A Real-time Facial Feature Detection and Facial Expression Recognition System

• Main Authors: Rui-Qi Jiang, 江睿騏
• Other Authors: 吳匡時
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/92223820593136362318

碩士 === 清雲科技大學 === 資訊工程所 === 98 === This thesis develops a real-time facial feature detection and facial expression recognition system, the core contribution is to improve the facial expression recognition rate. The former methods of facial expression recognition mainly depend on the change of mouth shape. In some angry or sad facial expression cases, the recognition rate is somewhat low. However, our thesis used eyebrow feature in addition to mouth shape factor considered that therefore enhanced the recognition rate. At the beginning of our process, the image background was trained and used to delete unrelated pixels, then the method of skin color adjustment in YCbCr color space was used to remove the information irrelative to face. After that, we used the erosion operator of morphology to eliminate the small noise objects, and use the horizontal/vertical projection from multiple objects to find out the face object. And finally in the face detection phase, the dilation operator of morphology was used to expand the face object shrunken and broken by the previous erosion operator. The thesis again proposed an independently design, the facial features methods, locating the regions of eyes, the pupil of the eye, eyebrow and mouth, aimed at each region to carry on the filter again, and discovered the facial feature points. Our facial expression recognition method is to rely on these feature points. In this thesis, we used new features to distinguish different facial expression. Due to the use of feature points of eyebrow, the facial expression recognition rate was improved.