Beyond pixels: applying the GPU to accelerate computer vision

James Fung

doi:10.1117/12.844078

18 January 2010 Beyond pixels: applying the GPU to accelerate computer vision

James Fung

Proceedings Volume 7543, Visual Information Processing and Communication; 754306 (2010) https://doi.org/10.1117/12.844078
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

As a massively parallel processor, the GPU is well-suited for performing 'per-pixel' operations in image processing and computer vision. New developments in hardware, software, and algorithm mappings now allow entire vision algorithms to be performed exclusively on GPU. In this paper we present the GPU mapping of a natural image feature processing pipeline used in an image stitching application. We examine how to utilize hardware features on the GPU for efficient processing to demonstrate how GPU programming now goes beyond per-pixel mappings, and is providing speedups in image feature processing, and matching.

Citation Download Citation

James Fung "Beyond pixels: applying the GPU to accelerate computer vision", Proc. SPIE 7543, Visual Information Processing and Communication, 754306 (18 January 2010); https://doi.org/10.1117/12.844078

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available