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Volumn 202, Issue 1, 2009, Pages 9-18

Evaluation of the SIFT object recognition method in mobile robots

Author keywords

Computer Vision; Mobile Robots; Object Recognition

Indexed keywords

MOBILE ROBOTS; OBJECT RECOGNITION;

EID: 72749100957     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-061-2-9     Document Type: Conference Paper
Times cited : (15)

References (13)
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    • Lepetit, V.1    Pilet, J.2    Fua, P.3
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    • Local feature view clustering for 3d object recognition
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    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
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    • Why is real-world visual object recognition hard?
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    • N. Pinto, D. D. Cox, and J. J. Dicarlo. Why is real-world visual object recognition hard? PLoS Computational Biology, 4(1):151-156, January 2008.
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    • Pinto, N.1    Cox, D.D.2    Dicarlo, J.J.3
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    • A tale of two object recognition methods for mobile robots
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    • A. Ramisa, S. Vasudevan, D. Scaramuzza, R. L. de Ḿantaras, and R. Siegwart. A tale of two object recognition methods for mobile robots. In A. Gasteratos, M. Vincze, and J. K. Tsotsos, editors, ICVS, volume 5008 of Lecture Notes in Computer Science, pages 353-362. Springer, 2008.
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    • Ramisa, A.1    Vasudevan, S.2    Scaramuzza, D.3    De Ḿantaras, R.L.4    Siegwart, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.