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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4029 LNAI, Issue , 2006, Pages 850-859

Keypoints derivation for object class detection with SIFT algorithm

(2) Slot, Krzysztof a,b Kim, Hyongsuk c

a LODZ UNIVERSITY OF TECHNOLOGY (Poland)

b Wyzsza Szkola Humanistyczno Ekonomiczna w Lodzi (Poland)

c Chonbuk National University (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; IMAGE ANALYSIS; INFORMATION RETRIEVAL; OBJECT ORIENTED PROGRAMMING;

CLUSTERING; KEYPOINTS DERIVATION; OBJECT CLASS DETECTION; SIFT ALGORITHM;

OBJECT RECOGNITION;

EID: 33746257668 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/11785231_89 Document Type: Conference Paper

Times cited : (7)

References (9)

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- Lowe, D.¹

2
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4
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5
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- Object class recognition by unsupervised scale-invariant learning
- Madison, Wisconsin
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6
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- Object recognition with many local features
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7
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- Object class recognition using multiple layer boosting with heterogeneous features
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8
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9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.