Knowledge-Based Vision-Guided Robots [electronic resource] /

Many robotics researchers consider high-level vision algorithms (computational) too expensive for use in robot guidance. This book introduces the reader to an alternative approach to perception for autonomous, mobile robots. It explores how to apply methods of high-level computer vision and fuzzy logic to the guidance and control of the mobile robot. The book introduces a knowledge-based approach to vision modeling for robot guidance, where advantage is taken of constraints of the robot's physical structure, the tasks it performs, and the environments it works in. This facilitates high-level computer vision algorithms such as object recognition at a speed that is sufficient for real-time navigation. The texts presents algorithms that exploit these constraints at all levels of vision, from image processing to model construction and matching, as well as shape recovery. These algorithms are demonstrated in the navigation of a wheeled mobile robot.

Bibliographic Details

Main Authors:	Barnes, Nick. author., Liu, Zhi-Qiang. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002
Subjects:	Computer science., Artificial intelligence., Computer graphics., Image processing., Computer Science., Artificial Intelligence (incl. Robotics)., Computer Imaging, Vision, Pattern Recognition and Graphics., Image Processing and Computer Vision.,
Online Access:	http://dx.doi.org/10.1007/978-3-7908-1780-5
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