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.
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Tomoharu NAGAO, Takeshi AGUI, Masayuki NAKAJIMA, "An Extraction Method of Partially Occluded Objects Utilizing Partial Shape Vectors" in IEICE TRANSACTIONS on transactions,
vol. E73-E, no. 3, pp. 410-417, March 1990, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e73-e_3_410/_p
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@ARTICLE{e73-e_3_410,
author={Tomoharu NAGAO, Takeshi AGUI, Masayuki NAKAJIMA, },
journal={IEICE TRANSACTIONS on transactions},
title={An Extraction Method of Partially Occluded Objects Utilizing Partial Shape Vectors},
year={1990},
volume={E73-E},
number={3},
pages={410-417},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - An Extraction Method of Partially Occluded Objects Utilizing Partial Shape Vectors
T2 - IEICE TRANSACTIONS on transactions
SP - 410
EP - 417
AU - Tomoharu NAGAO
AU - Takeshi AGUI
AU - Masayuki NAKAJIMA
PY - 1990
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E73-E
IS - 3
JA - IEICE TRANSACTIONS on transactions
Y1 - March 1990
AB - 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.
ER -