Adaptive Multi-scale Vision System for Robotic Applications

Author

Barta, András ; Vajk, István

Author_Institution

Dept. of Autom. & Appl. Informatics, Budapest Univ. of Technol. & Econ. Syst.

fYear

2006

fDate

3-5 July 2006

Firstpage

468

Lastpage

472

Abstract

The paper proposes a system for adaptive multi-scale processing of visual information. The system consists of several components: a hierarchical dynamic graph structure, a network inference algorithm and for low level processing a wavelet based disk transform. The presented system implements a two level data structure. For the high level processing a dynamic tree structure and a Bayesian inference algorithm is used. Every node contains not only position but also scale and rotation information. At the low level it uses hierarchical structure of quadratic spline wavelet image bases

Keywords

adaptive systems; belief networks; graph theory; image processing; inference mechanisms; robot vision; tree data structures; wavelet transforms; Bayesian inference algorithm; adaptive multiscale vision system; adaptive multiscale visual information processing; data structure; dynamic tree structure; hierarchical dynamic graph structure; network inference algorithm; quadratic spline wavelet image bases; robotic applications; wavelet based disk transform; Adaptive systems; Bayesian methods; Data structures; Inference algorithms; Informatics; Machine vision; Robot vision systems; Robotics and automation; Tree data structures; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics, 2006 IEEE International Conference on

Conference_Location

Budapest

Print_ISBN

0-7803-9712-6

Electronic_ISBN

0-7803-9713-4

Type

conf

DOI

10.1109/ICMECH.2006.252572

Filename

4018407