Local Binary Patterns based Hierarchical Method for Facial Expression Recognition
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 100 === So far, automatic human facial expression recognition has been a challenging problem in computer vision area, and brings strong impacts in important applications in many areas such as human-computer interaction and data-driven animation. In this thesis, I use t...
Main Authors: | Hsing-Han Ho, 何星翰 |
---|---|
Other Authors: | Ming Ouhyoung |
Format: | Others |
Language: | en_US |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/92797046499255942918 |
Similar Items
-
Recognition of Facial Expressions using Local Mean Binary Pattern
by: Mahesh M Goyani, et al.
Published: (2017-07-01) -
Facial Expression Recognition based on Fusing Weighted Local Directional Pattern and Local Binary Pattern
by: Chuang, Shun-Hsu, et al.
Published: (2010) -
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap
by: Xiaoming Zhao, et al.
Published: (2011-10-01) -
Circular Derivative Local Binary Pattern Feature Description for Facial Expression Recognition
by: TCHANGOU TOUDJEU, I., et al.
Published: (2019-02-01) -
Facial Expressions Recognition Based on Cognition and Mapped Binary Patterns
by: Chao Qi, et al.
Published: (2018-01-01)