Fitting of semantic wire-frames using principal components analysis of a set of facial images

A new, fast and efficient method of automatic fitting of wire-frames for semantic model-based coding of head-and-shoulders video sequences is proposed. The method utilises the principal components analysis (PCA) of a codebook of facial images. The PCA of the facial codebook is performed only once wh...

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Bibliographic Details
Published in:	6th International Conference on Image Processing and its Applications pp. 351 - 355
Main Authors:	Antoszczyszyn, P.M, Hannah, J.M, Grant, P.M
Format:	Conference Proceeding
Language:	English
Published:	London IEE 1997
Subjects:	Applied sciences Codes Computer vision and image processing techniques Exact sciences and technology Image processing Information, signal and communications theory Optical information, image and video signal processing Pattern recognition Signal processing Telecommunications and information theory online processing human face geometry data compression semantic wire-frames algorithm speed head and shoulders video sequences video coding automatic wire-frames fitting image analysis algorithm reliability principal components analysis facial images semantic model based coding facial codebook face recognition image sequences Image processing Principal component analysis
ISBN:	085296692X, 9780852966921
ISSN:	0537-9989
Online Access:	Get full text
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