Paper Title:
Optimization Algorithms for Local Features
  Abstract

Feature spaces optimization plays a very important role in object recognition and categorization. After analyzing of several fashionable local features at present, some optimization algorithms based on the information theory are proposed. In this paper, we describe the approaches to recognize generic objects using these features which have been optimized. As baselines for comparison, we also implemented some additional recognition systems using other optimization algorithms. The performance analysis on the obtained experimental results demonstrates that the proposed optimization algorithms are effective and efficient.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
921-924
DOI
10.4028/www.scientific.net/AMR.225-226.921
Citation
J. Cao, H. Q. Chen, M. Y. Mao, "Optimization Algorithms for Local Features", Advanced Materials Research, Vols. 225-226, pp. 921-924, 2011
Online since
April 2011
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Price
$32.00
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