3d Motion Estimation In Dynamic Simulation Of Fabric

Three-dimensional dynamic simulation of fabric is an important research direction of computer science, it has a wide application areas such as clothing design, electronic games, 3D animation, e-commerce, virtual reality and so on. It helped enhance the user experience of the virtual platform operations, has the important practical significance, an enormous economic and social benefits.This paper studies the three-dimensional simulation of fabric technology, presents a new approach, using computer vision technology combined with the physical model-based simulation method for simulation of the fabric , provides a new analytical methods and means to improve the fabric dynamic simulation technology level. The main contents of this paper are:1) A comprehensive overview of fabric three-dimensional dynamic simulation of the status quo were given, and pointed out the difficulty of the subject and put forward a new idea, in order to lay the foundation for further in-depth study.2) Analysised spring-mass model based on physics models, then described the theoretical details and the detailed numerical solution of the equations of motion methods (including explicit Euler method, explicit midpoint method and RK4), as well as the concrete realization in the systemalgorithm, then introduced the need to overcome the super-elastic problems in order to meet the real-time simulation requirements, and describes the main two kinds of solution, Finally, the experimental results were given, and pointed out the limitations of physics-based model approach.3) Adopted SIFT feature points matching algorithm for feature points extraction and matching in two-dimensional moving images on the fabric sequence, provided data for the subsequent three-dimensional motion parameter estimation.4) Proposed hierarchical Markov Random Field and improved simulated annealing algorithm for three-dimensional motion estimation methods, and established a MRF model and feature points correspond to the motion estimation, motion parameters to construct the joint probability distribution of the energy function to reflect the three-dimensional motion parameters between the constraint relations, and proposed an improved simulated annealing algorithm, through minimization of energy function to estimate the motion parameters, finally, the experimental results were given, and compared the simple physical model simulation results.