NDLI: A Real Time Augmented Reality System Using GPU Acceleration

Content Provider	IEEE Xplore Digital Library
Author	Tam, D.C.C. Fiala, M.
Copyright Year	2012
Abstract	Augmented Reality (AR) is an application of computer vision that is processor intensive and typically suffers from a trade-off between robust view alignment and real time performance. Real time AR that can function robustly in variable environments is a process difficult to achieve on a PC (personal computer) let alone on the mobile devices that will likely be where AR is adopted as a consumer application. Despite the availability of high quality feature matching algorithms such as SIFT, SURF and robust pose estimation algorithms such as EPNP, practical AR systems today rely on older methods such as Harris/KLT corners and template matching for performance reasons. SIFT-like algorithms are typically used only to initialize tracking by these methods. We demonstrate a practical system with real ime performance using only SURF without the need for tracking. We achieve this with extensive use of the Graphics Processing Unit (GPU) now prevalent in PC's. Due to mobile devices becoming equipped with GPU's we believe that this architecture will lead to practical robust AR.
Starting Page	101
Ending Page	108
File Size	2063934
Page Count	8
File Format	PDF
ISBN	9781467312714
DOI	10.1109/CRV.2012.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-28
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Computers CUDA feature detection Instruction sets real-time Cameras Feature extraction augmented reality Vectors GPU Graphics processing unit
Content Type	Text
Resource Type	Article

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