Multi-faces location in color image

A practical algorithm for face detection is presented to locate multiple faces in a color scenery image. An image is first classified by skin/non-skin algorithm. Then, morphology algorithm is used to clean the skin-likes image map by a pre-defined face element structure. Next, the image is clustered...

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Main Author: Li, Shixiong
Format: Others
Published: 2002
Online Access:http://spectrum.library.concordia.ca/1911/1/MQ72937.pdf
Li, Shixiong <http://spectrum.library.concordia.ca/view/creators/Li=3AShixiong=3A=3A.html> (2002) Multi-faces location in color image. Other thesis, Concordia University.
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-QMG.19112013-10-22T03:41:55Z Multi-faces location in color image Li, Shixiong A practical algorithm for face detection is presented to locate multiple faces in a color scenery image. An image is first classified by skin/non-skin algorithm. Then, morphology algorithm is used to clean the skin-likes image map by a pre-defined face element structure. Next, the image is clustered and region is generated according to processed pixels left in the image. After region separation and coarse region detection, we introduce an elliptic face mode by using eigen vector to locate a candidate human face. Finally, a face verification process is implemented to detect a real human face for all candidate face regions. A face center and pose is detected and modified by rotation. The main technique in facing location are color, shape detection and noise cleaning. In this implementation, there is no size limitation for color scenery image and human face inside. Experimental results cover different phases. Critical problems in face location still need to be explored. This project is implemented in Java. 2002 Thesis NonPeerReviewed application/pdf http://spectrum.library.concordia.ca/1911/1/MQ72937.pdf Li, Shixiong <http://spectrum.library.concordia.ca/view/creators/Li=3AShixiong=3A=3A.html> (2002) Multi-faces location in color image. Other thesis, Concordia University. http://spectrum.library.concordia.ca/1911/
collection NDLTD
format Others
sources NDLTD
description A practical algorithm for face detection is presented to locate multiple faces in a color scenery image. An image is first classified by skin/non-skin algorithm. Then, morphology algorithm is used to clean the skin-likes image map by a pre-defined face element structure. Next, the image is clustered and region is generated according to processed pixels left in the image. After region separation and coarse region detection, we introduce an elliptic face mode by using eigen vector to locate a candidate human face. Finally, a face verification process is implemented to detect a real human face for all candidate face regions. A face center and pose is detected and modified by rotation. The main technique in facing location are color, shape detection and noise cleaning. In this implementation, there is no size limitation for color scenery image and human face inside. Experimental results cover different phases. Critical problems in face location still need to be explored. This project is implemented in Java.
author Li, Shixiong
spellingShingle Li, Shixiong
Multi-faces location in color image
author_facet Li, Shixiong
author_sort Li, Shixiong
title Multi-faces location in color image
title_short Multi-faces location in color image
title_full Multi-faces location in color image
title_fullStr Multi-faces location in color image
title_full_unstemmed Multi-faces location in color image
title_sort multi-faces location in color image
publishDate 2002
url http://spectrum.library.concordia.ca/1911/1/MQ72937.pdf
Li, Shixiong <http://spectrum.library.concordia.ca/view/creators/Li=3AShixiong=3A=3A.html> (2002) Multi-faces location in color image. Other thesis, Concordia University.
work_keys_str_mv AT lishixiong multifaceslocationincolorimage
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