7.13.1 Texture Periods Description

Chapter Contents (Back)
Periodic Textures.

Sakai, T., Nagao, M., Matsushima, H.,
Extraction of Invariant Picture Substructures by Computer,
CGIP(1), No. 1, April 1972, pp. 81-96.
WWW Link. BibRef 7204

Matsuyama, T.[Takashi], Miura, S.I.[Shu-Ichi], Nagao, M.[Makoto],
Structural Analysis of Natural Textures by Fourier Transformation,
CVGIP(24), No. 3, December 1983, pp. 347-362.
WWW Link. BibRef 8312
Earlier: ICPR82(289-292). Use the Fourier power spectrum to determine element spacing rules with only one texture element type. See also Structural Analysis of Complex Aerial Photographs. BibRef

Matsuyama, T., Saburi, K., and Nagao, M.,
A Structural Analyzer for Regularly Arranged Textures,
CGIP(18), No. 3, March 1982, pp. 259-278.
WWW Link. BibRef 8203
Earlier:
A Structural Description of Regularly Arranged Textures,
ICPR80(1115-1118). Extract texture elements by region growing, describe the arrangement using regularity vectors from elements, add missing elements and delete extra ones. Find the simplest description (Hierarchical possible). Regions covered by a pattern are formed by sweeping a texture element around its reconstruction once and filling in the holes. BibRef

Kim, H.B., Park, R.H.,
Extraction of Periodicity Vectors from Structural Textures Using Projection Information,
PRL(11), 1990, pp. 625-630. BibRef 9000

Kim, H.B., Park, R.H.,
Extracting Spatial Arrangement of Structural Textures Using Projection Information,
PR(25), No. 3, March 1992, pp. 237-245.
WWW Link. BibRef 9203

Figueiras Vidal, A.R., Paez Borrallo, J.M., Garcia Gomez, R.,
On Using Cooccurrence Matrices to Detect Periodicities,
ASSP(35), 1987, pp. 114-116. BibRef 8700

Kahng, A.B., Robins, G.,
Optimal Algorithms for Extracting Spatial Regularity in Images,
PRL(12), 1991, pp. 757-764. BibRef 9100

Chetverikov, D.,
Generating Contrast Curves for Texture Regularity Analysis,
PRL(12), 1991, pp. 437-444. BibRef 9100

Chetverikov, D.,
Texture Imperfections,
PRL(6), 1987, pp. 45-50. BibRef 8700

Chetverikov, D.,
Pattern regularity as a visual key,
IVC(18), No. 12, September 2000, pp. 975-985.
WWW Link. 0008
BibRef
Earlier: BMVC98(xx-yy). BibRef

Chetverikov, D.[Dmitry], Hanbury, A.,
Finding defects in texture using regularity and local orientation,
PR(35), No. 10, October 2002, pp. 2165-2180.
WWW Link. 0206
BibRef

Chetverikov, D.[Dmitry],
Pattern orientation and texture symmetry,
CAIP95(222-229).
Springer DOI 9509
BibRef

Micušík, B.[Branislav], Hanbury, A.[Allan],
Supervised Texture Detection in Images,
CAIP05(441).
Springer DOI 0509
BibRef

Soldano, H., Viari, A., Champesme, M.,
Searching for Flexible Repeated Patterns Using a Non-Transitive Similarity Relation,
PRL(16), No. 3, March 1995, pp. 233-246. BibRef 9503

Starovoitov, V.V., Jeong, S.Y., Park, R.H.,
Texture Periodicity Detection: Features, Properties, and Comparisons,
SMC-A(28), No. 6, November 1998, pp. 839-848.
IEEE Top Reference. BibRef 9811

Starovoitov, V.V.[Valery V.],
Simplified technique of structure extraction from textural images,
CAIP93(259-266).
Springer DOI 9309
BibRef

Oh, G.[Gyuhwan], Lee, S.Y.[Seung-Yong], Shin, S.Y.[Sung Yong],
Fast determination of textural periodicity using distance matching function,
PRL(20), No. 2, February 1999, pp. 191-197. BibRef 9902

Liu, Y.X.[Yan-Xi], Tsin, Y.H.[Yang-Hai], Lin, W.C.[Wen-Chieh],
The Promise and Perils of Near-Regular Texture,
IJCV(62), No. 1-2, April-May 2005, pp. 145-159.
DOI Link 0411
BibRef
Earlier: A1, A2 only: Texture02(77-82). 0207
BibRef

Lee, S.K.[Seung-Kyu], Liu, Y.X.[Yan-Xi],
PSU Near-Regular Texture Database,
OnlinePSU, 2005.
WWW Link. Dataset, Texture. BibRef 0500

Liu, Y.X.[Yan-Xi], Collins, R.T., Tsin, Y.,
A computational model for periodic pattern perception based on frieze and wallpaper groups,
PAMI(26), No. 3, March 2004, pp. 354-0_5.
IEEE Abstract. 0402
BibRef

Liu, Y.X.[Yan-Xi], Collins, R.T.[Robert T.],
A Computational Model for Repeated Pattern Perception using Frieze and Wallpaper Groups,
CVPR00(I: 537-544).
IEEE DOI 0005
BibRef
And: CMU-RI-TR-00-08, April, 2000.
PDF File. 0102
BibRef

Liu, Y., Collins, R.T.,
Skewed Symmetry Groups,
CVPR01(I:872-879).
IEEE DOI 0110
shape from texture. Surfaces, transform to non-skewed. BibRef

Liu, Y., and Collins, R.T.,
Frieze and Wallpaper Symmetry Groups Classification under Affine and Perspective Distortion,
CMU-RI-TR-98-37, July, 1998.
HTML Version. BibRef 9807

Voutsas, K., Langner, G., Adamy, J., Ochse, M.,
A brain-like neural network for periodicity analysis,
SMC-B(35), No. 1, February 2005, pp. 12-22.
IEEE Abstract. 0501
BibRef

Fazekas, S.[Sandor], Chetverikov, D.[Dmitry],
Analysis and performance evaluation of optical flow features for dynamic texture recognition,
SP:IC(22), No. 7-8, August-September 2007, pp. 680-691.
WWW Link. 0710
BibRef
Earlier: A2, A1:
On motion periodicity of dynamic textures,
BMVC06(I:167).
PDF File. 0609
Dynamic texture; Classification; Optical flow; Image distortions BibRef

Péteri, R.[Renaud], Chetverikov, D.[Dmitry],
Dynamic Texture Recognition Using Normal Flow and Texture Regularity,
IbPRIA05(II:223).
Springer DOI 0509
BibRef

Chetverikov, D., Matas, J.G.,
Periodic Textures as Distinguished Regions for Wide-Baseline Stereo Correspondence,
Texture02(25-30). 0207
BibRef

Asha, V., Nagabhushan, P., Bhajantri, N.U.,
Automatic extraction of texture-periodicity using superposition of distance matching functions and their forward differences,
PRL(33), No. 5, 1 April 2012, pp. 629-640.
Elsevier DOI 1202
Periodicity; Distance matching function; Superposition; Forward difference BibRef

Ha, S.J.[Seong Jong], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik],
Discrimination and description of repetitive patterns for enhancing the performance of feature-based recognition,
IVC(30), No. 11, November 2012, pp. 817-828.
Elsevier DOI 1211
BibRef
Earlier:
Discrimination and description of repetitive patterns for enhancing object recognition performance,
ICIP11(2377-2380).
IEEE DOI 1201
Object recognition; Feature matching; Repetitive pattern BibRef

Cai, Y.L.[Yun-Liang], Baciu, G.[George],
Detecting, Grouping, and Structure Inference for Invariant Repetitive Patterns in Images,
IP(22), No. 6, 2013, pp. 2343-2355.
IEEE DOI BibRef 1300
And:
Tran slation Symmetry Detection: A Repetitive Pattern Analysis Approach,
SUW13(223-228)
IEEE DOI 1309
BibRef
Earlier:
Higher level segmentation: Detecting and grouping of invariant repetitive patterns,
CVPR12(694-701).
IEEE DOI 1208
BibRef
Earlier:
Inferring repeated pattern composition in near regular textures,
ICIP12(513-516).
IEEE DOI 1302
image colour analysis; image segmentation; image texture; crowded scene; detecting inference; global geometric structures; invariant structures; ;pattern grouping; robust extraction; structure inference; texture composition; 1307
BibRef

Huang, X.D.[Xiang-Dong], Xia, X.G.[Xiang-Gen],
A Fine Resolution Frequency Estimator Based on Double Sub-segment Phase Difference,
SPLetters(22), No. 8, August 2015, pp. 1055-1059.
IEEE DOI 1502
computational complexity BibRef

Varadarajan, S., Karam, L.J.,
A No-Reference Texture Regularity Metric Based on Visual Saliency,
IP(24), No. 9, September 2015, pp. 2784-2796.
IEEE DOI 1506
Computational modeling BibRef

Swedberg, B.[Brian], Peuquet, D.[Donna],
PerSE: visual analytics for calendar related spatiotemporal periodicity detection and analysis,
GeoInfo(21), No. 3, July 2017, pp. 577-597.
WWW Link. 1708
BibRef

Manandhar, D.[Dipu], Yap, K.H.[Kim-Hui], Miao, Z.W.[Zhen-Wei], Chau, L.P.[Lap-Pui],
Lattice-Support repetitive local feature detection for visual search,
PRL(98), No. 1, 2017, pp. 123-129.
Elsevier DOI 1710
Repetitive pattern detection BibRef


Lettry, L., Perdoch, M., Vanhoey, K., Van Gool, L.J.,
Repeated Pattern Detection Using CNN Activations,
WACV17(47-55)
IEEE DOI 1609
Feature extraction, Lattices, Lighting, Pipelines, Robustness, Semantics, Visualization BibRef

Wang, Y., Liu, J., Zeng, Q.,
Affine Invariant Matching Method for Image Contains Repetitive Patterns,
DICTA16(1-6)
IEEE DOI 1701
Context BibRef

Wang, H.[Hao],
SimDSR: Simultaneous detection and segmentation for repetitive patterns,
VCIP15(1-4)
IEEE DOI 1605
Analytical models BibRef

Dang, K.[Kang], Yuan, J.S.[Jun-Song],
Location Constrained Pixel Classifiers for Image Parsing with Regular Spatial Layout,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Pratas, D.[Diogo], Pinho, A.J.[Armando J.],
On the Detection of Unknown Locally Repeating Patterns in Images,
ICIAR12(I: 158-165).
Springer DOI 1206
BibRef

Agustí-Melchor, M.[Manuel], Rodas-Jordá, A.[Angel], Valiente-González, J.M.[Jose-Miguel],
Symmetry Computation in Repetitive Images Using Minimum-Variance Partitions,
CAIP11(II: 204-211).
Springer DOI 1109
BibRef
Earlier:
Classification of Repetitive Patterns Using Symmetry Group Prototypes,
IbPRIA11(84-91).
Springer DOI 1106
BibRef

Han, J.W.[Jun-Wei], McKenna, S.J.[Stephen J.], Wang, R.X.[Rui-Xuan],
Regular Texture Analysis as Statistical Model Selection,
ECCV08(IV: 242-255).
Springer DOI 0810
BibRef

Luong, H.Q.[Hiêp Quang], Philips, W.[Wilfried],
Non-Local Text Image Reconstruction,
ICDAR07(546-550).
IEEE DOI 0709
See also Image Upscaling Using Global Multimodal Priors. BibRef

Luong, H.Q.[Hiêp Quang], Ledda, A.[Alessandro], Philips, W.[Wilfried],
Non-Local Image Interpolation,
ICIP06(693-696).
IEEE DOI 0610
BibRef
Earlier:
An Image Interpolation Scheme for Repetitive Structures,
ICIAR06(I: 104-115).
Springer DOI 0610
BibRef

Ledda, A.[Alessandro], Luong, H.Q.[Hiêp Q.], Philips, W.[Wilfried], de Witte, V.[Valérie], Kerre, E.E.[Etienne E.],
Greyscale Image Interpolation Using Mathematical Morphology,
ACIVS06(78-90).
Springer DOI 0609
BibRef
And:
Image Interpolation using Mathematical Morphology,
DIAL06(358-367).
IEEE DOI 0604
BibRef

Hays, J.H.[James H.], Leordeanu, M.[Marius], Efros, A.A.[Alexei A.], Liu, Y.X.[Yan-Xi],
Discovering Texture Regularity as a Higher-Order Correspondence Problem,
ECCV06(II: 522-535).
Springer DOI 0608
BibRef

Boyce, J.F.[James F.], Orwell, J., Haddon, J.F.[John F.], Watson, G.,
Detecting Periodic Structure,
ICPR98(Vol I: 714-716).
IEEE DOI 9808
BibRef

Haddon, J.F.[John F.], Boyce, J.F.[James F.],
Neural networks for the texture classification of temporally consistent segmented regions of FLIR sequences,
ICPR94(B:107-111).
IEEE DOI 9410
BibRef
And:
Texture classification of segmented regions of FLIR images using neural networks,
ICIP94(II: 660-664).
IEEE DOI 9411
BibRef
Earlier:
Simultaneous region and edge segmentation of infrared images using non-maximal suppression for edge thinning,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Haddon, J.F.[John F.], Boyce, J.F.[James F.], Protheroe, S.[Simon], Hesketh, S.[Simon],
Neural Networks for the Texture Classification of Segmented Regions of Forward Looking Infrared Images,
BMVC93(xx-yy).
PDF File. 9309
BibRef


Last update:Nov 11, 2017 at 13:31:57