The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 19, 2015
Filed:
May. 26, 2011
Wen-nan Wang, Cingshuei Township, Taichung County, TW;
Shang-hong Lai, Hsinchu, TW;
Chia-te Liao, Kaohsiung, TW;
Hui-ju Chuang, Kaohsiung, TW;
Tzu-chen Tsai, Taichung, TW;
Fang-kai Chang, Chiayi, TW;
Wen-Nan Wang, Cingshuei Township, Taichung County, TW;
Shang-Hong Lai, Hsinchu, TW;
Chia-Te Liao, Kaohsiung, TW;
Hui-Ju Chuang, Kaohsiung, TW;
Tzu-Chen Tsai, Taichung, TW;
Fang-kai Chang, Chiayi, TW;
INSTITUTE FOR INFORMATION INDUSTRY, Taipei, TW;
Abstract
A facial expression recognition system includes a facial database, an image capture unit, an expression recognition data generation unit and an expression recognition unit. The facial database includes a plurality of expression information and expression features of optical flow field, wherein each of the expression features of optical flow field corresponds to one of the expression information. The image capture unit captures a plurality of facial images. The expression recognition data generation unit is coupled to the image capture unit and the facial database for receiving a first facial image and a second facial image from the image capture unit and calculating an expression feature of optical flow field between the first facial image and the second facial image corresponding to each of the expression information. The expression recognition unit is coupled to the expression recognition data generation unit for determining a facial expression corresponding to the first and second facial images according to the calculated expression feature of optical flow field for each of the expression information and the variation features in optical flow in the facial database.