Paper
15 March 1994 Adaptive control of camera position for stereo vision
Jill D. Crisman, Michael E. Cleary
Author Affiliations +
Proceedings Volume 2065, Optics, Illumination, and Image Sensing for Machine Vision VIII; (1994) https://doi.org/10.1117/12.169378
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
A major problem in using two-camera stereo machine vision to perform real-world tasks, such as visual object tracking, is deciding where to position the cameras. Humans accomplish the analogous task by positioning their heads and eyes for optimal stereo effects. This paper describes recent work toward developing automated control strategies for camera motion in stereo machine vision systems for mobile robot navigation. Our goal is to achieve fast, reliable pursuit of a target while avoiding obstacles. Our strategy results in smooth, stable camera motion despite robot and target motion. Our algorithm has been shown to be successful at navigating a mobile robot, mediating visual target tracking and ultrasonic obstacle detection. The architecture, hardware, and simulation results are discussed.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jill D. Crisman and Michael E. Cleary "Adaptive control of camera position for stereo vision", Proc. SPIE 2065, Optics, Illumination, and Image Sensing for Machine Vision VIII, (15 March 1994); https://doi.org/10.1117/12.169378
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Head

Motion models

Sensors

Mobile robots

Visualization

Optical tracking

RELATED CONTENT


Back to Top