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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Vydáno v:International journal of cognitive informatics & natural intelligence Ročník 18; číslo 1; s. 1 - 13
Hlavní autoři: Yue, Xuezhi, Fan, Ye, Zeng, Yuan, Fan, Weitao, Zhou, Luhui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hershey IGI Global 01.01.2024
Témata:
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
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1557-3958
1557-3966
DOI:10.4018/IJCINI.345655