Accelerating Template-Based Matching on the GPU for AR Applications

Autor:	Yannick Allusse, Mark Billinghurst, Raphael Grasset
Rok vydání:	2007
Předmět:	business.industry Computer science Interface (computing) Template matching Image processing Context (language use) Pipeline (software) Computer graphics Computer engineering Computer vision Augmented reality Artificial intelligence Performance improvement business
Zdroj:	ISMAR
DOI:	10.1109/ismar.2007.4538862
Popis:	Recently researchers have shown that it is possible to use GPU hardware for image processing and computer vision algorithms. We have been exploring how to use GPU hardware to improve marker- based tracking for AR Applications. In this paper we describe our findings and explored issues in the context of a standard fiducial tracking pipeline. We demonstrate the implementation of a template matching process on the GPU and the performance improvement gained in comparison to a traditional CPU implementation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::64ece8989df92b54fbfd16949609501c https://doi.org/10.1109/ismar.2007.4538862 Zobrazit plný text záznamu