DocumentCode
1725539
Title
Accelerating Template-Based Matching on the GPU for AR Applications
Author
Allusse, Yannick ; Grasset, Raphäel ; Billinghurst, Mark
Author_Institution
HIT Lab. NZ, Univ. of Canterbury, Christchurch
fYear
2007
Firstpage
271
Lastpage
272
Abstract
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.
Keywords
augmented reality; computer graphics; computer vision; image matching; AR applications; GPU hardware; augmented reality; computer vision; fiducial tracking pipeline; image processing; marker-based tracking; template-based matching; Acceleration; Application software; Computer vision; Costs; Hardware; Image processing; Libraries; Pattern matching; Pipelines; Robustness; I.4.8 [Computing Methodologies]: Image Processing and Computer Vision¿Scene Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on
Conference_Location
Nara
Print_ISBN
978-1-4244-1749-0
Electronic_ISBN
978-1-4244-1750-6
Type
conf
DOI
10.1109/ISMAR.2007.4538862
Filename
4538862
Link To Document