References
- Ali, S., & Shah, M. (2007). A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis [Paper presentation]. 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–6. IEEE. https://doi.org/https://doi.org/10.1109/CVPR.2007.382977
- Bi, W., Jin, P., Nienborg, H., & Xiao, B. (2018). Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning. Journal of Vision, 18(5), 12–12. https://doi.org/https://doi.org/10.1167/18.5.12
- Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.
- Bouman, K. L., Xiao, B., Battaglia, P., Freeman, W. T. (2013). Estimating the material properties of fabric from video. In Proceedings of the IEEE International Conference on Computer Vision, pp. 1984–1991.
- Davis, A., Bouman, K. L., Chen, J. G., Rubinstein, M., Durand, F., Freeman, W. T. (2015). Visual vibrometry: Estimating material properties from small motion in video. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5335–5343.
- De Aguiar, E., Sigal, L., Treuille, A., & Hodgins, J. K. (2010). Stable spaces for real-time clothing. ACM Transactions on Graphics, 29(4), 1–9. https://doi.org/https://doi.org/10.1145/1778765.1778843
- Fan, K.-C., Wang, Y.-K., Chang, B.-L., Wang, T-P. O., Jou, C.-H., & Kao, I.-F. (1998). Fabric classification based on recognition using a neural network and dimensionality reduction. Textile Research Journal, 68(3), 179–185. https://doi.org/https://doi.org/10.1177/004051759806800305
- Fleming, R. W., Dror, R. O., & Adelson, E. H. (2003). Real-world illumination and the perception of surface reflectance properties. Journal of Vision, 3(5), 3–3. https://doi.org/https://doi.org/10.1167/3.5.3
- Gillette, R., Peters, C., Vining, N., Edwards, E., & Sheffer, A. (2015). Real-time dynamic wrinkling of coarse animated cloth [Paper presentation]. In Proceedings of the 14th ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 17–26. ACM.
- Goldenthal, R., Harmon, D., Fattal, R., Bercovier, M., & Grinspun, E. (2007). Efficient simulation of inextensible cloth. ACM Transactions on Graphics, 26(3), 49. https://doi.org/https://doi.org/10.1145/1276377.1276438
- Grigorios, K., Georgios, S., Shoaib, E., Ales, L., Juergen, G., Anca, S., & McDonald-Maier, K. D. (2017). Evaluating deep convolutional neural networks for material classification. arXiv preprint arXiv:1703.04101.
- Guan, P., Reiss, L., Hirshberg, D. A., Weiss, A., & Black, M. J. (2012). Drape: Dressing any person. ACM Transactions on Graphics, 31(4), 35. https://doi.org/https://doi.org/10.1145/2185520.2185531
- Helbing, D., & Molnár, P. (1995). Social force model for pedestrian dynamics. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 51(5), 4282–4286. https://doi.org/https://doi.org/10.1103/physreve.51.4282
- Ho, Y.-X., Landy, M. S., & Maloney, L. T. (2006). How direction of illumination affects visually perceived surface roughness. Journal of Vision, 6(5), 8. https://doi.org/https://doi.org/10.1167/6.5.8
- Hu, J. (2004). Research on the classification of fabrics based on Bayesian method. Textile Journal, (1), 47–48.
- Jiang, C., Gast, T., & Teran, J. (2017). Anisotropic elastoplasticity for cloth, knit and hair frictional contact. ACM Transactions on Graphics, 36(4), 1–14. https://doi.org/https://doi.org/10.1145/3072959.3073623
- Kang, X. (2015). Automatic classification of woven fabric structure based on computer vision techniques. Journal of Fiber Bioengineering and Informatics, 8(1), 69–79. https://doi.org/https://doi.org/10.3993/jfbi03201507
- Kavan, L., Gerszewski, D., Bargteil, A. W., & Sloan, P.-P. (2011). Physics-inspired upsampling for cloth simulation in games. ACM Transactions on Graphics, 30(4), 93. https://doi.org/https://doi.org/10.1145/2010324.1964988
- Kim, D., Koh, W., Narain, R., Fatahalian, K., Treuille, A., & James, F. O. (2013). Near-exhaustive precomputation of secondary cloth effects. ACM Transactions on Graphics, 32(4), 1–8. https://doi.org/https://doi.org/10.1145/2461912.2462020
- Kuo, C.-Y. S., & Lee, J.-Y. (2004). Automatic recognition of fabric weave patterns by a fuzzy C-means clustering method. Textile Research Journal, 74(2), 107–111. https://doi.org/https://doi.org/10.1177/004051750407400204
- Liu, C., Sharan, L., Adelson, E. H., & Rosenholtz, R. (2010). Exploring features in a bayesian framework for material recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 239–246. IEEE.
- Loke, K.-S., & Cheong, M. (2009). Efficient textile recognition via decomposition of co-occurrence matrices [Paper presentation]. 2009 IEEE International Conference on Signal and Image Processing Applications, pp. 257–261. IEEE. https://doi.org/https://doi.org/10.1109/ICSIPA.2009.5478606
- Mehran, R., Oyama, A., & Shah, M. (2009). Abnormal crowd behavior detection using social force model. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 935–942. IEEE.
- Müller, M. (2008). Hierarchical position based dynamics. Workshop on Virtual Reality Interactions & Physical Simulations.
- Müller, M., Heidelberger, B., Hennix, M., & Ratcliff, J. (2007). Position based dynamics. Journal of Visual Communication and Image Representation, 18(2), 109–118. https://doi.org/https://doi.org/10.1016/j.jvcir.2007.01.005
- Peter, S., & Seth, T. (2008). Particle video: Long-range motion estimation using point trajectories. International Journal of Computer Vision, 80(1), 72.
- Provot, Xavier. (1995). Deformation constraints in a mass-spring model to describe rigid cloth behaviour. In Graphics interface (p. 147). Canadian Information Processing Society.
- Selle, A., Su, J., Irving, G., & Fedkiw, R. (2009). Robust high-resolution cloth using parallelism, history-based collisions, and accurate friction. IEEE Transactions on Visualization and Computer Graphics, 15(2), 339–350. https://doi.org/https://doi.org/10.1109/TVCG.2008.79
- Sun, J., Yao, M., Xu, B., & Bel, P. (2011). Fabric wrinkle characterization and classification using modified wavelet coefficients and support-vector-machine classifiers. Textile Research Journal, 81(9), 902–913. https://doi.org/https://doi.org/10.1177/0040517510391702
- Terzopoulos, D., Platt, J., Barr, A., & Fleischer, K. (1987). Elastically deformable models. ACM SIGGRAPH Computer Graphics, 21(4), 205–214. https://doi.org/https://doi.org/10.1145/37402.37427
- Wang, H., Hecht, F., Ramamoorthi, R., & James F, O. (2010). Example-based wrinkle synthesis for clothing animation. ACM Transactions on Graphics, 29(4), 107. https://doi.org/https://doi.org/10.1145/1778765.1778844
- Xu, W., Umentani, N., Chao, Q., Mao, J., Jin, X., & Tong, X. (2014). Sensitivity-optimized rigging for example-based real-time clothing synthesis. ACM Transactions on Graphics, 33(4), 1–11. https://doi.org/https://doi.org/10.1145/2601097.2601136
- Yang, S., Liang, J., & Lin, M. C. (2017). Learning-based cloth material recovery from video. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4383–4393.