By Topic

A parallel region based object recognition system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bor-Yiing Su ; EECS Dept., Univ. of California, Berkeley, CA, USA ; Brutch, T.G. ; Keutzer, K.

Object recognition is a key problem in the field of computer vision. However, highly accurate object recognition systems are also computationally intensive, which limits their applicability. In this paper, we focus on a state-of-the-art object recognition system. We identify key computations of the system, examine efficient algorithms for parallelizing key computations, and develop a parallel object recognition system. The time taken by the training procedure on 127 images, with an average size of 0.15 M pixels, is reduced from 2332 seconds to 20 seconds. Similarly, the classification time of one 0.15 M pixel image is reduced from 331 seconds to 2.78 seconds. This efficient implementation of the object recognition system now makes it practical to train hundreds of images within minutes, and makes it possible to analyze image databases with hundreds or thousands of images in minutes, which was previously not possible.

Published in:

Applications of Computer Vision (WACV), 2011 IEEE Workshop on

Date of Conference:

5-7 Jan. 2011