Paper Info
Title
Accelerating Template-Based Matching on the GPU for AR Applications
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.
Year
DOI
Venue
2007
10.1109/ISMAR.2007.4538862
ISMAR
Keywords
Field
DocType
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,I.4.8 [Computing Methodologies]: Image Processing and Computer Vision¿Scene Analysis
Template matching,Computer vision,Fiducial marker,Computer graphics (images),Computer science,Image matching,Image processing,Augmented reality,Computer vision algorithms,Artificial intelligence,Computer graphics,Performance improvement
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Yannick Allusse1131.64
Grasset, Raphael242931.38
Mark Billinghurst35357542.78