Fast Facial Detection by Depth Map Analysis
Joint Authors
Shieh, Ming-Yuan
Hsieh, Tsung-Min
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In order to obtain correct facial recognition results, one needs to adopt appropriate facial detection techniques.
Moreover, the effects of facial detection are usually affected by the environmental conditions such as background, illumination, and complexity of objectives.
In this paper, the proposed facial detection scheme, which is based on depth map analysis, aims to improve the effectiveness of facial detection and recognition under different environmental illumination conditions.
The proposed procedures consist of scene depth determination, outline analysis, Haar-like classification, and related image processing operations.
Since infrared light sources can be used to increase dark visibility, the active infrared visual images captured by a structured light sensory device such as Kinect will be less influenced by environmental lights.
It benefits the accuracy of the facial detection.
Therefore, the proposed system will detect the objective human and face firstly and obtain the relative position by structured light analysis.
Next, the face can be determined by image processing operations.
From the experimental results, it demonstrates that the proposed scheme not only improves facial detection under varying light conditions but also benefits facial recognition.
American Psychological Association (APA)
Shieh, Ming-Yuan& Hsieh, Tsung-Min. 2013. Fast Facial Detection by Depth Map Analysis. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032085
Modern Language Association (MLA)
Shieh, Ming-Yuan& Hsieh, Tsung-Min. Fast Facial Detection by Depth Map Analysis. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1032085
American Medical Association (AMA)
Shieh, Ming-Yuan& Hsieh, Tsung-Min. Fast Facial Detection by Depth Map Analysis. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032085