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Titolo:
Invariant object detection based on evidence accumulation and Gabor features
Autore:
Park, HJ; Yang, HS;
Indirizzi:
Korea Adv Inst Sci & Technol, Dept Comp Sci, Yusong Gu, Taejon 305701, South Korea Korea Adv Inst Sci & Technol Taejon South Korea 305701 5701, South Korea
Titolo Testata:
PATTERN RECOGNITION LETTERS
fascicolo: 8, volume: 22, anno: 2001,
pagine: 869 - 882
SICI:
0167-8655(200106)22:8<869:IODBOE>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
FACE RECOGNITION; HOUGH TRANSFORM; POSE; SHAPES;
Keywords:
invariant object detection; evidence accumulation; pose clustering; Gabor transform;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
17
Recensione:
Indirizzi per estratti:
Indirizzo: Yang, HS Korea Adv Inst Sci & Technol, Dept Comp Sci, Yusong Gu, 373-1 Kusong Dong,Taejon 305701, South Korea Korea Adv Inst Sci & Technol 373-1 Kusong Dong Taejon South Korea 305701
Citazione:
H.J. Park e H.S. Yang, "Invariant object detection based on evidence accumulation and Gabor features", PATT REC L, 22(8), 2001, pp. 869-882

Abstract

In this paper. we propose an invariant object detection method based on evidence accumulation and the Gabor transforms feature. In contrast to conventional evidence accumulation methods, the proposed method uses Gabor transform features to detect object parts. Experimental results prove that our algorithm robustly detects arbitrary shaped objects in cluttered environmentswith invariance to translation, rotation, scaling and small deformation. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 19:48:02