Local Binary Patterns based Hierarchical Method for Facial Expression Recognition

• 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

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 the Local Binary Patterns method, which was used commonly in face recognition, to recognize the facial expressions. Furthermore, I propose a novel idea to improve the result. This new method is called “Hierarchical Facial Expression Recognition”. In traditional facial expression recognition, the researchers use training data to make a classifier, and classify the test expression data into one of the several basic expressions directly. Hierarchical method separates the recognition process into few stages, each stage using specific methods to deal with the specific expression to step by step recognize the target image. The overall recognition rates of my system on two expression databases are about 80% and 86% with pure Local Binary Patterns algorithm, and reach 87% and 89% after using the hierarchical method. This work shows that the Local Binary Patterns method is practical in facial expression recognition, and the idea of hierarchical facial expression recognition can further improve the result.