A 3-D vision algorithm for robot applications

Author

Xue, Kefu ; Brecha, Dave

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

fYear

1989

fDate

0-0 1989

Firstpage

11

Lastpage

14

Abstract

A three-dimensional (3-D) vision algorithm using an off-shelf system with two cameras for robot applications is presented. The 3-D vision algorithm can be trained to recognize a 3-D object from a scene and input the center of location, the orientation, and the dimensions of the object to a robot control system. Taking advantage of the hard-wired fst blob analysis algorithm and the hard-wired fast correlation search algorithm from an off-shelf computer vision system, an object can be recognized, located, and measured in seconds. This model-based 3-D vision algorithm also features automatic calibration, adaptive histogram analysis to reduce light interference from other sources, and a menu-driven model database.<>

Keywords

calibration; computer vision; control systems; robots; 3-D vision algorithm; Cognex 2000; adaptive histogram analysis; automatic calibration; center of location; computer vision system; hard-wired fast correlation search algorithm; hard-wired fst blob analysis algorithm; image preprocessing; image segmentation; light interference; menu-driven model database; orientation; robot applications; robot control system; Calibration; Control systems; Machine vision; Robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering, 1989., IEEE International Conference on

Conference_Location

Fairborn, OH, USA

Type

conf

DOI

10.1109/ICSYSE.1989.48609

Filename

48609