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Springer Tracts in Advanced Robotics Ser.: Visual Perception and Robotic Manipulation : 3D Object Recognition, Tracking and Hand-Eye Coordination by Lindsay Kleeman and Geoffrey Taylor (2006, Mixed Media)
As autonomous robots expand into the service domain, new solutions to the challenge of operating in domestic environments must be developed. Widespread adoption of service robots demands high robustness to environmental change and operational wear, and minimal reliance on application specific knowledge. As such, rich sensing modalities such as vision will play a central role in their success. This book takes steps towards the realization of domestic robots by presenting an integrated systems view of computer vision and robotics, covering fundamental topics including optimal sensor design, visual servoing, 3D object modelling and recognition, and multi-cue tracking, with a solid emphasis on robustness throughout. With in-depth treatment of both theory and implementation, extensive experimental results and comprehensive multimedia support including video clips, VRML data, C++ code and lecture slides, this book has wide appeal to both theoretical and practical roboticists and stands as a valuable teaching resource.
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3540334548
ISBN-13
9783540334545
eBay Product ID (ePID)
57072333
Product Key Features
Author
Lindsay Kleeman, Geoffrey Taylor
Publication Name
Visual Perception and Robotic Manipulation : 3D Object Recognition, Tracking and Hand-Eye Coordination
Format
Mixed Lot
Language
English
Series
Springer Tracts in Advanced Robotics Ser.
Publication Year
2006
Type
Textbook
Number of Pages
Xxv, 218 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
20.7 Oz
Additional Product Features
Series Volume Number
26
Number of Volumes
1 Vol.
Lc Classification Number
Tj212-225
Table of Content
Foundations of Visual Perception and Control.- Shape Recovery Using Robust Light Stripe Scanning.- 3D Object Modelling and Classification.- Multi-cue 3D Model-Based Object Tracking.- Hybrid Position-Based Visual Servoing.- System Integration and Experimental Results.- Summary and Future Work.