Robustness Problem Argumentation from Image Quantization Errors in Vision Location

Abstract:

Article Preview

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:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.