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An Extraction Method of Partially Occluded Objects Utilizing Partial Shape Vectors

Tomoharu NAGAO, Takeshi AGUI, Masayuki NAKAJIMA

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Summary :

A new recognition method for partially occluded two dimensional objects is described in the present paper. Several vectors named PSVs, Partial Shape Vectors, are proposed as local features of an object and used for recognition. Two dimensional objects similar to a given model are extracted by this method. PSVs denote turning angles at an arbitrary point of the contour line of an object. In the recognition process, PSVs of each picture point in the given image are obtained and compared with PSVs of feature points which were set on the model. From coordinate values of the candidates for the feature points, objects similar to the model are extracted.

Publication
IEICE TRANSACTIONS on transactions Vol.E73-E No.3 pp.410-417
Publication Date
1990/03/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Image Processing, Computer Graphics and Pattern Recognition

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