Home
Scholarly Works
Geometrical Analysis of Altitude Estimation Error...
Conference

Geometrical Analysis of Altitude Estimation Error Caused by Pixel Quantization in Stereo Vision

Abstract

Determining location of a target in a specific region is an important goal in some machine vision applications. The accuracy of the target localization is related to a number of parameters. Quantization process in the CCD of a camera node is one of the sources of error which results in achieving an estimation of the target location instead of its exact position. In this paper, we present a geometrical approach to analyze this error. The proposed approach models the field of view of each pixel as an oblique cone. Thus the ambiguity in localization, via two cameras with arbitrary configurations, is considered by intersection of two oblique cones. In this paper we utilize the difference between the maximum and minimum points of the cones intersection, in all three dimensions, as a criterion of error estimation. In order to determine the extremum points, the Lagrangain method is used. We show the validity of our model through simulations. Also, we analyze the effect of varying many parameters such as the baseline length, focal length, and pixel size, on the amount of the estimation error.

Authors

Fooladgar F; Samavi S; Soroushmehr SMR

Volume

1

Pagination

pp. 701-705

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2012

DOI

10.1109/iraniancee.2012.6292444

Name of conference

20th Iranian Conference on Electrical Engineering (ICEE2012)
View published work (Non-McMaster Users)

Contact the Experts team