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.

• Periodical: Advanced Materials Research (Volumes 225-226)
• Pages: 1332-1335
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.225-226.1332
• Online since: April 2011
• Authors: Li Juan Qin
• Keywords: Image Quantization Errors, Location, Robustness

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