Author

Ke-Chung Lai

Publication Date

1990

Document Type

Dissertation/Thesis

First Advisor

Wang, Ching-Cheng (Professor of industrial engineering)

Degree Name

M.S. (Master of Science)

Department

Department of Industrial Engineering

LCSH

Robot camera||Robot vision

Abstract

Active and passive machine vision applications in automated production have been explored. Among them are visual inspection, visual feedback control and navigation guidance. All require that mounting position of the vision camera and effective focal length be specified. The need for an efficient method which identifies on-site, effective focal length and mounting position of the vision camera is urgent. The thesis explores the monocular pose acquisition method. The vision camera sees well-structured object, which can be either a cube or a 2-D square plotted on a piece of paper of which the edge length is known. The monocular pose acquisition method determines both effective focal length and mounting position of the vision camera using the monocular image of the reference object gathered by the vision camera.

Comments

Includes bibliographical references (pages [79]-81)

Extent

viii, 89 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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