Robotic Vision: Technologies for Machine Learning and Vision Applications

Robotic Vision: Technologies for Machine Learning and Vision Applications

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Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.These are used to identify the vehicle identification number (VIN) and the license plate number. As an example a single ... Matlab 7.04 is used for simulating the algorithms. This code can be embedded in the processing unit attached to the video camera unit. The ROI consisting of only the ... This will refine the characters in the VIN which are used for character recognition purpose. The ROI obtained afteranbsp;...


Title:Robotic Vision: Technologies for Machine Learning and Vision Applications
Author: Garcia-Rodriguez, Jose
Publisher:IGI Global - 2012-12-31
ISBN-13:

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