Method for predicting collision detection based on neural network

Abstract

The invention belongs to the field of virtual simulation collision detection, and particularly relates to a method for predicting collision detection based on a neural network. The method comprises the following steps: firstly, within a time step length, inputting the movement position of cloth particles and the position of a collided triangle into a neural network; secondly, utilizing a neural network to predict whether cloth particles collide with triangular patches or not; finally, carrying out collision response on the collided particles, and obtaining the final positions of the particles.Compared with a traditional physical collision detection method, the method has the advantages that on the premise that the cloth simulation authenticity is guaranteed, the detection speed of the algorithm is remarkably increased along with increase of the collision detection difficulty, meanwhile, higher stability is shown, and the requirement of a user for real-time performance is met.

Description

technical field [0001] The invention belongs to the field of virtual simulation collision detection, in particular to a method for predicting collision detection based on a neural network. Background technique [0002] The collision detection algorithm is to prevent the penetration of objects in the virtual environment, and it has a wide range of applications in the fields of computer graphics, film and television animation, and virtual reality. Authenticity and real-time performance have always been two key issues in researching collision detection. Authenticity requires that the algorithm can accurately represent the characteristics of objects, and real-time requires that the algorithm has fast computing power. In order to ensure the smoothness of the simulation effect, the cloth needs to complete the collision processing in a short time step. Every movement of the cloth will generate a large number of collision detections with other objects, and the calculation of colli...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for predicting collision detection based on neural network, aiming to solve the problem that the existing collision detection technology generally improves efficiency through the bounding box algorithm, but considers less in terms of using neural network to improve efficiency. Under the premise of ensuring the authenticity of cloth simulation, the neural network algorithm is used to optimize the efficiency of cloth collision detection, comprehensively considering authenticity and real-time performance, and improving the quality of cloth simulation

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