NDLI: Wavelet-based morphological approach for detection of human face region

Content Provider	IEEE Xplore Digital Library
Author	Jong Bae Kim Chae Hyun Moon Hang Joon Kim
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Eng., Kyungpook Nat. Univ., Deagu, South Korea (Jong Bae Kim; Chae Hyun Moon; Hang Joon Kim)
Abstract	In this paper, we present a novel method to detect a human skin region from a given head and shoulder image. The presented method consists of two stages: region segmentation and facial region detection. In the region segmentation, the input image is segmented into an appropriate set of arbitrary regions using the wavelet-based watershed algorithm. Then, to merge the regions forming an object, we use a spatial similarity between two regions since the regions forming an object share some common wavelet characteristics. In facial region detection, the facial regions are identified from the segmented results using a skin-color model. The results of region segmentation and facial region detection are integrated to provide facial regions with accurate and closed boundaries. In our experiments, the algorithm detected 87-94% of the faces, including frames from videoconference sequences. The average run time range from 0.23-0.34 sec per frame.
Starting Page	417
Ending Page	420
File Size	320592
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1044741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Humans Image segmentation Image resolution Image coding Indexing Face recognition Image recognition Wavelet transforms Moon
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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