Target Image Matching Algorithm Based on Binocular CCD Ranging

Joint Authors

Zhang, Lijuan
Li, Dongming
Su, Wei
Yang, Jinhua

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-07-16

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

This paper proposed target image in a subpixel level matching algorithm for binocular CCD ranging, which is based on the principle of binocular CCD ranging.

In the paper, firstly, we introduced the ranging principle of the binocular ranging system and deduced a binocular parallax formula.

Secondly, we deduced the algorithm which was named improved cross-correlation matching algorithm and cubic surface fitting algorithm for target images matched, and it could achieve a subpixel level matching for binocular CCD ranging images.

Lastly, through experiment we have analyzed and verified the actual CCD ranging images, then analyzed the errors of the experimental results and corrected the formula of calculating system errors.

Experimental results showed that the actual measurement accuracy of a target within 3 km was higher than 0.52%, which meet the accuracy requirements of the high precision binocular ranging.

American Psychological Association (APA)

Li, Dongming& Su, Wei& Yang, Jinhua& Zhang, Lijuan. 2014. Target Image Matching Algorithm Based on Binocular CCD Ranging. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014774

Modern Language Association (MLA)

Li, Dongming…[et al.]. Target Image Matching Algorithm Based on Binocular CCD Ranging. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1014774

American Medical Association (AMA)

Li, Dongming& Su, Wei& Yang, Jinhua& Zhang, Lijuan. Target Image Matching Algorithm Based on Binocular CCD Ranging. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014774

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1014774