模式识别与人工智能
模式識彆與人工智能
모식식별여인공지능
Moshi Shibie yu Rengong Zhineng
2014年
3期
213-225
,共13页
头部姿势估计%模式识别%计算机视觉%人脸识别
頭部姿勢估計%模式識彆%計算機視覺%人臉識彆
두부자세고계%모식식별%계산궤시각%인검식별
Head Pose Estimation%Pattern Recognition%Computer Version%Face Recognition
头部姿势估计的研究成果众多，但缺乏系统、详尽的综述性文献。针对该问题，首先介绍头部姿势的表达方式和头部姿势估计的基本问题，然后从方法依赖的数据源、人工干预程度和实现原理等角度对已有头部姿势估计方法进行分类，并以实现原理为主线，以所依赖的数据源为辅助，对头部姿势估计问题的研究文献进行详细整理和分析。
頭部姿勢估計的研究成果衆多，但缺乏繫統、詳儘的綜述性文獻。針對該問題，首先介紹頭部姿勢的錶達方式和頭部姿勢估計的基本問題，然後從方法依賴的數據源、人工榦預程度和實現原理等角度對已有頭部姿勢估計方法進行分類，併以實現原理為主線，以所依賴的數據源為輔助，對頭部姿勢估計問題的研究文獻進行詳細整理和分析。
두부자세고계적연구성과음다，단결핍계통、상진적종술성문헌。침대해문제，수선개소두부자세적표체방식화두부자세고계적기본문제，연후종방법의뢰적수거원、인공간예정도화실현원리등각도대이유두부자세고계방법진행분류，병이실현원리위주선，이소의뢰적수거원위보조，대두부자세고계문제적연구문헌진행상세정리화분석。
Lots of head pose estimation methods have been presented, while there is not any survey that systematically summarizes the existing methods. To address this problem, detailed description of head pose estimation is firstly presented to define what head pose estimation is and how to describe it. Then, the existing head pose estimation methods are categorized according to the data source used by the methods, the automation of the methods and the principle of the methods. Furthermore, the principle and data source are taken as the main line and auxiliary line respectively to detailedly review and analyze the existing head pose estimation methods.
