Face Detection Technique Based on Skin Color and Facial Features
Face detection is an essential first step in face recognition systems with the purpose of localizing and extracting the face region from the background. Apart from increasing the efficiency of face recognition systems, face detection technique also opens up the door of opportunity for application...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2005
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| 主題: | |
| 在線閱讀: | http://psasir.upm.edu.my/id/eprint/5987/1/FK_2005_9.pdf |
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| 總結: | Face detection is an essential first step in face recognition systems with the purpose of
localizing and extracting the face region from the background. Apart from increasing the
efficiency of face recognition systems, face detection technique also opens up the door
of opportunity for application areas such as content based image retrieval, video
encoding, video conferencing, crowd surveillance and intelligent human computer
interfaces.
This thesis presents the design of face detection approach which is capable of detecting
human faces from complex background. A skin color modeling process is adopted for
the face segmentation process. Image enhancement is then used to improve the face
candidate before feeding to the face object classifier based on Modified Hausdroff
distance. The results indicate that the system is able to detect human faces with
reasonable accuracy |
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