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Methods to automatically build Point Distribution Models for objects like hand palms and faces represented in images

Title
Methods to automatically build Point Distribution Models for objects like hand palms and faces represented in images
Type
Article in International Scientific Journal
Year
2008
Authors
Maria João M. Vasconcelos
(Author)
Other
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João Manuel R. S. Tavares
(Author)
FEUP
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Journal
Vol. 36 No. 3
Pages: 213-241
ISSN: 1526-1492
Publisher: Tech Science Press
Indexing
Publicação em ISI Web of Science ISI Web of Science
Publicação em Scopus Scopus
INSPEC
COMPENDEX
Scientific classification
FOS: Engineering and technology > Other engineering and technologies
CORDIS: Technological sciences > Technology > Computer technology > Image processing
Other information
Abstract (EN): In this work we developed methods to automatically extract significant points of objects like hand palms and faces represented in images that can be used to build Point Distribution Models automatically. These models are further used to segment the modelled objects in new images, through the use of Active Shape Models or Active Appearance Models. These models showed to be efficient in the segmentation of objects, but had as drawback the fact that the labelling of the landmark points was usually manually made and consequently time consuming. Thus, in this paper we describe some methods capable to extract significant points of objects like hand palms and compare the segmentation results in new images.
Language: English
Type (Professor's evaluation): Scientific
License type: Click to view license CC BY-NC
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