参考文献/References:
[1] 王会威, 张辉. 基于CLO 3D的织物悬垂性模拟影响因素分析[J]. 纺织科技进展, 2015(5): 12-14.
WANG Huiwei, ZHANG Hui. The influencing factors analysis of fabric draping simulation based on CLO 3D[J]. Progress in Textile Science and Technology, 2015(5): 12-14.(in Chinese)
[2] 余志才, 钟跃崎. 应用人工神经网络分析织物的形态与性能之间的关系[J]. 毛纺科技, 2021, 49(5): 1-7.
YU Zhicai, ZHONG Yueqi. Analysis of the shape-property relationship of fabric by using artificial neural network[J]. Wool Textile Journal, 2021, 49(5): 1-7.(in Chinese)
[3] ZIMMERLING C, TRIPPE D, FENGLER B, et al. An approach for rapid prediction of textile draping results for variable composite component geometries using deep neural networks[C]//AIP Conference Proceedings, Proceedings of The 22nd International Esaform Conference on Material Forming: Esaform 2019. Vitoria-Gasteiz:AIP Publishing, 2019, 2113(1): 020007.
[4] VIDAURRE R, SANTESTEBAN I, GARCES E, et al. Fully convolutional graph neural networks for parametric virtual try-on[J]. Computer Graphics Forum, 2020, 39(8): 145-156.
[5] 杜宇轩, 张辉. 基于Autodesk Maya的虚拟织物悬垂性影响因数分析[J]. 纺织科技进展, 2016(10): 11-14.
DU Yuxuan, ZHANG Hui. Analysis of the influencing factors of virtual textile drape property based on Autodesk Maya[J]. Progress in Textile Science and Technology, 2016(10): 11-14.(in Chinese)
[6] 周琦, 杜宇轩, 张辉. 基于Autodesk Maya的虚拟织物悬垂性评价因子分析[J]. 纺织科技进展, 2018(10): 29-31.
ZHOU Qi, DU Yuxuan, ZHANG Hui. Factor analysis on the draping property evaluation of the virtual fabric based on Autodesk Maya[J]. Progress in Textile Science and Technology, 2018(10): 29-31.(in Chinese)
[7] 韩新叶, 张辉. 基于CLO 3D的虚拟织物悬垂性能评价主因子分析[J]. 纺织科技进展, 2017(2): 32-34.
HAN Xinye, ZHANG Hui. Factor analysis on the draping property evaluation of the virtual fabric based on CLO 3D system[J]. Progress in Textile Science and Technology, 2017(2): 32-34.(in Chinese)
[8] 陈彩云. 仿丝绸处理对涤纶织物悬垂性的影响[J]. 丝绸, 2018, 55(9): 15-20.
CHEN Caiyun. Influence of silk-like finishing on polyester fabric drapability[J]. Journal of Silk, 2018, 55(9): 15-20.(in Chinese)
[9] 戴济晏, 徐伯俊, 张洪, 等. 黏胶仿真丝织物的服用性能测试与分析[J]. 丝绸, 2017, 54(1): 9-14.
DAI Jiyan, XU Bojun, ZHANG Hong, et al. Wearability test and analysis of viscose silk-like fabric[J]. Journal of Silk, 2017, 54(1): 9-14.(in Chinese)
[10] 周琦, 张辉. 虚拟精纺毛织物的悬垂性能模拟研究[J]. 现代纺织技术, 2020, 28(2): 29-34.
ZHOU Qi, ZHANG Hui. Simulation study on drapability of virtual worsted fabrics[J]. Advanced Textile Technology, 2020, 28(2): 29-34.(in Chinese)
[11] 袁小军, 陈晓东, 邱莉, 等. 基于图像处理的织物悬垂性综合评价[J]. 纺织科学与工程学报, 2020, 37(3): 19-24.
YUAN Xiaojun, CHEN Xiaodong, QIU Li, et al. Comprehensive evaluation of fabric drape based on image processing[J]. Journal of Textile Science and Engineering, 2020, 37(3): 19-24.(in Chinese)
[12] 吕雪珊, 祝杭琪, 王雪琴. 真丝织物虚拟化的悬垂性对比研究[J]. 丝绸, 2022, 59(1): 38- 45.
LYU Xueshan, ZHU Hangqi, WANG Xueqin. Comparative study on drapability of virtual silk fabrics[J]. Journal of Silk, 2022, 59(1): 38- 45.(in Chinese)
[13] 沈芳芳. PU涂层面料与黏合衬的配伍研究[D]. 上海: 东华大学, 2013.
[14] SRIVASTAVA M, SIDDIQUI J, ALI M A. A review of hashing based image copy detection techniques[J]. Cybernetics and Information Technologies, 2019, 19(2): 3-27.
[15] ROMA N, SOUSA L. A tutorial overview on the properties of the discrete cosine transform for encoded image and video processing[J]. Signal Processing, 2011, 91(11): 2443-2464.
[16] BEGUM M, UDDIN M S. Digital image watermarking techniques: a review[J]. Information, 2020, 11(2): 110.
[17] 刘婉婷, 梁晓萍, 张瀚匀. 基于感知哈希的图像检索系统[J]. 现代计算机, 2021, 27(24): 136-139, 143.
LIU Wanting, LIANG Xiaoping, ZHANG Hanyun. Image retrieval system based on perceptual hashing[J]. Modern Computer, 2021, 27(24): 136-139, 143.(in Chinese)
[18] SHEHU G S, ASHIR A M, ELEYAN A. Character recognition using correlation and hamming distance[C]//2015 23nd Signal Processing and Communications Applications Conference(SIU). Malatya: IEEE, 2015: 755-758.
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