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Volumn 4174 LNCS, Issue , 2006, Pages 617-626

An effective stereo matching algorithm with optimal path cost aggregation

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING; IMAGE ANALYSIS; MAPS; OPTIMIZATION; PATTERN MATCHING;

EID: 33750229823     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11861898_62     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 3
    • 21244444340 scopus 로고    scopus 로고
    • Fast unambiguous stereo matching using reliability-based dynamic programming
    • Gong, M., and Yang, Y-H.: Fast unambiguous stereo matching using reliability-based dynamic programming. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 27 (2005) 998-1003
    • (2005) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.27 , pp. 998-1003
    • Gong, M.1    Yang, Y.-H.2
  • 4
    • 24644470637 scopus 로고    scopus 로고
    • Accurate and efficient stereo processing by semi-global matching and mutual information
    • Hirschmuller, H.: Accurate and efficient stereo processing by semi-global matching and mutual information. Proc. Computer Vision and Pattern Recognition (CVPR 2005), Vol. 2 (2005) 807-814
    • (2005) Proc. Computer Vision and Pattern Recognition (CVPR 2005) , vol.2 , pp. 807-814
    • Hirschmuller, H.1
  • 8
    • 0032309503 scopus 로고    scopus 로고
    • A maximum-flow formulation of the N-camera stereo correspondence problem
    • Roy, S., and Cox, I. J.: A maximum-flow formulation of the N-camera stereo correspondence problem. Proc. Int'l Conf. Computer Vision, (1998) 492-499
    • (1998) Proc. Int'l Conf. Computer Vision , pp. 492-499
    • Roy, S.1    Cox, I.J.2
  • 9
    • 0036537472 scopus 로고    scopus 로고
    • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
    • Scharstein, D., and Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, Vol. 47 (2002) 7-42
    • (2002) International Journal of Computer Vision , vol.47 , pp. 7-42
    • Scharstein, D.1    Szeliski, R.2
  • 12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.