Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Analysis and Recognition of Real-World Textures in Three Dimensions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rough surface classification using point statistics from photometric stereo
Pattern Recognition Letters
Synthesizing bidirectional texture functions for real-world surfaces
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Synthesis of bidirectional texture functions on arbitrary surfaces
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Bidirectional Reflection Distribution Function of Thoroughly Pitted Surfaces
International Journal of Computer Vision
Texture histograms as a function of irradiation and viewing direction
International Journal of Computer Vision
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Reflectance and Texture of Real-World Surfaces Authors
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Texture Features and Learning Similarity
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Analyzing the Bidirectional Texture Function
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Histogram Model for 3D Textures
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Correlation Model for 3D Texture
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Relief Texture from Specularities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface detail in computer models
Image and Vision Computing
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
Segmentation using Appearance of Mesostructure Roughness
International Journal of Computer Vision
PathMiner: a web-based tool for computer-assisted diagnostics in pathology
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Radon representation-based feature descriptor for texture classification
IEEE Transactions on Image Processing
Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Computer Vision and Image Understanding
The quadratic-chi histogram distance family
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Variational region-based segmentation using multiple texture statistics
IEEE Transactions on Image Processing
Compressed sensing for robust texture classification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Multiple classifier systems in texton-based approach for the classification of CT images of lung
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Dictionary learning in texture classification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Expert Systems with Applications: An International Journal
Learning basic patterns from repetitive texture surfaces under non-rigid deformations
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Continuous rotation invariant local descriptors for texton dictionary-based texture classification
Computer Vision and Image Understanding
Noise robust rotation invariant features for texture classification
Pattern Recognition
Texture databases - A comprehensive survey
Pattern Recognition Letters
Constructing and applying higher order textons: Estimating breast cancer risk
Pattern Recognition
BTF based material representations: current challenges
MAM '13 Proceedings of the Eurographics 2013 Workshop on Material Appearance Modeling: Issues and Acquisition
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Textured surfaces are an inherent constituent of the natural surroundings, therefore efficient real-world applications of computer vision algorithms require precise surface descriptors. Often textured surfaces present not only variations of color or reflectance, but also local height variations. This type of surface is referred to as a 3D texture. As the lighting and viewing conditions are varied, effects such as shadowing, foreshortening and occlusions, give rise to significant changes in texture appearance. Accounting for the variation of texture appearance due to changes in imaging parameters is a key issue in developing accurate 3D texture models. The bidirectional texture function (BTF) is observed image texture as a function of viewing and illumination directions. In this work, we construct a BTF-based surface model which captures the variation of the underlying statistical distribution of local structural image features, as the viewing and illumination conditions are changed. This 3D texture representation is called the bidirectional feature histogram (BFH). Based on the BFH, we design a 3D texture recognition method which employs the BFH as the surface model, and classifies surfaces based on a single novel texture image of unknown imaging parameters. Also, we develop a computational method for quantitatively evaluating the relative significance of texture images within the BTF. The performance of our methods is evaluated by employing over 6200 texture images corresponding to 40 real-world surface samples from the CUReT (Columbia-Utrecht reflectance and texture) database. Our experiments produce excellent classification results, which validate the strong descriptive properties of the BFH as a 3D texture representation.