Abstract：
:Facial nerve paralysis is a common disease due to nerve damage. Most approaches for evaluating the degree of facial paralysis rely on a set of different facial movements as commanded by doctors. Therefore, automatic recognition of the patterns of facial movement is fundamental to the evaluation of the degree of facial paralysis. In this paper, a novel method named Active Shape Models plus Local Binary Patterns (ASMLBP) is presented for recognizing facial movement patterns. Firstly, the Active Shape Models (ASMs) are used in the method to locate facial key points. According to these points, the face is divided into eight local regions. Then the descriptors of these regions are extracted by using Local Binary Patterns (LBP) to recognize the patterns of facial movement. The proposed ASMLBP method is tested on both the collected facial paralysis database with 57 patients and another publicly available database named the Japanese Female Facial Expression (JAFFE). Experimental results demonstrate that the proposed method is efficient for both paralyzed and normal faces.
journal_name
Biomed Mater Engjournal_title
Bio-medical materials and engineeringauthors
Wang T,Dong J,Sun X,Zhang S,Wang Sdoi
10.3233/BME-141093subject
Has Abstractpub_date
2014-01-01 00:00:00pages
2751-60issue
6eissn
0959-2989issn
1878-3619pii
V3U4H7PUU5520R33journal_volume
24pub_type
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