CuRRET: Columbia-Utrecht Reflectance and Texture Database. 3 databases: 1) BRDF (bidirectional reflectance distribution function) database with reflectance measurements for over 60 different samples, each observed with over 200 different combinations of viewing and illumination directions. 2) BRDF parameter database with fitting parameters from two recent BRDF models: the Oren-Nayar model and the Koenderink et al. representation. These BRDF parameters can be directly used for both image analysis and image synthesis. 3) BTF (bidirectional texture function) database with image textures from over 60 different samples, each observed with over 200 different combinations of viewing and illumination directions. Each of these databases is made publicly available for research purposes. For details about the measurements, and fitting procedures a technical report and summary paper are provided.

References in zbMATH (referenced in 40 articles )

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  1. Cherian, Anoop; Sra, Suvrit: Positive definite matrices: data representation and applications to computer vision (2016)
  2. Perea, Jose A.; Carlsson, Gunnar: A Klein-bottle-based dictionary for texture representation (2014)
  3. Bouguila, Nizar: On the smoothing of multinomial estimates using Liouville mixture models and applications (2013)
  4. Sharan, Lavanya; Liu, Ce; Rosenholtz, Ruth; Adelson, Edward H.: Recognizing materials using perceptually inspired features (2013)
  5. Tunwattanapong, Borom; Fyffe, Graham; Graham, Paul; Busch, Jay; Yu, Xueming; Ghosh, Abhijeet; Debevec, Paul: Acquiring reflectance and shape from continuous spherical harmonic illumination (2013)
  6. Aptoula, Erchan: Extending morphological covariance (2012)
  7. Guo, Yimo; Zhao, Guoying; Pietikäinen, Matti: Discriminative features for texture description (2012)
  8. Haindl, Michal; Havlíček, Vojtěch; Grim, Jiří: Probabilistic mixture-based image modelling (2011)
  9. Ilea, Dana E.; Whelan, Paul F.: Image segmentation based on the integration of colour-texture descriptors -- a review (2011)
  10. Crosier, M.; Griffin, L.D.: Using basic image features for texture classification (2010)
  11. Greiner, T.; Rao, Shivani G.; Das, Sukhendu: Estimation of orientation of a textured planar surface using projective equations and separable analysis with $M$-channel wavelet decomposition (2010)
  12. Guo, Zhenhua; Zhang, Lei; Zhang, David: Rotation invariant texture classification using LBP variance (LBPV) with global matching (2010)
  13. Smith, William A.P.; Hancock, Edwin R.: Estimating facial reflectance properties using shape-from-shading (2010)
  14. Xia, Gui-Song; Delon, Julie; Gousseau, Yann: Shape-based invariant texture indexing (2010)
  15. Sandler, Roman; Lindenbaum, Michael: Optimizing Gabor filter design for texture edge detection and classification (2009)
  16. Yacoob, Yaser; Davis, Larry S.: Segmentation using appearance of mesostructure roughness (2009)
  17. Zhao, Qinping: A survey on virtual reality (2009)
  18. de Luis-García, Rodrigo; Deriche, Rachid; Alberola-López, Carlos: Texture and color segmentation based on the combined use of the structure tensor and the image components (2008)
  19. Ragheb, Hossein; Hancock, Edwin R.: A light scattering model for layered dielectrics with rough surface boundaries (2008)
  20. Weyrich, Tim; Lawrence, Jason; Lensch, Hendrik P.A.; Rusinkiewicz, Szymon; Zickler, Todd: Principles of appearance acquisition and representation (2008)

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