Lip Segmentation Based on Facial Complexion Template

Author(s):  
Chenyang Sun ◽  
Hong Lu ◽  
Wenqiang Zhang ◽  
Xiaoxin Qiu ◽  
Fufeng Li ◽  
...  
Keyword(s):  
Author(s):  
Shilin Wang ◽  
Wing Hong Lau ◽  
Alan Wee-Chung Liew ◽  
Shu Hung Leung

Recently, lip image analysis has received much attention because the visual information extracted has been shown to provide significant improvement for speech recognition and speaker authentication, especially in noisy environments. Lip image segmentation plays an important role in lip image analysis. This chapter will describe different lip image segmentation techniques, with emphasis on segmenting color lip images. In addition to providing a review of different approaches, we will describe in detail the state-of-the-art classification-based techniques recently proposed by our group for color lip segmentation: “Spatial fuzzy c-mean clustering” (SFCM) and “fuzzy c-means with shape function” (FCMS). These methods integrate the color information along with different kinds of spatial information into a fuzzy clustering structure and demonstrate superiority in segmenting color lip images with natural low contrast in comparison with many traditional image segmentation techniques.


2017 ◽  
Vol 63 ◽  
pp. 355-370 ◽  
Author(s):  
Alessandro Danielis ◽  
Daniela Giorgi ◽  
Marcus Larsson ◽  
Tomas Strömberg ◽  
Sara Colantonio ◽  
...  

Measurement ◽  
2019 ◽  
Vol 141 ◽  
pp. 95-101
Author(s):  
Yuanyao Lu ◽  
Xiaoshan Zhu ◽  
Ke Xiao

2006 ◽  
Author(s):  
MinJae Park ◽  
JongMo Seo ◽  
KwangSuk Park

Sign in / Sign up

Export Citation Format

Share Document