CAJ | 학술논문

针对在进行复杂织物建模过程中，会遇到织物组织无序移动，造成建模效果不好等问题，提出了基于约束神经网络的三维织物运动建模方法。通过分析织物运作中特征点运动的对应关系，构造了一个可用于对织物形变进行准确估计的约束神经网络，添加可以对三维织物运动参数进行控制的约束关系，完成复杂无序运动下的三维织物计算机模拟。实验结果表明，本文的方法能够较好地模拟三维织物，取得了较好的效果。
침대재진행복잡직물건모과정중，회우도직물조직무서이동，조성건모효과불호등문제，제출료기우약속신경망락적삼유직물운동건모방법。통과분석직물운작중특정점운동적대응관계，구조료일개가용우대직물형변진행준학고계적약속신경망락，첨가가이대삼유직물운동삼수진행공제적약속관계，완성복잡무서운동하적삼유직물계산궤모의。실험결과표명，본문적방법능구교호지모의삼유직물，취득료교호적효과。
Based on the complex fabric modeling process, will meet fabric organization disorderly move, resulting in the modeling result is bad, etc., and puts forward neural network based on the constraint of 3 d fabric movement modeling methods. Through the analysis of fabric operation feature point motion corresponding relation, construct a can be used for fabric deformation accurately estimated constraint neural network, add to 3 d fabric kinematic parameters for the control of the constraint relations. Complete complex disordered motion of 3 d fabric computer simulation, later the experiment results show that the method can better simulation of 3 d fabric, and good results have been achieved.