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Volumn 7, Issue 1, 2013, Pages 69-82

A novel unsupervised approach for multilevel image clustering from unordered image collection

Author keywords

imaging sample space (ISS); multilevel image clustering; unordered image collection

Indexed keywords

INFORMATION THEORY;

EID: 84875592452     PISSN: 20952228     EISSN: 20952236     Source Type: Journal    
DOI: 10.1007/s11704-013-1266-8     Document Type: Article
Times cited : (12)

References (29)
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    • Modeling the shape of the scene: a holistic representation of the spatial envelope
    • Oliva A, Torralba A. Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision, 2001, 42(3): 145-175.
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    • Oliva, A.1    Torralba, A.2
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe D G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 2004, 60(2): 91-110.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 18
    • 34250817411 scopus 로고    scopus 로고
    • Robust multi-view feature matching from multiple unordered views
    • Yao J, Cham W K. Robust multi-view feature matching from multiple unordered views. Pattern Recognition, 2007, 40(11): 3081-3099.
    • (2007) Pattern Recognition , vol.40 , Issue.11 , pp. 3081-3099
    • Yao, J.1    Cham, W.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.