메뉴 건너뛰기




Volumn 2352, Issue , 2002, Pages 900-914

Finding the largest unambiguous component of stereo matching

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL TO NOISE RATIO; STABILITY; STEREO IMAGE PROCESSING;

EID: 84949968104     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47977-5_59     Document Type: Conference Paper
Times cited : (61)

References (32)
  • 1
    • 1842810710 scopus 로고
    • Towards the automation of binocular depth perception (AUTOMAP-1)
    • Julesz, B.: Towards the automation of binocular depth perception (AUTOMAP-1). In: IFIPS Congress, Munich (1962)
    • (1962) IFIPS Congress, Munich
    • Julesz, B.1
  • 2
    • 0034223827 scopus 로고    scopus 로고
    • A theory of shape by shape carving
    • Kutulakos, K.N., Seitz, S.M.: A theory of shape by shape carving. IJCV 38 (2000) 199–218
    • (2000) IJCV , vol.38 , pp. 199-218
    • Kutulakos, K.N.1    Seitz, S.M.2
  • 3
    • 0034844251 scopus 로고    scopus 로고
    • A characterization of inherent stereo ambiguities
    • Baker, S., Sim, T., Kanade, T.: A characterization of inherent stereo ambiguities. In: Proc ICCV. (2001) 428–435
    • (2001) Proc ICCV , pp. 428-435
    • Baker, S.1    Sim, T.2    Kanade, T.3
  • 6
    • 0024173032 scopus 로고
    • The trinocular general support algorithm: A threecamera stereo algorithm for overcoming binocular matching errors
    • Stewart, C.V., Dyer, C.R.: The trinocular general support algorithm: A threecamera stereo algorithm for overcoming binocular matching errors. In: Proc ICCV. (1988) 134–138
    • (1988) Proc ICCV , pp. 134-138
    • Stewart, C.V.1    Dyer, C.R.2
  • 7
    • 0008856947 scopus 로고
    • Occlusion detectable stereo using a camera matrix
    • Satoh, K., Ohta, Y.: Occlusion detectable stereo using a camera matrix. In: Proc ACCV. (1995) 331–335
    • (1995) Proc ACCV , pp. 331-335
    • Satoh, K.1    Ohta, Y.2
  • 9
    • 0022294153 scopus 로고
    • PMF: A stereo correspondence algorithm using a disparity gradient limit
    • Pollard, S.B., Mayhew, J.E.W., Frisby, J.P.: PMF: A stereo correspondence algorithm using a disparity gradient limit. Perception 14 (1985) 449–470
    • (1985) Perception , vol.14 , pp. 449-470
    • Pollard, S.B.1    Mayhew, J.2    Frisby, J.P.3
  • 10
    • 0034224992 scopus 로고    scopus 로고
    • A cooperative algorithm for stereo matching and occlusion detection
    • Zitnick, C.L., Kanade, T.: A cooperative algorithm for stereo matching and occlusion detection. IEEE Trans PAMI 22 (2000) 675–684
    • (2000) IEEE Trans PAMI , vol.22 , pp. 675-684
    • Zitnick, C.L.1    Kanade, T.2
  • 11
    • 0030213120 scopus 로고    scopus 로고
    • A Bayesian approach to binocular stereopsis
    • Belhumeur, P.N.: A Bayesian approach to binocular stereopsis. IJCV 19 (1996) 237–260
    • (1996) IJCV , vol.19 , pp. 237-260
    • Belhumeur, P.N.1
  • 12
    • 0033356588 scopus 로고    scopus 로고
    • Large occlusion stereo
    • Bobick, A.F., Intille, S.S.: Large occlusion stereo. IJCV 33 (1999) 181–200
    • (1999) IJCV , vol.33 , pp. 181-200
    • Bobick, A.F.1    Intille, S.S.2
  • 13
    • 84945134690 scopus 로고
    • Dense depth map reconstruction: A minimization and regularization approach which preserves discontinuities
    • Robert, L., Deriche, R.: Dense depth map reconstruction: A minimization and regularization approach which preserves discontinuities. In: Proc ICIP. (1992) 123–127
    • (1992) Proc ICIP , pp. 123-127
    • Robert, L.1    Deriche, R.2
  • 14
    • 0001789533 scopus 로고
    • Stochastic stereo matching over scale
    • Barnard, S.T.: Stochastic stereo matching over scale. IJCV 3 (1989) 17–32
    • (1989) IJCV , vol.3 , pp. 17-32
    • Barnard, S.T.1
  • 15
    • 0032092127 scopus 로고    scopus 로고
    • Stereo matching with nonlinear diffusion
    • Scharstein, D., Szeliski, R.: Stereo matching with nonlinear diffusion. IJCV 28 (1998) 155–174
    • (1998) IJCV , vol.28 , pp. 155-174
    • Scharstein, D.1    Szeliski, R.2
  • 16
    • 0030719743 scopus 로고    scopus 로고
    • Disparity component matching for visual correspondence
    • Boykov, Y., Veksler, O., Zabih, R.: Disparity component matching for visual correspondence. In: Proc Conf CVPR. (1997) 470–475
    • (1997) Proc Conf CVPR , pp. 470-475
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 17
    • 84957650547 scopus 로고    scopus 로고
    • Occlusions, discontinuities, and epipolar lines in stereo
    • Ishikawa, H., Geiger, D.: Occlusions, discontinuities, and epipolar lines in stereo. In: ECCV. (1998) 232–248
    • (1998) ECCV , pp. 232-248
    • Ishikawa, H.1    Geiger, D.2
  • 18
    • 0032309503 scopus 로고    scopus 로고
    • A maximum-flow formulation of the n-camera stereo correspondence problem
    • Roy, S., Cox, I.J.: A maximum-flow formulation of the n-camera stereo correspondence problem. In: Proc ICCV. (1998) 492–499
    • (1998) Proc ICCV , pp. 492-499
    • Roy, S.1    Cox, I.J.2
  • 19
    • 0034857389 scopus 로고    scopus 로고
    • Computing visual correspondence with occlusions using graph cuts
    • Kolmogorov, V., Zabih, R.: Computing visual correspondence with occlusions using graph cuts. In: Proc ICCV. (2001) 508–515
    • (2001) Proc ICCV , pp. 508-515
    • Kolmogorov, V.1    Zabih, R.2
  • 20
    • 0024251084 scopus 로고
    • Computation of stereo disparity using regularization
    • March, R.: Computation of stereo disparity using regularization. Pattern Recognition Letters 8 (1988) 181–187
    • (1988) Pattern Recognition Letters , vol.8 , pp. 181-187
    • March, R.1
  • 21
    • 0007198334 scopus 로고
    • A regularization model for stereo vision with controlled continuity
    • March, R.: A regularization model for stereo vision with controlled continuity. Pattern Recognition Letters 10 (1989) 259–263
    • (1989) Pattern Recognition Letters , vol.10 , pp. 259-263
    • March, R.1
  • 23
    • 78651075762 scopus 로고    scopus 로고
    • Distinctiveness maps for image matching
    • Manduchi, R.; Tomasi, C.: Distinctiveness maps for image matching. In: Proc ICIAP. (1999) 26–31
    • (1999) Proc ICIAP , pp. 26-31
    • Manduchi, R.1    Tomasi, C.2
  • 24
    • 0009006952 scopus 로고    scopus 로고
    • Research Report CTU–CMP–2001–25, Center for Machine Perception, Czech Technical University
    • Šára, R.: Sigma-delta stable matching for computational stereopsis. Research Report CTU–CMP–2001–25, Center for Machine Perception, Czech Technical University (2001) [ftp://cmp.felk.cvut.cz/pub/cmp/articles/sara/Sara-TR-2001-25.pdf].
    • (2001) Sigma-Delta Stable Matching for Computational Stereopsis
    • Šára, R.1
  • 25
    • 0020356330 scopus 로고
    • Rehabilitation of a classical notion of Panum's fusional area
    • Krol, J.D., van der Grind, W.A.: Rehabilitation of a classical notion of Panum's fusional area. Perception 11 (1982) 615–619
    • (1982) Perception , vol.11 , pp. 615-619
    • Krol, J.D.1    Van Der Grind, W.A.2
  • 27
    • 84949938394 scopus 로고    scopus 로고
    • Research Report CTU– CMP–2002–03, Center for Machine Perception, Czech Technical University
    • Šára, R.: A fast algorithm for confidently stable matching. Research Report CTU– CMP–2002–03, Center for Machine Perception, Czech Technical University (2002) [ftp://cmp.felk.cvut.cz/pub/cmp/articles/sara/Sara-TR-2002-03.pdf].
    • (2002) A Fast Algorithm for Confidently Stable Matching
    • Šára, R.1
  • 28
    • 0002285373 scopus 로고
    • Towards automatic visual obstacle avoidance
    • Moravec, H.P.: Towards automatic visual obstacle avoidance. In: Proc IJCAI. (1977) 584
    • (1977) Proc IJCAI , pp. 584
    • Moravec, H.P.1
  • 29
    • 0032320765 scopus 로고    scopus 로고
    • Stereo depth estimation: A confidence interval approach
    • Mandelbaum, R., Kamberova, G., Mintz, M.: Stereo depth estimation: a confidence interval approach. In: Proc ICCV. (1998) 503–509
    • (1998) Proc ICCV , pp. 503-509
    • Mandelbaum, R.1    Kamberova, G.2    Mintz, M.3
  • 30
    • 0002448916 scopus 로고
    • Stereo without disparity gradient smoothing: A Bayesian sensor fusion solution
    • Cox, I.J., Hingorani, S., Maggs, B.M., Rao, S.B.: Stereo without disparity gradient smoothing: a Bayesian sensor fusion solution. In: Proc BMVC. (1992) 337–346
    • (1992) Proc BMVC , pp. 337-346
    • Cox, I.J.1    Hingorani, S.2    Maggs, B.M.3    Rao, S.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.