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Volumn 7573 LNCS, Issue PART 2, 2012, Pages 788-801

WαSH: Weighted α-shapes for local feature detection

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY SHAPES; HIGH ROBUSTNESS; LOCAL FEATURE; LOCAL FEATURE DETECTORS; MATCHING SCORE; RETRIEVAL APPLICATIONS; SHAPE STABILITY; STANDING PROBLEMS;

EID: 84867856642     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33709-3_56     Document Type: Conference Paper
Times cited : (11)

References (27)
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  • 13
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    • Robust wide-baseline stereo from maximally stable extremal regions
    • Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing 22(10), 761-767 (2004)
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    • Matas, J.1    Chum, O.2    Urban, M.3    Pajdla, T.4
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    • Mikolajczyk, K., Schmid, C.: An Affine Invariant Interest Point Detector. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part I. LNCS, vol. 2350, pp. 128-142. Springer, Heidelberg (2002)
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    • Mikolajczyk, K.1    Schmid, C.2
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    • Building the component tree in quasi-linear time
    • Najman, L., Couprie, M.: Building the component tree in quasi-linear time. IEEE Transactions on Image Processing 15(11), 3531-3539 (2006)
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    • Najman, L.1    Couprie, M.2
  • 23
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.