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Self collision detection method based on triangle mesh deformation body

A self-collision detection and triangular mesh technology, applied in image data processing, instruments, etc., can solve the problems of module reusability, versatility, and cloth simulation with less consideration, long modeling design cycle, and large memory overhead. Achieve the effect of perfecting the simulation-self-collision process, speeding up the self-collision detection process, and improving accuracy and efficiency

Inactive Publication Date: 2012-07-25
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

However, the method of querying the data table has a large memory overhead and low system efficiency.
[0007] The above-mentioned self-collision detection method is not closely related to the needs of users, and has little consideration for the module reusability, versatility and cloth simulation of real-time modeling and simulation, which leads to inconvenient use for users, long modeling and design cycle, and brings difficulties to the research and development work. so much inconvenience

Method used

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  • Self collision detection method based on triangle mesh deformation body
  • Self collision detection method based on triangle mesh deformation body
  • Self collision detection method based on triangle mesh deformation body

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Embodiment Construction

[0020] The specific implementation process of the present invention includes steps: the step of self-collision detection preprocessing stage based on star profile, the step of self-collision detection real-time stage based on star profile, and the present invention also proposes a triangular mesh deformation-oriented Self-collision detection algorithm application. Such as image 3 shown.

[0021] The data used by the algorithm of the present invention is a triangular mesh model that is scanned and reconstructed by a three-dimensional laser scanner for a real model (such as a horse made of ceramics).

[0022] Step 1: The main task of the preprocessing stage of the star contour detection algorithm is to divide the grid and establish the data structure required for subsequent judgments. The data structure includes: extended hierarchical bounding volume (xBVH), self-collision detection tree (SCTT), Contour Fragment Forest (CSF). Such as image 3 shown.

[0023] (a) Mesh divis...

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Abstract

The invention discloses a self collision detection method based on a triangle mesh deformation body, comprising the steps of (1), constructing a data structure based on a hierarchical hounding volume (BVH); constructing an xBVH (expanded bounding volume hierarchy); constructing an SCTT (self-collision test tree)); optimizing star-shaped outline; (2), pre-processing self-collision detection based on the star-shaped outline; (3), performing self-collision test based on the star-shaped outline in real time. The method can detect the self-collision phenomenon during the deformation of the triangle mesh deformation body effectively in real time, accurately locates collision generation point and updates the collision information in real time.

Description

technical field [0001] The present invention belongs to the technical field of computer virtual reality, specifically starting from the actual demand of developing an interactive simulation system of deformable objects containing real details, and by studying the current situation of self-collision detection technology of deformable objects, for the convenience of users to carry out deformable A self-collision detection method or system for a triangular mesh deformable body developed for real deformation operation in solid modeling simulation. Background technique [0002] In the past two decades, researchers have done a lot of meaningful work in the field of collision detection, which has played a role in promoting the development of virtual reality. There are many types of collision detection algorithms, each with its own emphasis. Document 1-H.C.Longuet-Higgins, A computer algorithm for reconstructing a scene from two projections[J].Nature, 1981.293(10): 133-135 proposed...

Claims

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Application Information

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IPC IPC(8): G06T19/00
Inventor 沈旭昆赵凌郑小萌赵沁平
Owner BEIHANG UNIV
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