Locating head and face boundaries for head-shoulder images

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

16 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1317-1333
Journal / PublicationPattern Recognition
Volume32
Issue number8
Publication statusPublished - Aug 1999
Externally publishedYes

Abstract

This paper presents a model-based approach to locate head and face boundaries in a head-shoulder image with plain background. Three models are constructed for the images, where the head boundary is divided into left/right subboundaries and the face boundary is divided into left/right and top/bottom sub-boundaries. The left/right head boundaries are located from two thresholded images and the final result is the combination of them. After the head boundary is located, the four face sub-boundaries are located from the grey edge image. The algorithm is carried out iteratively by detecting low-level edges and then organizing/verifying them using high-level knowledge of the general shape of a head. The experimental results using a database of 300 images show that this approach is promising. © 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Research Area(s)

  • Face boundary models, Face detection, Feature extraction, Shape analysis

Citation Format(s)

Locating head and face boundaries for head-shoulder images. / Hu, Jianming; Yan, Hong; Sakalli, Mustafa.
In: Pattern Recognition, Vol. 32, No. 8, 08.1999, p. 1317-1333.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review