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
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;
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
DOI :
10.1109/ISMAR.2007.4538862
