An Improved Fast Collision Detection Algorithm for Human Models Based on Hybrid Bounding Boxes

This article analyzes the commonly used collision detection methods in game engines and designs a hybrid bounding box structure that is more suitable for human models based on their motion characteristics. In addition, this article also optimized the collision response algorithm after the system det...

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Bibliographic Details
Published in:International journal of cognitive informatics & natural intelligence Vol. 18; no. 1; pp. 1 - 13
Main Authors: Yue, Xuezhi, Fan, Ye, Zeng, Yuan, Fan, Weitao, Zhou, Luhui
Format: Journal Article
Language:English
Published: Hershey IGI Global 01.01.2024
Subjects:
Algorithms
Boxes
Computer graphics
Design
Designers
Engines
Games
Geometry
Human motion
Hybrid systems
Informatics
Motion perception
Physics
Realism
Virtual environments
ISSN:1557-3958, 1557-3966
Online Access:Get full text
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Summary:This article analyzes the commonly used collision detection methods in game engines and designs a hybrid bounding box structure that is more suitable for human models based on their motion characteristics. In addition, this article also optimized the collision response algorithm after the system detects collisions, making the collision response process faster. Through experimental analysis, this approach has a good effect in addressing the problem of model penetration caused by continuously changing the model posture in shooting games; it also avoids the game fairness problem caused by model penetration and improves the realism of the game's virtual environment.
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ISSN:1557-3958
1557-3966
DOI:10.4018/IJCINI.345655