Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting periodicity of a regular texture based on autocorrelation functions
Pattern Recognition Letters
Detecting, localizing and grouping repeated scene elements from an image
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Shape from Texture without Boundaries
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Geometric Grouping of Repeated Elements within Images
Shape, Contour and Grouping in Computer Vision
Noncombinatorial Detection of Regular Repetitions under Perspective Skew
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Texture Descriptor for Image Retrieval and Browsing
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
An evolutionary system for near-regular texture synthesis
Pattern Recognition
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regular Texture Analysis as Statistical Model Selection
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Deformed Lattice Detection in Real-World Images Using Mean-Shift Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient computation method for the texture browsing descriptor of MPEG-7
Image and Vision Computing
Geometric structure and randomness in texture analysis and synthesis
Proceedings of the 11th international conference on Theoretical foundations of computer vision
Translation-symmetry-based perceptual grouping with applications to urban scenes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Discovering texture regularity as a higher-order correspondence problem
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Texture periodicity detection: features, properties, and comparisons
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Texture synthesis: textons revisited
IEEE Transactions on Image Processing
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The analysis of regular texture images is cast in a model comparison framework. Texel lattice hypotheses are used to define statistical models which are compared in terms of their ability to explain the images. This approach is used to estimate lattice geometry from patterns that exhibit translational symmetry (regular textures). It is also used to determine whether images consist of such regular textures. A method based on this approach is described in which lattice hypotheses are generated using analysis of peaks in the image autocorrelation function, statistical models are based on Gaussian or Gaussian mixture clusters, and model comparison is performed using the marginal likelihood as approximated by the Bayes Information Criterion (BIC). Experiments on public domain images and a commercial textile image archive demonstrate substantially improved accuracy compared to several alternative methods.