标题:PHOW based feature detection for head pose estimation
作者:Jian, Wang ;Hua, Yan ;Jing, Li ;Ping, Xia
作者机构:[Jian, Wang ;Hua, Yan ;Ping, Xia ] School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan; 250014, China;[Jing 更多
会议名称:16th IEEE International Conference on Communication Technology, ICCT 2015
会议日期:October 18, 2015 - October 20, 2015
来源:International Conference on Communication Technology Proceedings, ICCT
出版年:2015
卷:2016-February
页码:437-440
DOI:10.1109/ICCT.2015.7399876
摘要:In this paper, we use the Pyramid Histogram of Words (PHOW) feature in head pose estimation. Firstly, we divide the image into a regular grid, extract the Dense Scale-Invariant Feature Transform (Dense-SIFT) of it, and use K-means clustering method to obtain visual vocabulary dictionary. In order to save the location information of visual vocabularies, we set up the space pyramid of images and extract PHOW features based on Dense-SIFT. The method of feature extraction for head pose estimation is proved to be effective and is more robust to some noise (e.g., illumination, expression, occlusions and so on). Experimental results are presented to demonstrate the effectiveness of the feature extraction method.
© 2015 IEEE.
收录类别:EI
资源类型:会议论文
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