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METHOD FOR EXTRACTING PERSONAL STYLES AND ITS APPLICATION TO MOTION SYNTHESIS AND RECOGNITION

机译:人格风格提取方法及其在运动合成与识别中的应用

摘要

Disclosed is a method for automatically extracting personal styles from captured motion data. The inventive method employs wavelet analysis to extract the captured motion vector of different actors into wavelet coefficients, and thus forms a feature vector by optimization selection, which is used later for identification purposes. When the inventive method is applied to process animation frames, the performance can be evaluated by grouping and classification matrix without any correlation with the type of the motion. Also, even if the type of the motion is not stored in the database in advance, the motions of the actor can still be recognized by a learning module regardless of the type of the motions.
机译:公开了一种用于从捕获的运动数据中自动提取个人风格的方法。本发明的方法采用小波分析来将捕获的不同演员的运动矢量提取为小波系数,从而通过优化选择形成特征矢量,该特征矢量随后用于识别目的。当本发明的方法应用于处理动画帧时,可以通过分组和分类矩阵来评估性能,而与运动的类型没有任何关系。而且,即使动作的类型没有预先存储在数据库中,演员的动作仍然可以由学习模块识别,而与动作的类型无关。

著录项

  • 公开/公告号US2012147014A1

    专利类型

  • 公开/公告日2012-06-14

    原文格式PDF

  • 申请/专利权人 CHAO-HUA LEE;

    申请/专利号US201113290118

  • 发明设计人 CHAO-HUA LEE;

    申请日2011-11-06

  • 分类号G06T13/00;

  • 国家 US

  • 入库时间 2022-08-21 17:34:59

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