Eigenspace technique in stereo vision matching processing for autonomous navigation

Author

Ranjbaran, Ali ; Abu Hassan, Anwar Hasni ; Kheng, Eng Swee

Author_Institution

Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia

fYear

2011

fDate

21-22 June 2011

Firstpage

328

Lastpage

332

Abstract

A new method in correspondence problem for two cameras stereo vision system is proposed in this paper. Reduction noise effect and computation time are the core of our investigation. In direction to reduce noise we transfer two left and right images to two correspondence vectors. The transferred vectors then construct a 2×2 matrix. The algorithm is mainly based on matrix space concept and eigenspace decomposition of the matrix. The main assumption is that the two cameras are arranged horizontally so that correspondences points are distributed in horizon direction. Some practical examples presented to evaluate our investigation.

Keywords

cameras; eigenvalues and eigenfunctions; image denoising; image matching; image sensors; matrix decomposition; navigation; stereo image processing; autonomous navigation; cameras stereo vision system; eigenspace technique; matrix eigenspace decomposition; matrix space concept; noise effect reduction; stereo vision matching processing; Cameras; Computer vision; Cost function; Covariance matrix; Matrix decomposition; Stereo vision; Vectors; Correspondence points; eigenvalue; eigenvector;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Control and Computer Engineering (INECCE), 2011 International Conference on

Conference_Location

Pahang

Print_ISBN

978-1-61284-229-5

Type

conf

DOI

10.1109/INECCE.2011.5953901

Filename

5953901