes a set of rules to get the smooth starting points of the model within a predefined space. Then the spatial ambiguity arisen from the fact that there are two possible poses of a link in 3D is eliminated by our expanding algorithm. Finally, several experiment results are presented and validated.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2002年第11期1041-1046,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金 ( 6 980 30 0 9
6 97330 30 )
高等学校骨干教师资助计划项目
教育部优秀年轻教师基金资助
