Paper Title:
Robustness Problem Argumentation from Image Quantization Errors in Vision Location
  Abstract

In our vision location system, error is inevitable. Image quantization errors play an important role in computer vision field. Quantization errors are the primary sources that affect the precision of pose estimation and they are inherent and unavoidable. It is important to analysis on the effect of this error on compute process. In this paper, Robustness problem argumentation in vision location is presented in detail. Then we introduce image quantization error. Robustness mathematical model for vision location is set up at last.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1332-1335
DOI
10.4028/www.scientific.net/AMR.225-226.1332
Citation
L. J. Qin, "Robustness Problem Argumentation from Image Quantization Errors in Vision Location", Advanced Materials Research, Vols. 225-226, pp. 1332-1335, 2011
Online since
April 2011
Authors
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Price
$32.00
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