메뉴 건너뛰기




Volumn 6388 LNCS, Issue , 2010, Pages 200-209

Combining image invariant features and clustering techniques for visual place classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; CLUSTERING TECHNIQUES; IMAGE INVARIANT; IMAGECLEF; INVARIANT POINTS; LIGHTING CONDITIONS; ROBOT LOCALIZATION; TRAINING SEQUENCES; VISUAL INFORMATION;

EID: 78650809137     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17711-8_21     Document Type: Conference Paper
Times cited : (1)

References (10)
  • 2
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24(6), 381-395 (1981)
    • (1981) Communications of the ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.A.1    Bolles, R.C.2
  • 4
    • 10044233891 scopus 로고    scopus 로고
    • Object recognition using composed receptive field histograms of higher dimensionality
    • Linde, O., Lindeberg, T.: Object recognition using composed receptive field histograms of higher dimensionality. In: International Conference on Pattern Recognition, vol. 4, pp. 1-6 (2004)
    • (2004) International Conference on Pattern Recognition , vol.4 , pp. 1-6
    • Linde, O.1    Lindeberg, T.2
  • 6
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe, D.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91-110 (2004)
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 7
    • 26444502277 scopus 로고    scopus 로고
    • Ph.D. thesis, Institute of Information and Computer Science, Copenhagen University September
    • Negenborn, R.: Robot Localization and Kalman Filters. Ph.D. thesis, Institute of Information and Computer Science, Copenhagen University (September 2003)
    • (2003) Robot Localization and Kalman Filters
    • Negenborn, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.