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作者:

Wang, Yutong (Wang, Yutong.) | Liu, Yuge (Liu, Yuge.)

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摘要:

Face recognition is a popular research technique in the field of computer science. Kinect is a popular somatosensory device, and it can take advantage of the special characteristics of Kinect devices to play its advantages in the study. This paper mainly describes the technology of face recognition as the center, face recognition technology research background and significance of Chinese and foreign research status of facial expression recognition technology are introduced, including facial expression recognition of the significance, the development direction of the technology and algorithms of expression feature extraction and expression recognition, based on the commonly used Kinect. This article also describes the use of Kinect on the human face location, as well as facial features extraction algorithm selection and Hog feature extraction principle. Finally, the SVM classifier and algorithm analysis are introduced.

关键词:

Algorith Face feature Face recognition technology Kinect

作者机构:

  • [ 1 ] [Wang, Yutong]Beijing Univ Technol, 100 Pingleyuan, Beijing, Peoples R China
  • [ 2 ] [Liu, Yuge]Beijing Univ Technol, 100 Pingleyuan, Beijing, Peoples R China

通讯作者信息:

  • [Wang, Yutong]Beijing Univ Technol, 100 Pingleyuan, Beijing, Peoples R China

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来源 :

PROCEEDINGS OF 2017 VI INTERNATIONAL CONFERENCE ON NETWORK, COMMUNICATION AND COMPUTING (ICNCC 2017)

年份: 2017

页码: 29-33

语种: 英文

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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