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Author:

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

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

Face feature Face recognition technology Algorith Kinect

Author Community:

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

Reprint Author's Address:

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

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Source :

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

Year: 2017

Page: 29-33

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

Affiliated Colleges:

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