메뉴 건너뛰기




Volumn 65, Issue 3, 2005, Pages 131-145

Motion recovery by integrating over the joint image manifold

Author keywords

Epipolar geometry estimation; Fundamental matrix estimation; Integrated maximum likelihood; Motion recovery

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; ESTIMATION; IMAGE ANALYSIS; MATRIX ALGEBRA; MOTION COMPENSATION;

EID: 29344434750     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-005-3673-2     Document Type: Review
Times cited : (3)

References (35)
  • 1
    • 0035546310 scopus 로고    scopus 로고
    • Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola
    • Ahn, S.J., Rauh, W., and Warnecke, H.J. 2001. Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola. Pattern Recognition, 34(12):2283-2303.
    • (2001) Pattern Recognition , vol.34 , Issue.12 , pp. 2283-2303
    • Ahn, S.J.1    Rauh, W.2    Warnecke, H.J.3
  • 2
    • 84944226679 scopus 로고    scopus 로고
    • Integrating local affine into global projective images in the joint image space
    • Anandan, P. and Avidan, S. 2000. Integrating local affine into global projective images in the joint image space. In European Conference on Computer Vision, pp. 907-921.
    • (2000) European Conference on Computer Vision , pp. 907-921
    • Anandan, P.1    Avidan, S.2
  • 3
    • 0002464001 scopus 로고    scopus 로고
    • Integrated likelihood methods for eliminating nuisance parameters
    • Berger, J., Liseo, B., and Wolpert, R. 1999. Integrated likelihood methods for eliminating nuisance parameters. Statistical Science, 14(1):1-28.
    • (1999) Statistical Science , vol.14 , Issue.1 , pp. 1-28
    • Berger, J.1    Liseo, B.2    Wolpert, R.3
  • 5
    • 33747353205 scopus 로고
    • What can be seen in three dimensions with an uncalibrated stereo rig?
    • Faugeras, O.D. 1992. What can be seen in three dimensions with an uncalibrated stereo rig? In European Conference on Computer Vision, pp. 563-578.
    • (1992) European Conference on Computer Vision , pp. 563-578
    • Faugeras, O.D.1
  • 10
    • 84947592350 scopus 로고
    • Estimation of relative camera positions for uncalibrated cameras
    • Hartley, R.I. 1992. Estimation of relative camera positions for uncalibrated cameras. In European Conference on Computer Vision, pp. 579-587.
    • (1992) European Conference on Computer Vision , pp. 579-587
    • Hartley, R.I.1
  • 14
    • 0028428472 scopus 로고
    • Statistical-analysis of geometric computation
    • Kanatani, K. 1994. Statistical-analysis of geometric computation. Comp. Vis. Graph. Im. Proc., 59(3):286-306.
    • (1994) Comp. Vis. Graph. Im. Proc. , vol.59 , Issue.3 , pp. 286-306
    • Kanatani, K.1
  • 15
    • 0028400154 scopus 로고
    • Statistical bias of conic fitting and renormalization
    • Kanatani, K. 1994. Statistical bias of conic fitting and renormalization. IEEE Trans. Patt. Anal. Mach. Intell. 16(3):320-326.
    • (1994) IEEE Trans. Patt. Anal. Mach. Intell. , vol.16 , Issue.3 , pp. 320-326
    • Kanatani, K.1
  • 19
    • 0034206736 scopus 로고    scopus 로고
    • Heteroscedastic regression in computer vision: Problems with bilinear constraint
    • Leedan, Y. and Meer, P. 2000. Heteroscedastic regression in computer vision: Problems with bilinear constraint. International Journal of Computer Vision, 37(2):127-150.
    • (2000) International Journal of Computer Vision , vol.37 , Issue.2 , pp. 127-150
    • Leedan, Y.1    Meer, P.2
  • 20
    • 0001596784 scopus 로고
    • A computer algorithm for reconstructing a scene from two projections
    • Longuet-Higgins, H.C. 1981. A computer algorithm for reconstructing a scene from two projections. Nature, 293:133-135.
    • (1981) Nature , vol.293 , pp. 133-135
    • Longuet-Higgins, H.C.1
  • 25
  • 27
    • 0019999307 scopus 로고
    • Fitting conic sections to 'very scattered' data: An iterative refinement of the bookstein algorithm
    • Sampson, P.D. 1982. Fitting conic sections to 'very scattered' data: An iterative refinement of the bookstein algorithm. Computer Vision, Graphics, and Image Processing, 18:97-108.
    • (1982) Computer Vision, Graphics, and Image Processing , vol.18 , pp. 97-108
    • Sampson, P.D.1
  • 31
    • 0036804760 scopus 로고    scopus 로고
    • Bayesian model estimation and selection for epipolar geometry and generic manifold fitting
    • Torr, P.H.S. 2002. Bayesian model estimation and selection for epipolar geometry and generic manifold fitting. International Journal of Computer Vision, 50(1):35-61.
    • (2002) International Journal of Computer Vision , vol.50 , Issue.1 , pp. 35-61
    • Torr, P.H.S.1
  • 32
    • 84957665085 scopus 로고    scopus 로고
    • Concerning bayesian motion segmentation, model averaging, matching and the trifocal tensor
    • Torr, P.H.S. and Zisserman, A. 1998. Concerning bayesian motion segmentation, model averaging, matching and the trifocal tensor. In European Conference on Computer Vision, pp. 511-527.
    • (1998) European Conference on Computer Vision , pp. 511-527
    • Torr, P.H.S.1    Zisserman, A.2
  • 34
    • 34250872904 scopus 로고
    • Motion and structure from two perspective views: Algorithms, error analysis, and error estimation
    • Weng, J., Huang, T.S., and Ahuja, N. 1989. Motion and structure from two perspective views: Algorithms, error analysis, and error estimation. IEEE Trans. Patt. Anal. Mach. Intell. 11(5):451-476.
    • (1989) IEEE Trans. Patt. Anal. Mach. Intell. , vol.11 , Issue.5 , pp. 451-476
    • Weng, J.1    Huang, T.S.2    Ahuja, N.3
  • 35
    • 0035332903 scopus 로고    scopus 로고
    • A Bayesian method for fitting parametric and nonparametric models to noisy data
    • Werman, M. and Keren, D. 2001. A Bayesian method for fitting parametric and nonparametric models to noisy data. IEEE Trans. Patt. Anal. Mach. Intell. 23(5):528-534.
    • (2001) IEEE Trans. Patt. Anal. Mach. Intell. , vol.23 , Issue.5 , pp. 528-534
    • Werman, M.1    Keren, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.