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Books

Featuring books by Centre Director Professor Peter Corke and Chief Investigator Professor Richard Hartley.

Robotics, Vision and Control: Fundamental Algorithms In MATLAB® (second edition)

Robotics, Vision and Control: Fundamental Algorithms In MATLAB® (second edition)

Peter Corke, Springer 2017

Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing.

Multiple View Geometry in Computer Vision (second edition)

Multiple View Geometry in Computer Vision (second edition)

Richard Hartley and Andrew Zisserman, Cambridge University Press, March 2004

A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms.

Robotics, Vision and Control (first edition)

Robotics, Vision and Control (first edition)

Peter Corke, Springer 2011

The practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers.

Australian Centre for Robotic Vision
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