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Bibliography

1
M. Ashikhmin.
Synthesizing natural textures.
In The proceedings of 2001 ACM Symposium on Interactive 3D Graphics, pages 217-226, 2001.

2
O. Barndorff-Nielsen.
Information and Exponential Families in Statistical Theory.
Wiley: N .Y., 1978.

3
J. R. Bergen and M. S. Landy.
Computational Modeling of Visual Texture Segregation, chapter 17, pages 253-271.
MIT Press, 1991.

4
A. L. Berger, S. D. Pietra, and V. J. D. Pietra.
A maximum entropy approach to natural language processing.
Computational Linguistics, 22(1):39-71, 1996.

5
J. M. Bernardo and A. F. M. Smith.
Bayesian theory.
New York : Wiley, 1993.

6
J. E. Besag.
Spatial interaction and the statistical analysis of lattice systems.
Journal of the Royal Statistical Society, B-36(2):192-236, 1974.

7
J. E. Besag.
On the Statistical Analysis of Dirty Pictures.
Journal of the Royal Statistical Society, B48:259-302, 1986.

8
P. Brodatz.
Textures: A Photographic Album for Artists and Designers.
Dover, New York, 1966.

9
S. Brooks and N. Dodgson.
Self-similarity based texture editing.
In ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2002), volume 21(3), pages 653-656, July 2002.

10
L. G. Brown.
A survey of image registration techniques.
ACM Computing Surveys, 24(4):325-376, 1992.

11
P. J. Burt and E. H. Adelson.
The laplacian pyramid as a compact image code.
IEEE Trans. on Communication, COM-31(NO.4), April 1983.

12
K. R. Castleman.
Digital image processing.
Prentice Hall Press, Upper Saddle River, NJ, USA, 1996.

13
R. Chellappa.
Two Dimensional Discrete Gaussian Markov Random Field Models for Image Processing.
In L. N. Kanal and A. Rosenfeld, editors, Progress in Pattern Recognition, volume 2, pages 79-122. North Holland Pub. Co., 1986.

14
R. Chellappa and S. Chatterjee.
Classification of textures using gaussian markov random fields.
ASSP, 33:959-963, August 1985.

15
C. C. Chen, J. Daponte, and M. Fox.
Fractal Feature Analysis and Classification in Medical Imaging.
IEEE Trans. on Medical Imaging, 8:133-142, 1989.

16
C. K. Chui.
An Introduction to Wavelets.
Academic Press, San Diego, 1992.

17
M. Clerc.
Weak homogeneity for shape from texture.
In Texture 2002 Workshop in conjunction with ICCV 2002, pages 31-34, 2002.

18
F. S. Cohen and D. B. Cooper.
Simple parallel hierarchical and relaxation algorithms for segmenting noncausal markovian random fields.
IEEE Trans. Pattern Anal. Mach. Intell., 9(2):195-219, 1987.

19
A. Criminisi and A. Zisserman.
Shape from texture: Homogeneity revisited.
In BMVC00, 2000.

20
G. R. Cross and A. K. Jain.
Markov Random Field Texture Models.
TransPAMI, 5:25-39, 1983.

21
J. Daugman.
Entropy reduction and decorrelation in visual coding by oriented neural receptive fields.
Transactions on Biomedical Engineering 36, 1:107-114, 1989.

22
J. S. DeBonet.
Multiresolution sampling procedure for analysis and synthesis of texture images.
Computer Graphics, 31(Annual Conference Series):361-368, 1997.

23
H. Derin, H. Elliot, R. Cristi, and D. Geman.
Bayes smoothing algorithm for segmentation of images modelled by markov random field.
IEEE Trans. Pattern Anal. Mach. Intell., 6(6):707-720, 1984.

24
H. Derin and H. Elliott.
Modeling and segmentation of noisy and textured images using gibbs random fields.
IEEE Trans. Pattern Anal. Mach. Intell., 9(1):39-55, 1987.

25
H. Derin and P. A. Kelly.
Discrete-index markov-type random processes.
Proceedings of the IEEE, 77(10):1485-1510, Oct. 1989.

26
I. Drori, D. Cohen-Or, and H. Yeshurun.
Fragment-based image completion.
In ACM Transactions on Graphics, SIGGRAPH 2003, volume 22, i.3, pages 303-312, 2003.

27
R. O. Duda, P. E. Hart, and D. G. Stork.
Pattern Classification.
New York : Wiley, 2nd ed. edition, 2001.

28
A. A. Efros and W. T. Freeman.
Image quilting for texture synthesis and transfer.
In Eugene Fiume, editor, SIGGRAPH 2001, Computer Graphics Proceedings, pages 341-346. ACM Press / ACM SIGGRAPH, 2001.

29
A. A. Efros and T. K. Leung.
Texture synthesis by non-parametric sampling.
In ICCV (2), pages 1033-1038, 1999.

30
I. Fogel and D. Sagi.
Gabor filters as texture discriminator.
BioCyber, 61:102-113, 1989.

31
D. A. Forsyth.
Shape from texture without boundaries.
In ECCV02, page III: 225 ff., 2002.

32
D. Gabor.
Theory of communication.
The Journal of the Institute of Electrical Engineers, 93 (21):429-457, 1946.

33
M. M. Galloway.
Texture analysis using gray level run lengths.
CGIP, 4:172-179, 1975.

34
S. Geman and D. Geman.
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Pattern Analysis and Machine Intelligence, 6(6):721-741, November 1984.

35
G. Gimel'farb, L. Van Gool, and A. Zalesny.
To frame or not to frame in probabilistic texture modelling?
In 17th International Conference on Pattern Recognition (ICPR'04), pages Vol II: 707-711, 2004.

36
G. L. Gimel'farb.
Non-markov gibbs texture model with multiple pairwise pixel interactions.
ICPR, B:591-595, 1996.

37
G. L. Gimel'farb.
Texture modeling with multiple pairwise pixel interactions.
In IEEE Trans. Pattern Anal. Mach. Intell., volume 18, pages 1110-1114, 1996.

38
G. L. Gimel'farb.
Image Texture and Gibbs Random Field, volume 16 of Computational Imaging and Vision.
Kluwer Academic Publishers, 1999.

39
G. L. Gimel'farb.
Characteristic interaction structures in gibbs texture modelling.
In J. Blanc-Talon and D. Popescu, editors, Imaging and Vision Systems: Theory, Assessment and Applications, pages 71-90. Nova Science Publishers: Huntington (N.Y.), 2001.

40
G. L. Gimel'farb and D. Zhou.
Fast synthesis of large-size textures using bunch sampling.
In Proc. Image and Vision Computing New Zealand (IVCNZ 2002), Auckland, New Zealand, pages 215-220, 2002.

41
G. R. Grimmett.
A theorem about random fields.
Bull London Math. Soc., 5:81-84, 1973.

42
J. M. Hammersley and P. Clifford.
Markov field on finite graphs and lattices.
Unpublished, 1971.

43
R. M. Haralick.
Statistical and structural approaches to texture.
In Proc. IEEE, volume 67(5), pages 786-804, 1979.

44
R. M. Haralick, K. Shanmugam, and I. Dinstein.
Textural features for image classification.
IEEE Transactions On Systems, Man, and Cybernetics, 3(6):610-621, November 1973.

45
M. Hassner and J. Sklansky.
The use of Markov Random Fields as Models of Textures.
Computer Graphics and Image Processing, 12:357-370, 1980.

46
D. J. Heeger and J R. Bergen.
Pyramid-based texture analysis/synthesis.
In SIGGRAPH, pages 229-238, 1995.

47
T. Hofmann, J. Puzicha, and J. M. Buhmann.
Unsupervised texture segmentation in a deterministic annealing framework.
IEEE Trans. Pattern Anal. Mach. Intell., 20(8):803-818, 1998.

48
D. Hoiem, R. Sukthankar, H. Schneiderman, and L. Huston.
Object-based image retrieval using the statistical structure of images.
Technical Report IRP-TR-03-13, Intel Research, November 2003.

49
R. Hooke and T. A. Jeeves.
`` direct search'' solution of numerical and statistical problems.
J. ACM, 8(2):212-229, 1961.

50
K. Ikeuchi.
Shape from regular patterns.
Artificial Intelligence, 22:49-75, 1984.

51
A. K. Jain and F. Farrokhnia.
Unsupervised texture segmentation using gabor filters.
Pattern Recognition, 24(12):1167-1186, 1991.

52
E. T. Jaynes.
Where do we stand on maximum entropy.
In The Maximum Entropy Formalism, pages 15-118, 1979.

53
B. Julesz.
Visual Pattern Discrimination.
IRE Transactions on Information Theory, 8:84-92, 1962.

54
B. Julesz.
Textons, the Elements of Texture Perception, and their Interactions.
Nature, 290:91-97, March 1981.

55
B. Julesz, E. N. Gilbert, L. A. Shepp, and H. L. Frisch.
Inability of Humans to Discriminate between Visual Textures that Agree in Second-order Statistics- revisited.
Perception, 2:391-405, 1973.

56
S. Konishi and A. L. Yuille.
Statistical cues for domain specific image segmentation with performance analysis.
In Proceedings of Conference on Computer Vision and Pattern Recognition CVPR 2000, pages 1125-1132, Hilton Head, SC, USA, June 2000. IEEE Computer Society.

57
J. J. Kulikowski, S. Marcelja, and P. Bishop.
Theory of spatial position and spatial frequency relations in the receptive fields of simple cells in the visual cortex.
Biol. Cybern, 43:187-198, 1982.

58
S. Kullback.
Information Theory and Statistics.
New York : Wiley, 1959.

59
V. Kwatra, A. Schödl, I. A. Essa, G. Turk, and A. F. Bobick.
Graphcut textures: Image and video synthesis using graph cuts.
In ACM Transactions on Graphics, SIGGRAPH 2003, volume 22(3), pages 277-286, July 2003.

60
J. Lafferty, A. McCallum, and F. Pereira.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data.
In Proceedings of the International Conference on Machine Learning (ICML-2001), 2001.

61
J. G. Leu and W. G. Wee.
Detecting the spatial structure of natural textures based on shape analysis.
CVGIP, 31(1):67-88, July 1985.

62
T. K. Leung and J. Malik.
Detecting, localizing and grouping repeated scene elements from an image.
In ECCV '96: Proceedings of the 4th European Conference on Computer Vision, pages 546-555, London, UK, 1996. Springer-Verlag.

63
T. K. Leung and J. Malik.
Representing and recognizing the visual appearance of materials using three-dimensional textons.
IJCV, 43(1):29-44, June 2001.

64
S. Z. Li.
Markov Random Field Modeling in Computer Vision.
Springer-Verlag, 1995.

65
L. Liang, C. Liu, and H. Y. Shum.
Real-time texture synthesis by patch-based sampling.
Technical Report MSR-TR-2001-40, Microsoft Research, 2001.

66
Y. Liu and W. C. Lin.
Deformable texture: the irregular-regular-irregular cycle.
In Proceedings of the 3rd International Workshop on Texture Analysis and Synthesis (Texture 2003), pages 65-70, October 2003.

67
Y. Liu and Y. Tsin.
The promise and perils of near-regular texture.
In Texture 2002, the 2nd International Workshop on Texture Analysis and Synthesis, associated with the European Conference on Computer Vision 2002 (ECCV'02), 2002.

68
S. Y. Lu and K. S. Fu.
A syntactic approach to texture analysis.
CGIP, 7(3):303-330, June 1978.

69
B. D. Lucas and T .Kanade.
An iterative image registration technique with an application to stereo vision (ijcai).
In Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI '81), pages 674-679, April 1981.

70
R. Lumia, L. Shapiro, and O. Zuniga.
A new connected components algorithm for virtual memory computers.
Comput. Vision Graphics Image Process., 22(2):287-300, May 1983.

71
J. Malik, S. Belongie, J. Shi, and T. K. Leung.
Textons, contours and regions: Cue integration in image segmentation.
In ICCV (2), pages 918-925, 1999.

72
B. Mandelbrot.
The Fractal Geometry of Nature.
Freeman Co., San Francisco, 1982.

73
B. S. Manjunath and R. Chellappa.
Unsupervised texture segmentation using markov random field models.
IEEE Trans. Pattern Anal. Mach. Intell., 13(5):478-482, 1991.

74
B. S. Manjunath and W. Y. Ma.
Texture features for browsing and retrieval of image data.
IEEE Trans. Pattern Anal. Mach. Intell (PAMI - Special issue on Digital Libraries), 18(8):837-842, August 1996.

75
J. Mao and A. K. Jain.
Texture classification and segmentation using multiresolution simultaneous autoregressive models.
Pattern Recogn., 25(2):173-188, 1992.

76
T. Matsuyama, S. Miura, and M. Nagao.
Structural analysis of natural textures by fourier transformation.
Computer Vision Graphics and Image Processing, 25:347–-362, 1983.

77
N. Metropolis, A. W. Rosenbluth, A. H. Teller, and E. Teller.
Equations of state calculations by fast computing machines.
Journal of Chemical Physics, 21:1087-1092, 1953.

78
A. Neubeck, A. Zalesny, and L. Van Gool.
Cut-primed smart copying.
In Texture 2003 Workshop in conjunction with ICCV 2003, pages 71-76, 2003.

79
T. Ojala, M. Pietikainen, and D. Harwood.
A comparative study of texture measures with classification based on feature distributions.
Pattern Recognition, 29(1):51-59, January 1996.

80
J. Parkkinen, K. Selkainaho, and E. Oja.
Detecting texture periodicity from the cooccurrence matrix.
Pattern Recognition Letter, 11:43-50, 1990.

81
A. P. Pentland.
Fractal-based description of natural scenes.
PAMI, 6(6):661-674, November 1984.

82
R. Picard, C. Graszyk, S. Mann, and et al.
VisTex Database.
MIT Media Lab, Cambridge, Massachusetts, 1995.

83
J. Portilla and E. P. Simoncelli.
Texture modeling and synthesis using joint statistics of complex wavelet coefficients.
In IEEE Workshop on Statistical and Computational Theories of Vision, Fort Collins, 1999.

84
J. Portilla and E. P. Simoncelli.
A parametric texture model based on joint statistics of complex wavelet coefficients.
International Journal of Computer Vision, 40(1):49-70, 2000.

85
H. Robbins and S. Monro.
A stochastic approximation method.
Annals of Mathematical Statistics, 22:400-407, 1951.

86
A. Rosenfeld and J. L. Pfaltz.
Sequential operations in digital picture processing.
Journal of the ACM, 13(4):471-494, October 1966.

87
P. Rosin.
Unimodal thresholding.
Pattern Recognition, 34 (11):2083–-2096, 2001.

88
F. Schaffalitzky and A. Zisserman.
Geometric grouping of repeated elements within images.
In Shape, Contour and Grouping in Computer Vision, pages 165-181, London, UK, 1999. Springer-Verlag.

89
D. Schattschneider.
The plane symmetry groups: Their recognition and notation.
American Math. Monthly, 85:439-450, 1978.

90
A. H. Schistad and A. K. Jain.
Texture analysis in the presence of speckle noise.
In IEEE Geoscience and Remote Sensing Symposium, Houston, Texas, USA, 1992.

91
C. Schmid.
Constructing models for content-based image retrieval.
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, USA, 2001.

92
C. E. Shannon.
A mathematical theory of communication.
Bell System Technical Journal, 17:379-423 and 623-656, July and October 1948.

93
G. Smith and I. Burns.
Measuring texture classification algorithms.
PRL, 18(14):1495-1501, December 1997.

94
W. E. Snyder, H. Qi, and W. Sander.
A coordinate system for hexagonal pixels.
In Proceedings of Spie - the International Society for Optical Engineering, pages 716-727, 1999.

95
R. Taylor, A. Micolich, and D. Jonas.
Fractal expressionism.
Physics World, October, 1999.

96
M. K. Tsatsanis and G. B. Giannakis.
Object and texture classification using higher order statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 14(7):733-750, 1992.

97
M. Tuceryan and A. K. Jain.
Texture segmentation using voronoi polygons.
IEEE Trans. Pattern Anal. Mach. Intell., 12(2):211-216, 1990.

98
M. Tuceryan and A. K. Jain.
Texture Analysis, chapter 2, pages 235-276.
World Scientific Publishing Co., 1993.

99
L. Urdang, editor.
Random House Dictionary of The English Language.
New York: Random House, 1968.

100
M. Varma. and A. Zisserman.
Classifying images of materials: Achieving viewpoint and illumination independence.
In ECCV02, page III: 255 ff., 2002.

101
M. Varma. and A. Zisserman.
Texture classification: are filter banks necessary?
In CVPR03, pages II: 691-698, 2003.

102
M. Varma. and A. Zisserman.
Unifying statistical texture classification frameworks.
IVC, 22(14):1175-1183, December 2004.

103
K. Voss and H. Suesse.
Invariant fitting of planar objects with primitives.
IEEE Trans. Pattern Anal. Mach. Intell., 19:80-84, 1997.

104
L. Wei and M. Levoy.
Fast texture synthesis using tree-structured vector quantization.
In K. Akeley, editor, Siggraph 2000, Computer Graphics Proceedings, pages 479-488. ACM Press / ACM SIGGRAPH / Addison Wesley Longman, 2000.

105
J. S. Weszka, C. R. Dyer, and A. Rosenfeld.
A comparative study of texture measures for terrain classification.
SMC, 6(4):269-286, April 1976.

106
L. Yu and G. L. Gimel'farb.
Separating a colour texture from an arbitrary background.
In Talbot H. Sun C., Ourselin S., and Adriaansen T., editors, DICTA, 10-12 Dec. 2003, Sydney, pages 489-498, 2003.

107
A. Zalesny and L. J. Van Gool.
A compact model for viewpoint dependent texture synthesis.
In SMILE '00: Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, pages 124-143, London, UK, 2001. Springer-Verlag.

108
D. Zhou and G. L. Gimel'farb.
Bunch sampling for fast texture synthesis.
In Proc. Int. Conf. Computer Analysis of Images and Patterns, Groningen, The Netherlands., pages 25-27, August 2003.

109
D. Zhou and G. L. Gimel'farb.
Model-based estimation of texels and placement grids for fast realistic texture synthesis.
In Proc. of the 3rd Int. Workshop “Texture 2003” in conjunction with ICCV 2003, pages 119 - 123, August 2003.

110
D. Zhou and G. L. Gimel'farb.
Texel-based texture synthesis with bunch sampling.
In Proc. Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, Lisbon, Portugal. Lecture Notes in Computer Science 3138, pages 1052 - 1060. Springer, Berlin, August 2004.

111
D. Zhou and G. L. Gimel'farb.
Texel-based texture analysis and synthesis.
In Proc. Image and Vision Computing New Zealand (IVCNZ 2004), Akaroa, New Zealand, pages 215-220, November 2004.

112
S. C. Zhu, C. E. Guo, Y. Wang, and Z. Xu.
What are textons?
In ECCV02, page IV: 793 ff., 2002.

113
S. C. Zhu, Y. N. Wu, and D. Mumford.
Filters, random fields and maximum entropy (frame): To a unified theory for texture modeling.
International Journal of Computer Vision, 27(2):107-126, 1998.


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