Publications of the MIA Group

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2006 >> 2005 >> 2004 >> 2003 >> 2002 >> 2001
1. M. Breuß, M. Welk:
   Staircasing in Semidiscrete Stabilised Inverse Diffusion Algorithms.
   Technical Report No. 165, Department of Mathematics, Saarland University, Saarbrücken, Germany, January 2006.
   
2. T. Brox, A. Bruhn, J. Weickert:
   Variational Motion Segmentation with Level Sets.
   In H. Bischof, A. Leonardis, A. Pinz (Eds.): Computer Vision - ECCV 2006. Lecture Notes in Computer Science, Springer, Berlin, 2006, to appear.
   
3. M. Welk, J. Weickert, G. Steidl:
   From tensor-driven diffusion to anisotropic wavelet shrinkage.
   In H. Bischof, A. Leonardis, A. Pinz (Eds.): Computer Vision - ECCV 2006. Lecture Notes in Computer Science, Springer, Berlin, 2006, to appear.
   
4. B. Burgeth, N. Papenberg, A. Bruhn, M. Welk, J. Weickert:
   Mathematical Morphology for Tensor Data Induced by the Loewner Ordering in Higher Dimensions.
   Signal Processing, special issue "Tensor Signal Processing", accepted.
   Revised version of Technical Report No. 161, Department of Mathematics, Saarland University, Saarbrücken, Germany, December 2005.
   
5. M. Welk, J. Weickert, F. Becker, C. Schnörr, C. Feddern, B. Burgeth:
   Median and related local filters for tensor-valued images.
   Signal Processing, special issue Tensor Signal Processing, accepted.
   Revised version of Technical Report No. 135, Department of Mathematics, Saarland University, Saarbrücken, Germany, April 2005.
   
6. M. Breuß, M. Welk:
   A conservative shock filter model for the numerical approximation of conservation laws.
   Applied Mathematics Letters, accepted.
   Revised version of Technical Report No. 157, Department of Mathematics, Saarland University, Saarbrücken, Germany, November 2005.
   
7. C. Feddern, J. Weickert, B. Burgeth, M. Welk:
   Curvature-driven PDE methods for matrix-valued images.
   International Journal of Computer Vision, 2006, to appear.
   Revised version of Technical Report No. 104, Department of Mathematics, Saarland University, Saarbrücken, Germany, April 2004.
   
8. J. Weickert, H. Hagen (Eds.):
   Visualization and Processing of Tensor Fields.
   Springer, Berlin, 2006.
   
9. T. Brox, R. van den Boomgaard, F. Lauze, J. van de Weijer, J. Weickert, P. Mrázek, P. Kornprobst:
   Adaptive structure tensors and their applications.
   In J. Weickert, H. Hagen (Eds.): Visualization and Processing of Tensor Fields. Springer, Berlin, 2006.
   Revised version of Technical Report No. 141, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
   
10. B. Burgeth, M. Welk, Ch. Feddern, J. Weickert:
    Mathematical Morphology on Tensor Data Using the Loewner Ordering.
    In J. Weickert, H. Hagen (Eds.): Visualization and Processing of Tensor Fields. Mathematics and Visualization, 357-367, Springer, Berlin, 2006.
    Revised version of Technical Report No. 160, Department of Mathematics, Saarland University, Saarbrücken, Germany, December 2005.
    
11. J. Weickert, M. Welk:
    Tensor field interpolation with PDEs.
    In J. Weickert, H. Hagen (Eds.): Visualization and Processing of Tensor Fields. Springer, Berlin, 2006.
    Revised version of Technical Report No. 142, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
    
12. J. Weickert, C. Feddern, M. Welk, B. Burgeth, T. Brox:
    PDEs for tensor image processing.
    In J. Weickert, H. Hagen (Eds.): Visualization and Processing of Tensor Fields. Springer, Berlin, 2006.
    Revised version of Technical Report No. 143, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
    
13. M. Welk, C. Feddern, B. Burgeth, J. Weickert:
    Tensor median filtering and M-smoothing.
    In J. Weickert, H. Hagen (Eds.): Visualization and Processing of Tensor Fields. Springer, Berlin, 2006.
    
14. J. Weickert, G. Steidl, P. Mrázek, M. Welk, T. Brox:
    Diffusion filters and wavelets: What can they learn from each other?
    In N. Paragios, Y. Chen, O. Faugeras (Eds.): Handbook of Mathematical Models in Computer Vision. Springer, New York, 2006.
    Also available as Preprint No. 77, DFG Priority Programme 1114, University of Bremen, Germany, January 2005.
    
2006 >> 2005 >> 2004 >> 2003 >> 2002 >> 2001
15. A. Bruhn, J. Weickert, T. Kohlberger, C. Schnörr:
    A multigrid platform for real-time motion computation with discontinuity-preserving variational methods.
    International Journal of Computer Vision, accepted.
    Revised version of Technical Report No. 136, Department of Mathematics, Saarland University, Saarbrücken, Germany, May 2005.
    

16. B. Burgeth, A. Bruhn, S. Didas, J. Weickert, M. Welk:
    Morphology for Tensor Data: Ordering versus PDE-Based Approach.
    Technical Report No. 162, Department of Mathematics, Saarland University, Saarbrücken, Germany, December 2005, submitted September 2005
    
17. B. Burgeth, S. Didas, J. Weickert:
    The Bessel scale-space.
    In O. F. Olsen, L. Florack, A. Kuijper (Eds.): Deep Structure, Singularities, and Computer Vision. Lecture Notes in Computer Science, Vol. 3753, 84 - 95, Springer, Berlin, 2005.
18. S. Didas, P. Mrázek, J. Weickert:
    Energy-based image simplification with nonlocal data and smoothness terms.
    Preprint No. 136, Series DFG-SPP 1114, Department of Mathematics, University of Bremen, Germany, November 2005.
19. M. Breuß, J. Weickert:
    A shock-capturing algorithm for the differential equations of dilation and erosion.
    Technical Report No. 153, Department of Mathematics, Saarland University, Saarbrücken, Germany, September 2005.
    

20. J. Weickert, A. Bruhn, T. Brox, N. Papenberg:
    A survey on variational optic flow methods for small displacements.
    Technical Report No. 152, Department of Mathematics, Saarland University, Saarbrücken, Germany, September 2005, submitted May 2005.
    

21. M. Welk, J. Weickert, I. Galić:
    Theoretical foundations for 1-D shock filtering.
    Technical Report No. 150, Department of Mathematics, Saarland University, Saarbrücken, Germany, September 2005.
    

22. P. Mrázek, J. Weickert, G. Steidl:
    Diffusion-inspired shrinkage functions and stability results for wavelet denoising.
    International Journal of Computer Vision, Vol. 64, No. 2/3, 171-186, Sept. 2005.
    

23. T. Brox, B. Rosenhahn, J. Weickert:
    Three-dimensional shape knowledge for joint image segmentation and pose estimation.
    In W. Kropatsch, R. Sablatnig, A. Hanbury (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 3663, 109-116, Springer, Berlin, 2005.
    

24. S. Didas, J. Weickert, B. Burgeth:
    Stability and local feature enhancement of higher order nonlinear diffusion filtering.
    In W. Kropatsch, R. Sablatnig, A. Hanbury (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 3663, 451-458, Springer, Berlin, 2005.
    

25. B. Rosenhahn, U. Kersting, D. Smith, J. Gurney, T. Brox, R. Klette:
    A system for marker-less human motion estimation.
    In W. Kropatsch, R. Sablatnig, A. Hanbury (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 3663, 230-237, Springer, Berlin, 2005.
    Awarded the DAGM 2005 Best Paper Award (Main Prize).
    

26. N. Slesareva, A. Bruhn, J. Weickert:
    Optic flow goes stereo: a variational method for estimating discontinuity-preserving dense disparity maps.
    In W. Kropatsch, R. Sablatnig, A. Hanbury (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 3663, 33-40, Springer, Berlin, 2005.
    Awarded a DAGM 2005 Paper Prize.
    

27. M. Welk, D. Theis, J. Weickert:
    Variational deblurring of images with uncertain and spatially variant blurs.
    In W. Kropatsch, R. Sablatnig, A. Hanbury (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 3663, 485-492, Springer, Berlin, 2005.
    

28. T. Kohlberger, C. Schnörr, A. Bruhn, J. Weickert:
    Domain decomposition for variational optical flow computation..
    IEEE Transactions in Image Processing, Vol. 14, No. 8, 1125-1137, August 2005.
    

29. A. Bürgel, M. Breuß, T. Sonar, T. Brox, J. Weickert:
    Numerical aspects of TV flow.
    Numerical Algorithms, in press. Technical Report No. 148, Department of Mathematics, Saarland University, Saarbrücken, Germany, August 2005.
    

30. B. Rosenhahn, U. Kersting, L. He, A. Smith, T. Brox, R. Klette, H.-P. Seidel:
    A silhouette based human motion tracking system.
    Technical Report No. 164, Centre for Imaging Technology and Robotics, University of Auckland, New Zealand, 2005.
    

31. P. Mrázek, J. Weickert:
    From two-dimensional nonlinear diffusion to coupled Haar wavelet shrinkage.
    Preprint No. 132, DFG Priority Programme 1114, University of Bremen, Germany, August 2005.
    

32. B. Rosenhahn, T. Brox, J. Weickert:
    Three-dimensional shape knowledge for joint image segmentation and pose tracking.
    Technical Report No. 163, Centre for Imaging Technology and Robotics, University of Auckland, New Zealand, 2005.
    

33. I. Galić, J. Weickert, M. Welk, A. Bruhn, A. Belyaev, H.-P. Seidel:
    Towards PDE-based image compression.
    In N. Paragios, O. Faugeras, T. Chan, C. Schnörr (Eds.): Variational, Geometric, and Level Set Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3752, Springer, Berlin, 37-48, 2005.
    

34. T. Brox, M. Rousson, R. Deriche, J. Weickert:
    Colour, texture, and motion in level set based segmentation and tracking.
    Technical Report No. 147, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
    

35. T. Brox, J. Weickert:
    Level set segmentation with multiple regions.
    Technical Report No. 145, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
    

36. A. Bruhn, J. Weickert:
    Towards ultimate motion estimation: Combining highest accuracy with real-time performance.
    In Proc. ICCV 2005, Vol. 1, 749-755, IEEE Computer Society Press, 2005.
    

37. T. Brox, J. Weickert:
    A TV flow based local scale estimate and its application to texture discrimination.
    Journal of Visual Communication and Image Representation, 2005, to appear.
    Revised version of Technical Report No. 134, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
    

38. T. Kohlberger, C. Schnörr, A. Bruhn, J. Weickert:
    Domain decomposition for nonlinear problems: a control-theoretic approach..
    Technical Report 2005/3, Computer Science Series, University of Mannheim, April 2005.
    

39. A. Bruhn, J. Weickert, C. Feddern, T. Kohlberger, C. Schnörr:
    Variational optic flow computation in real-time.
    IEEE Transactions in Image Processing, Vol. 14, No. 5, 608-615, May 2005.
    Revised version of Technical Report No. 89, Department of Mathematics, Saarland University, Saarbrücken, Germany, June 2003.
    

40. N. Papenberg, A. Bruhn, T. Brox, S. Didas, J. Weickert:
    Highly accurate optic flow computation with theoretically justified warping.
    International Journal of Computer Vision, 2005, to appear.
    Revised version of Technical Report No. 124, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2005.
    

41. B. Burgeth, J. Weickert:
    An explanation for the logarithmic connection between linear and morphological system theory.
    International Journal of Computer Vision, Vol. 64, No. 2/3, 157-169, Sept. 2005.
    Revised version of Technical Report No. 95, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2003.
    

42. B. Burgeth, N. Papenberg, A. Bruhn, M. Welk, C. Feddern, J. Weickert:
    Mathematical morphology based on the Loewner ordering for tensor data.
    In C. Ronse, L. Najman, E. Decencière (Eds.): Mathematical Morphology: 40 Years On. Computational Imaging and Vision, Vol. 30, Springer, Dordrecht, 407–418, 2005.
    

43. M. Welk, J. Weickert:
    Semidiscrete and discrete well-posedness of shock filtering.
    In C. Ronse, L. Najman, E. Decencière (Eds.): Mathematical Morphology: 40 Years On. Computational Imaging and Vision, Vol. 30, Springer, Dordrecht, 311–320, 2005.
    

44. R. Kimmel, N. Sochen, J. Weickert (Eds.):
    Scale-Space and PDE Methods in Computer Vision.
    Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 2005.
    

45. M. Breuss, T. Brox, T. Sonar, J. Weickert:
    Stabilised nonlinear inverse diffusion for approximating hyperbolic PDEs.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 536-547, 2005.
    

46. A. Bruhn, J. Weickert, T. Kohlberger, C. Schnörr:
    Discontinuity-preserving computation of variational optic flow in real-time.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 279-290, 2005.
    

47. B. Burgeth, S. Didas, J. Weickert:
    Relativistic scale-spaces.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 2005.
    

48. S. Didas, B. Burgeth, A. Imiya, J. Weickert:
    Regularity and scale-space properties of fractional high order linear filtering.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 2005.
    

49. G. Steidl, S. Didas, J. Neumann:
    Relations between higher order TV regularization and support vector regression.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 2005.
    

50. M. Welk, F. Becker, C. Schnörr, J. Weickert:
    Matrix-valued filters as convex programs.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 204–216, 2005.
    

51. M. Welk, A. Bergmeister, J. Weickert:
    Denoising of audio data by nonlinear diffusion.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 598–609, 2005.
    

52. M. Welk, D. Theis, T. Brox, J. Weickert:
    PDE-based deconvolution with forward-backward diffusivities and diffusion tensors.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 585–597, 2005.
    

53. M. Welk, J. Weickert, G. Steidl:
    A four-pixel scheme for singular differential equations.
    In R. Kimmel, N. Sochen, J. Weickert (Eds.): Scale-Space and PDE Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 3459, Springer, Berlin, 610–621, 2005.
    

54. R. Klette, R. Kozera, L. Noakes, J. Weickert (Eds.):
    Geometric Properties from Incomplete Data.
    Springer, Dordrecht, 2005, to appear.
    

55. A. Bruhn, J. Weickert:
    A confidence measure for variational optic flow methods.
    In R. Klette, R. Kozera, L. Noakes, J. Weickert (Eds.): Geometric Properties from Incomplete Data. Springer, Dordrecht, 2005, to appear.
    Revised version of Technical Report No. 106, Department of Mathematics, Saarland University, Saarbrücken, Germany, July 2004.
    

56. P. Mrázek, J. Weickert, A. Bruhn:
    On robust estimation and smoothing with spatial and tonal kernels.
    In R. Klette, R. Kozera, L. Noakes, J. Weickert (Eds.): Geometric Properties from Incomplete Data. Springer, Dordrecht, 2005, to appear.
    Revised version of Preprint No. 51, DFG Priority Programme 1114, University of Bremen, Germany, June 2004.
    

57. A. Bruhn, J. Weickert, C. Schnörr:
    Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods.
    International Journal of Computer Vision, Vol. 61, No. 3, 211-231, February/March 2005.
    
    2006 >> 2005 >> 2004 >> 2003 >> 2002 >> 2001

58. T. Brox, J. Weickert, B. Burgeth, P. Mrázek:
    Nonlinear structure tensors.
    Image and Vision Computing, to appear.
    Revised version of Technical Report No. 113, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2004.
    
59. T. Brox, J. Weickert:
    Level set based image segmentation with multiple regions.
    In C. E. Rasmussen, H. H. Bülthoff, M. A. Giese, B. Schölkopf (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 3175, Springer, Berlin, 415-423, 2004.
    
60. G. Steidl, J. Weickert, T. Brox, P. Mrázek and M. Welk:
    On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs.
    SIAM Journal on Numerical Analysis, Vol. 42, No. 2, 686-713, 2004.
    An extended version appeared as Technical Report No. 94, Department of Mathematics, Saarland University, Saarbrücken, Germany, August 2003.
    
61. T. Brox, A. Bruhn, N. Papenberg, J. Weickert:
    High accuracy optical flow estimation based on a theory for warping.
    In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004. Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 25-36, 2004.
    Awarded the "Longuet-Higgins Prize" by the ECCV (Best Paper Award).
    
62. T. Brox, J. Weickert:
    A TV flow based local scale measure for texture discrimination.
    In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004. Lecture Notes in Computer Science, Vol. 3022, Springer, Berlin, 578-590, 2004.
    
63. B. Burgeth, M. Welk, C. Feddern, J. Weickert:
    Morphological operations on matrix-valued images.
    In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004. Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 155-167, 2004.
    
64. T. Kohlberger, C. Schnörr, A. Bruhn, J. Weickert:
    Parallel variational motion estimation by domain decomposition and cluster computing..
    In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004. Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 205-216, 2004.
    
65. A. Bruhn, T. Jakob, M. Fischer, T. Kohlberger, J. Weickert, U. Brüning, C. Schnörr:
    High performance cluster computing with 3-D nonlinear diffusion filters.
    Real-Time Imaging, Vol. 10, No. 1, 41-51, 2004.
    Revised version of Technical Report No. 87, Department of Mathematics, Saarland University, Saarbrücken, Germany, 2003.
    
66. N. Papenberg, A. Bruhn, T. Brox, J. Weickert:
    Numerical justification for multiresolution optical flow computation.
    In L. Alvarez (Ed.): IWCVIA '03: International Workshop on Computer Vision and Image Analysis. Vol. 0026 of Cuadernos del Instituto Universitario de Ciencias y Tecnologias Ciberneticas, University of Las Palmas de Gran Canaria, Spain, 7-12, Feb. 2004.
    
67. J. Weickert, A. Bruhn, N. Papenberg, T. Brox:
    Variational optic flow computation: From continuous models to algorithms.
    In L. Alvarez (Ed.): IWCVIA '03: International Workshop on Computer Vision and Image Analysis. Vol. 0026 of Cuadernos del Instituto Universitario de Ciencias y Tecnologias Ciberneticas, University of Las Palmas de Gran Canaria, Spain, 1-6, Feb. 2004.
    
2006 >> 2005 >> 2004 >> 2003 >> 2002 >> 2001
68. C. Feddern, J. Weickert, B. Burgeth:
    Level-set methods for tensor-valued images.
    In O. Faugeras, N. Paragios (Eds.): Proc. Second IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision. Nice, France, 65-72. INRIA, Oct. 2003.
    
69. J. Weickert, G. Kühne:
    Fast methods for implicit active contour models.
    In S. Osher, N. Paragios (Eds.): Geometric Level Set Methods in Imaging, Vision and Graphics. Springer, 2003.
    
70. D. Slogsnat, M. Fischer, A. Bruhn, J. Weickert, U. Brüning:
    Low level parallelization of nonlinear diffusion filtering algorithms for cluster computing environments.
    In H. Kosch, L. Böszörményi, H. Hellwagner (Eds.): Euro-Par 2003. Parallel Processing. Lecture Notes in Computer Science, Vol. 2790, Springer, Berlin, 481-490, 2003.
    
71. T. Kohlberger, C. Schnörr, A. Bruhn, J. Weickert:
    Domain decomposition for parallel variational optic flow computation.
    In B. Michaelis, G. Krell (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2781, Springer, Berlin, 196-202, 2003.
    
72. P. Mrázek, J. Weickert:
    Rotationally invariant wavelet shrinkage.
    In B. Michaelis, G. Krell (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2781, Springer, Berlin, 156-163, 2003.
    
73. J. Weickert:
    Coherence-enhancing shock filters.
    In B. Michaelis, G. Krell (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2781, Springer, Berlin, 1-8, 2003.
    
74. M. Welk, C. Feddern, B. Burgeth, J. Weickert:
    Median filtering of tensor-valued images.
    In B. Michaelis, G. Krell (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2781, Springer, Berlin, 17-24, 2003.
    Awarded a DAGM 2003 Paper Prize.
    
75. T. Brox, M. Rousson, R. Deriche, J. Weickert:
    Unsupervised segmentation incorporating colour, texture, and motion.
    In N. Petkov, M. A. Westenberg (Eds.): Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, Vol. 2756, Springer, Berlin, 353-360, 2003.
    
76. A. Bruhn, J. Weickert, C. Feddern, T. Kohlberger and C. Schnörr:
    Real-time optic flow computation with variational methods.
    In N. Petkov, M. A. Westenberg (Eds.): Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, Vol. 2756, Springer, Berlin, 222-229, 2003.
    
77. T. Brox, M. Welk, G. Steidl, J. Weickert:
    Equivalence results for TV diffusion and TV regularisation.
    In L. D. Griffin, M. Lillholm (Eds.): Scale Space Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 2695, Springer, Berlin, 86-100, 2003.
    
78. B. Burgeth, J. Weickert:
    An explanation for the logarithmic connection between linear and morphological system theory.
    In L. D. Griffin, M. Lillholm (Eds.): Scale Space Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 2695, Springer, Berlin, 325-339, 2003.
    
79. P. Mrázek, J. Weickert, G. Steidl:
    Correspondences between wavelet shrinkage and nonlinear diffusion.
    In L. D. Griffin, M. Lillholm (Eds.): Scale Space Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 2695, Springer, Berlin, 101-116, 2003.
    
80. M. Welk:
    Families of generalised morphological scale spaces.
    In L. D. Griffin, M. Lillholm (Eds.): Scale Space Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 2695, Springer, Berlin, 770-784, 2003.
    
81. P. Mrázek, M. Navara:
    Selection of optimal stopping time for nonlinear diffusion filtering.
    International Journal of Computer Vision, Vol. 52 No. 2/3, 189-203, 2003.
    
82. T. Brox, M. Rousson, R. Deriche, J. Weickert:
    Unsupervised segmentation incorporating colour, texture, and motion.
    Technical Report No. 4760, Odyssee, INRIA Sophia-Antipolis, France, 2003.
    
83. M. Rousson, T. Brox, R. Deriche:
    Active unsupervised texture segmentation on a diffusion based feature space.
    Technical Report No. 4695, Odyssée, INRIA Sophia-Antipolis, France, 2003.
    Slightly extended version of the conference paper with the same title,
    Proc. 2003 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Vol. 2, 699-704, Madison, WI, 2003.
    
84. P. Mrázek, J. Weickert, G. Steidl, M. Welk:
    On iterations and scales of nonlinear filters.
    In O. Drbohlav (Ed.): Computer Vision Winter Workshop 2003, Valtice, Czech Republic, 61-66. Czech Pattern Recognition Society, 2003.
    
2006 >> 2005 >> 2004 >> 2003 >> 2002 >> 2001
85. J. Weickert, T. Brox:
    Diffusion and regularization of vector- and matrix-valued images.
    In M. Z. Nashed, O. Scherzer (Eds.): Inverse Problems, Image Analysis, and Medical Imaging. Contemporary Mathematics, Vol. 313, 251-268, AMS, Providence, 2002.
    
86. D. Cremers, F. Tischhäuser, J. Weickert, C. Schnörr:
    Diffusion snakes: introducing statistical shape knowledge into the Mumford--Shah functional.
    International Journal of Computer Vision, Vol. 50, No. 3, 295-313, December 2002.
    
87. E. Meijering, W. Niessen, J. Weickert, M. Viergever:
    Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: results of an in-vitro evaluation.
    Medical Image Analysis, Vol. 6, No. 3, 217-235, September 2002.
    Preprint,
    
88. T. Brox, J. Weickert:
    Nonlinear matrix diffusion for optic flow estimation,
    In L. Van Gool (Ed.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2449, Springer, Berlin, 446-453, 2002.
    
89. A. Bruhn, T. Jakob, M. Fischer, T. Kohlberger, J. Weickert, U. Brüning, C. Schnörr:
    Designing 3-D nonlinear diffusion filters for high performance cluster computing.
    In L. Van Gool (Ed.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2449, Springer, Berlin, 290-297, 2002.
    
90. A. Bruhn, J. Weickert, C. Schnörr:
    Combining the advantages of local and global optic flow methods.
    In L. Van Gool (Ed.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2449, Springer, Berlin, 454-462, 2002.
    Awarded a DAGM 2002 Paper Prize.
    
91. G. Kühne, J. Weickert, M. Beier, W. Effelsberg:
    Fast implicit active contour models.
    In L. Van Gool (Ed.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2449, Springer, Berlin, 133-140, 2002.
    
92. G. Steidl, J. Weickert:
    Relations between soft wavelet shrinkage and total variation denoising.
    In L. Van Gool (Ed.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 2449, Springer, Berlin, 198-205, 2002.
    
93. J. Sporring, W. Niessen, J. Weickert (Eds.):
    Proceedings of the International Workshop on Growth and Motion in 3D Medical Images.
    3D-Lab, University of Copenhagen, Denmark, 2002. ISBN 87-988979-1-8.
    
94. W. Hinterberger, O. Scherzer, C. Schnörr, J. Weickert:
    Analysis of optical flow models in the framework of calculus of variations.
    Numerical Functional Analysis and Optimization, Vol. 23, No. 1/2, 69-89, May 2002
    Revised version of Technical Report No. 8/2001, Computer Science Series, University of Mannheim, Germany, April 2001.
    
95. L. Alvarez, R. Deriche, J. Sánchez, J. Weickert:
    Dense disparity map estimation respecting image derivatives: a PDE and scale-space based approach.
    Journal of Visual Communication and Image Representation, Vol. 13, No. 1/2, 3-21, March/June 2002.
    Revised version of Technical Report No. 3874, ROBOTVIS, INRIA Sophia-Antipolis, France, January 2000.
    [Demo]
    
96. J. Weickert, H. Scharr:
    A scheme for coherence-enhancing diffusion filtering with optimized rotation invariance.
    Journal of Visual Communication and Image Representation, Vol. 13, No. 1/2, 103-118, March/June 2002.
    Revised and shortened version of Technical Report No. 4/2000, Computer Science Series, University of Mannheim, Germany, February 2000.
    
97. W. J. Niessen, K. L. Vincken, J. Weickert, M. A. Viergever:
    Multiscale segmentation of volumetric MR brain images.
    In H. Yan (Ed.): Signal Processing for Magnetic Resonance Imaging and Spectroscopy, Marcel Dekker, New York, 209-238, 2002.
    
2006 >> 2005 >> 2004 >> 2003 >> 2002 >> 2001
98. J. Weickert, C. Schnörr:
    A theoretical framework for convex regularizers in PDE-based computation of image motion.
    International Journal of Computer Vision, Vol. 45, No. 3, 245-264, December 2001.
    Revised version of Technical Report No. 13/2000, Computer Science Series, University of Mannheim, Germany, June 2000.
    

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