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Volumn 5815 LNCS, Issue , 2009, Pages 174-183

Bio-inspired stereo vision system with silicon retina imagers

Author keywords

[No Author keywords available]

Indexed keywords

AREA-BASED; ASYNCHRONOUS DATA; BIO-INSPIRED; DYNAMIC RANGE; FEATURE-BASED; HIGH TEMPORAL RESOLUTION; HUMAN VISION SYSTEMS; IMAGERS; LIGHTING CONDITIONS; SIDE IMPACT; SILICON RETINA; STEREO MATCHING ALGORITHM; STEREO VISION SYSTEM;

EID: 71549126841     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04667-4_18     Document Type: Conference Paper
Times cited : (56)

References (12)
  • 4
    • 71549137352 scopus 로고    scopus 로고
    • Low-Level Stereo Matching using Event-based Silicon Retinas
    • ETH Zürich
    • Hess, P.: Low-Level Stereo Matching using Event-based Silicon Retinas. In: Semesterarbeit am Institut für Neuroinformatik, ETH Zürich (2006)
    • (2006) Semesterarbeit am Institut für Neuroinformatik
    • Hess, P.1
  • 7
    • 0023855840 scopus 로고
    • A silicon model of early visual processing
    • Mead, C., Mahowald, M.: A silicon model of early visual processing. Neural Networks Journal 1(1), 91-97 (1988)
    • (1988) Neural Networks Journal , vol.1 , Issue.1 , pp. 91-97
    • Mead, C.1    Mahowald, M.2
  • 8
    • 0036537472 scopus 로고    scopus 로고
    • A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
    • Scharstein, D., Szeliski, R.: A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. International Journal of Computer Vision 47(1- 3), 7-42 (2002)
    • (2002) International Journal of Computer Vision , vol.47 , Issue.1-3 , pp. 7-42
    • Scharstein, D.1    Szeliski, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.