Compact representation of bidirectional texture functions
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 1041-1047
- https://doi.org/10.1109/cvpr.2001.990645
Abstract
A bidirectional texture function (BTF) describes image texture as it varies with viewing and illumination direction. Many real world surfaces such as skin, fur, gravel, etc. exhibit fine-scale geometric surface detail. Accordingly, variations in appearance with viewing and illumination direction may be quite complex due to local foreshortening, masking and shadowing. Representations of surface texture that support robust recognition must account for these effects. We construct a representation which captures the underlying statistical distribution of features in the image texture as well as the variations in this distribution with viewing and illumination direction. The representation combines clustering to learn characteristic image features and principle components analysis to reduce the space of feature histograms. This representation is based on a core image set as determined by a quantitative evaluation of importance of individual images in the overall representation. The result is a compact representation and a recognition method where a single novel image of unknown viewing and illumination direction can be classified efficiently. The CUReT (Columbia-Utrecht reflectance and texture) database is used as a test set for evaluation of these methods.Keywords
This publication has 10 references indexed in Scilit:
- Dimensionality of illumination in appearance matchingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Histogram model for 3D texturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Reflectance and texture of real-world surfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Recognition methods for 3D textured surfacesPublished by SPIE-Intl Soc Optical Eng ,2001
- The analysis and recognition of real-world textures in three dimensionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Reflectance and texture of real-world surfacesACM Transactions on Graphics, 1999
- Texture histograms as a function of irradiation and viewing directionInternational Journal of Computer Vision, 1999
- Recognizing surfaces using three-dimensional textonsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Visual learning and recognition of 3-d objects from appearanceInternational Journal of Computer Vision, 1995
- Textons, the elements of texture perception, and their interactionsNature, 1981