[1]
|
Leung, T. and Malik, J. (2001) Representing and Recognizing the Visual Appearance of Materials Using Three- Dimensional Textons. International Journal of Computer Vision, 43, 29-44. https://doi.org/10.1023/A:1011126920638
|
[2]
|
Schwartz, G. and Nishino, K. (2013) Visual Material Traits: Recognizing Per-Pixel Material Context. IEEE International Conference on Computer Vision Workshops, Sydney, 1-8 December 2013, 883-890.
https://doi.org/10.1109/iccvw.2013.121
|
[3]
|
Sharan, L., Liu, C., Rosenholtz, R. and Adelson, E.H. (2013) Recognizing Materials Using Perceptually Inspired Features. International Journal of Computer Vision, 103, 348-371. https://doi.org/10.1007/s11263-013-0609-0
|
[4]
|
Dana, K.J., et al. (1999) Reflectance and Texture of Real-World Surfaces. ACM Transactions on Graphics, 18, 1-34. https://doi.org/10.1145/300776.300778
|
[5]
|
Ojala, T., Pietikäinen, M. and Mäenpää, T. (2002) Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis & Machine Intelligence, 24, 971-987.
https://doi.org/10.1109/TPAMI.2002.1017623
|
[6]
|
Oxholm, G., Bariya, P. and Nishino, K. (2012) The Scale of Geometric Texture: Springer Berlin Heidelberg. European Conference on Computer Vision, Firenze, 7-13 October 2012, 58-71.
https://doi.org/10.1007/978-3-642-33718-5_5
|
[7]
|
Amadasun, M. and King, R. (1989) Textural Features Corresponding to Textural Properties. IEEE Transactions on Systems, Man, and Cybernetics, 19, 1264-1274. https://doi.org/10.1109/21.44046
|
[8]
|
Gårding, J. (1992) Shape from Texture for Smooth Curved Surfaces. Journal of Mathematical Imaging and Vision, 2, 327-350. https://doi.org/10.1007/BF00121877
|
[9]
|
Ferrari, V. and Zisserman, A. (2008) Learning Visual Attributes. Conference on Neural Information Processing Systems, Vancouver, 8-10 December 2008, 433-440.
|
[10]
|
Bhushan, N., Rao, A.R. and Lohse, G.L. (1997) The Texture Lexicon: Understanding the Categorization of Visual Texture Terms and Their Relationship to Texture Images. Cognitive Science, 21, 219-246.
https://doi.org/10.1207/s15516709cog2102_4
|
[11]
|
Cimpoi, M., Maji, S., Kokkinos, I., Mohamed, S. and Vedaldi, A. (2014) Describing Textures in the Wild. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, 23-28 June 2014, 3606-3613.
https://doi.org/10.1109/cvpr.2014.461
|
[12]
|
Perronnin, F. and Dance, C. (2007) Fisher Kernels on Visual Vocabularies for Image Categorization. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, 17-22 June 2007, 1-8.
https://doi.org/10.1109/cvpr.2007.383266
|
[13]
|
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., et al. (2013) DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. Computer Science, 50, 815-830.
|
[14]
|
Jun, L. (2015) Procedural Textures[EB/OL].
https://figshare.com/articles/procedural_textures/1289700, 2017-6-12.
|
[15]
|
Brinker, K., Fürnkranz, J. and Hüllermeier, E. (2006) A Unified Model for Multilabel Classification and Ranking. European Conference on Artificial Intelligence, Riva Del Garda, 29 August-1 September 2006, 489-493.
|
[16]
|
Geng, X. and Luo, L. (2014) Multilabel Ranking with Inconsistent Rankers. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, 23-28 June 2014, 3742-3747.
https://doi.org/10.1109/cvpr.2014.478
|
[17]
|
Cha, S. (2007) Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. City, 1, 1.
|
[18]
|
Geng, X., Yin, C. and Zhou, Z. (2013) Facial Age Estimation by Learning from Label Distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 2401-2412. https://doi.org/10.1109/TPAMI.2013.51
|
[19]
|
Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) Imagenet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems, Harrahs and Harveys, Lake Tahoe, 3-8 December 2012, 1097- 1105.
|