Recurrent Motion Refiner for Locomotion Stitching

Stitching different character motions is one of the most commonly used techniques as it allows the user to make new animations that fit one's purpose from pieces of motion. However, current motion stitching methods often produce unnatural motion with foot sliding artefacts, depending on the performance of the interpolation. In this paper, we propose a novel motion stitching technique based on a recurrent motion refiner (RMR) that connects discontinuous locomotions into a single natural locomotion. Our model receives different locomotions as input, in which the root of the last pose of the previous motion and that of the first pose of the next motion are aligned. During runtime, the model slides through the sequence, editing frames window by window to output a smoothly connected animation. Our model consists of a two-layer recurrent network that comes between a simple encoder and decoder. To train this network, we created a sufficient number of paired data with a newly designed data generation. This process employs a K-nearest neighbour search that explores a predefined motion database to create the corresponding input to the ground truth. Once trained, the suggested model can connect various lengths of locomotion sequences into a single natural locomotion.     

面向服装面料自动缝合的缝纫工艺参数建模

为了解决缝纫中面料性能与缝纫加工工艺参数仅依靠技术工的经验完成匹配的问题，通过建立面料在缝纫过程中的多力场耦合模型智能选择缝纫加工工艺参数。以纬编织物为例，首先建立了织物单元的三维结构模型；其次分析了穿刺过程中织物组织与纱线间的抱合力对缝纫针的影响，并对面料在缝纫过程中的运动进行分析，创新性地建立了缝纫过程中基于面料力学性能的多力场耦合模型；然后建立了织物的有限元模型和缝纫针的几何模型，分析面料在缝纫过程中应力、应变的分布情况，得到面料在缝纫过程中因受外力作用而发生的形变并验证模型的正确性；最后搭建了协同自动缝纫实验平台进行实验验证数学多力场耦合模型的正确性。结果表明，该方法相比于工人凭借着经验完成缝纫可减少面料的形变和皱缩率，提高服装缝纫质量，为下一步服装面料自动缝合提供工艺参数，并为服装智能制造提供理论及技术参考。     

高反射镜表面疵病激光散射显微成像检测

反射镜表面疵病散射直接影响光学测试系统的性能、精度等多项重要指标。反射镜表面疵病的散射量可借助激光散射显微镜进行检测，为了保证整个系统的检测效率及精度要求，在硬件系统的设计上，设计显微物镜镜头、计算光斑的大小及CCD的功率谱响应；在软件系统的设计上，利用软件编写激光散射显微成像测试系统软件，能利用步进电机对反射镜表面进行扫描，同时控制图像采集卡采集图像并保存，重点研究如何快速有效地对采集到的子孔径图像进行精确配准，为后续图像的拼接处理奠定基础。通过分析整个测试系统的精度，×20倍率下能够分辨5~10 μm疵病。     

Asymmetrical Emissivity and Wettability in Stitching Treble Weave Metafabric for Synchronous Personal Thermal-Moisture Management

Developing textiles with passive thermal management is an effective strategy to maintain the human body healthy as well as decrease energy consumption. Personal thermal management (PTM) textiles with engineered constituent element and fabric structure have been developed, however the comfortability and robustness of these textiles remains a challenge due to the complexity of passive thermal-moisture management. Here a metafabric with asymmetrical stitching treble weave based on woven structure design and yarn functionalization is developed, in which the thermal radiation regulation and moisture-wicking can be achieved simultaneously throughout the dual-mode metafabric due to its optically regulated property, multi-branched through-porous structure and surface wetting difference. With simply flipping, the metafabric enables high solar reflectivity (87.6%) and IR emissivity (94%) in the cooling mode, and a low IR emissivity of 41.3% in the heating mode. When overheating and sweating, the cooling capacity reaches to ≈9 °C owing to the synergistic effect of radiation and evaporation. Moreover, the tensile strengths of the metafabric are 46.18 MPa (warp direction) and 37.59 MPa (weft direction), respectively. This work provides a facile strategy to fabricate multi-functional integrated metafabrics with much flexibility and thus has great potential for thermal management applications and sustainable energy.