SinusCone /spl Theta//spl Phi/-a ThetaPhi algorithm for human arm animation

机译：SinUscone / SPLθ// SPL PHI / -A人类手臂动画的算法

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Arm animation algorithms are often categorized by their constraint expansion strategy. One option is the geometric bounding polygon-cone strategy, a simple containment search strategy that traverses the search space in the order in which successor bounding polygon edges are generated. An alternative is the ThetaPhi-cone strategy, which was designed to make it possible to use domain-specific heuristic information. By exploring promising parts of the cone space first, ThetaPhi-cone algorithms generally are more efficient than polygon-cone algorithms.

机译：ARM动画算法通常由其约束扩展策略进行分类。一个选项是几何边界多边形锥策略，一种简单的容纳搜索策略，其遍历搜索空间的顺序，其中正在生成继承人边界多边形边缘的顺序。替代方案是Thetaphi-Cone策略，旨在使得可以使用特定于域的启发式信息。通过首先探索锥形空间的有前途的部分，Thetaphi-Cone算法通常比多边形锥算法更有效。

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《IEEE International Conference on Information Visualization》|2000年||共5页
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Huang Jing; Prakash E.C.; Institute of Electric and Electronic Engineer;
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中图分类自动化技术、计算机技术;
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SinusCone /spl Theta//spl Phi/-a ThetaPhi algorithm for human arm animation

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