The detection of under-eye bags on the facial image
- Resource Type
- Conference
- Authors
- Jiang, Xiao; Chai, Yong; Xiong, Wei; Zhao, Yi
- Source
- 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on. :322-326 Jul, 2015
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Indexes
Standards
Lenses
Image edge detection
Noise
Xenon
Under-eye bags
features
facial aging
detection
classifier
- Language
In this paper, we propose a novel approach to detect the under-eye bags on the human facial image. The existence and exacerbation of the under-eye bags is one of the significant marks of the facial aging. Once the under-eye bags appear, it not only plays an important impact on the human looks but also gives the impression of the emaciation and senescence. Our experiments and algorithms are based on the image gallery built on our own. The image gallery consists of 8132 facial images of 230 different males which are from different age. The decision of the presence of the under-eye bags in the image is made with the help of the experienced oculists. In the analysis of the facial images, we find several significant features of the under-eye bags in the captured images and design some effective methods to detect them. Base on the our reasonable detection methods, we have designed the under-eye bags classifier. Then we use the whole gallery to evaluate the performance of the classifier. The experiments show that the under-eye bags in the facial image can be well detected with a relatively high accuracy although both the forms of the under-eye bags and the illumination of the image acquisition condition are various.1