Improving Face Segmentation in Thermograms Using Image Signatures

被引：0
|
作者：
Filipe, Silvio [1 ]
Alexandre, Luis A. [1 ]
机构：
[1] Univ Beira Interior, SOCIA Soft Comp & Image Anal Grp, IT Inst Telecomun, Dept Comp Sci, P-6200 Covilha, Portugal
来源：
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS | 2010年 / 6419卷
关键词：
Face Segmentation; Human Skin Segmentation; Image segmentation; Infrared Thermal;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to present a method for the automatic segmentation of face images captured in Long Wavelength Infrared (LWIR), allowing for a large range of face rotations and expressions. The motivation behind this effort is to enable better performance of face recognition methods in the thermal Infrared (IR) images. The proposed method consists on the modelling of background and face pixels by two normal distributions each, followed by a post-processing step of face dilation for closing holes and delimitation based on vertical and horizontal images signatures. Our experiments were performed on images of the University of Notre Dame (UND) and Florida State University (FSU) databases. The obtained results improve on previous existing methods from 2.8% to more than 25% depending on the method and database.
引用
收藏
页码：402 / 409
页数：8
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