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Volumn , Issue , 2007, Pages 157-164

Quantitative evaluation of feature extractors for visual SLAM

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE MATCHING; INVARIANCE; MATHEMATICAL TRANSFORMATIONS;

EID: 34548723423     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2007.52     Document Type: Conference Paper
Times cited : (50)

References (17)
  • 2
    • 1542285823 scopus 로고    scopus 로고
    • Lucas-Kanade 20 years on: A unifying framework
    • February
    • S. Baker and I. Matthews. Lucas-Kanade 20 years on: A unifying framework. International Journal of Computer Vision, 56(3):221-255, February 2004.
    • (2004) International Journal of Computer Vision , vol.56 , Issue.3 , pp. 221-255
    • Baker, S.1    Matthews, I.2
  • 10
    • 33745177230 scopus 로고    scopus 로고
    • School of Computer Science and Software Engineering, The University of Western Australia, Online, Available
    • P. D. Kovesi. MATLAB and Octave functions for computer vision and image processing. School of Computer Science and Software Engineering, The University of Western Australia. [Online], Available: http://www.csse.uwa.edu.au/~pk/ research/matlabfns/.
    • MATLAB and Octave functions for computer vision and image processing
    • Kovesi, P.D.1
  • 11
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. 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.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.