WANG Shuliang, YUAN Hanning, CAO Baohua, WANG Dakui. Facial Data Field[J]. Chinese Journal of Electronics, 2015, 24(4): 667-673. doi: 10.1049/cje.2015.10.001
Citation: WANG Shuliang, YUAN Hanning, CAO Baohua, WANG Dakui. Facial Data Field[J]. Chinese Journal of Electronics, 2015, 24(4): 667-673. doi: 10.1049/cje.2015.10.001

Facial Data Field

doi: 10.1049/cje.2015.10.001
Funds:  This paper is supported by the National Natural Science Fund of China (No.61472039, No.61173061, No.71201120).
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  • Corresponding author: YUAN Hanning (corresponding author)is an associate professor in BeijingInstitute of Technology in China. Her researchinterests include e-commerce, anddata mining. (Email: yhn6@bit.edu.cn).
  • Received Date: 2015-03-10
  • Rev Recd Date: 2015-06-01
  • Publish Date: 2015-10-10
  • Expressional face recognition is a challenge in computer vision for complex expressions. Facial data field is proposed to recognize expression. Fundamentals are presented in the methodology of face recognition upon data field and subsequently, technical algorithms including normalizing faces, generating facial data field, extracting feature points in partitions, assigning weights and recognizing faces. A case is studied with JAFFE database for its verification. Result indicates that the proposed method is suitable and effective in expressional face recognition considering the whole average recognition rate is up to 94.3%. In conclusion, data field is considered as a valuable alternative to pattern recognition.
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