GPU-based Motion Matching for Crowds in the Unreal Engine

Autor: Nagaraj Raparthi, Tim McLaughlin, Alan Liu, Eric Acosta
Rok vydání: 2020
Předmět:
Zdroj: SIGGRAPH Asia Posters
DOI: 10.1145/3415264.3425474
Popis: Motion Matching is a computationally expensive animation selection process where a motion capture database is regularly searched to identify the best frame of animation to be played. This study presents a process used to compute these calculations in parallel by using multiple GPU threads. The described work is shown to greatly reduce the computational time of CPU - based Motion Matching within the Unreal Engine.
Databáze: OpenAIRE