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New Development in Robot Vision

  • Book
  • © 2015

Overview

Editors:
  1. Yu Sun

    1. Computer Science and Engineering, University of South Florida, Tampa, FL, USA

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  2. Aman Behal

    1. Electrical and Computer Engineering and NanoScience Technology Center, University of Central Florida, Orlando, FL, USA

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  3. Chi-Kit Ronald Chung

    1. Dept. of Mech. and Automation Eng., Vocational Training Council of Hong Kong, Hong Kong, China

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    You can also search for this editor in PubMed   Google Scholar

  • Recent Research in Robot Vision
  • Edited outcome of the IEEE Workshop on Robot Vision which took place in Tampa Bay, Florida in January 2013
  • Written by leading experts in the field

Part of the book series: Cognitive Systems Monographs (COSMOS, volume 23)

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Table of contents (10 chapters)

  1. Front Matter

    Pages 1-15
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  2. Multi-modal Manhattan World Structure Estimation for Domestic Robots

    • Kai Zhou, Karthik Mahesh Varadarajan, Michael Zillich, Markus Vincze
    Pages 1-17

  3. RMSD: A 3D Real-Time Mid-level Scene Description System

    • Kristiyan Georgiev, Rolf Lakaemper
    Pages 19-31

  4. Semantic and Spatial Content Fusion for Scene Recognition

    • Elahe Farahzadeh, Tat-Jen Cham, Wanqing Li
    Pages 33-53

  5. Improving RGB-D Scene Reconstruction Using Rolling Shutter Rectification

    • Hannes Ovrén, Per-Erik Forssén, David Törnqvist
    Pages 55-71

  6. Modeling Paired Objects and Their Interaction

    • Yu Sun, Yun Lin
    Pages 73-87

  7. Probabilistic Active Recognition of Multiple Objects Using Hough-Based Geometric Matching Features

    • Natasha Govender, Philip Torr, Mogomotsi Keaikitse, Fred Nicolls, Jonathan Warrell
    Pages 89-109

  8. Incremental Light Bundle Adjustment: Probabilistic Analysis and Application to Robotic Navigation

    • Vadim Indelman, Frank Dellaert
    Pages 111-136

  9. Online Learning of Vision-Based Robot Control during Autonomous Operation

    • Kristoffer Öfjäll, Michael Felsberg
    Pages 137-156

  10. 3D Space Automated Aligning Task Performed by a Microassembly System Based on Multi-channel Microscope Vision Systems

    • Zhengtao Zhang, De Xu, Juan Zhang
    Pages 157-180

  11. Intensity-Difference Based Monocular Visual Odometry for Planetary Rovers

    • Geovanni Martinez
    Pages 181-198

  12. Back Matter

    Pages 199-199
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Keywords

About this book

The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.

 

Editors and Affiliations

  • Computer Science and Engineering, University of South Florida, Tampa, FL, USA

    Yu Sun

  • Electrical and Computer Engineering and NanoScience Technology Center, University of Central Florida, Orlando, FL, USA

    Aman Behal

  • Dept. of Mech. and Automation Eng., Vocational Training Council of Hong Kong, Hong Kong, China

    Chi-Kit Ronald Chung

Bibliographic Information

  • Book Title: New Development in Robot Vision

  • Editors: Yu Sun, Aman Behal, Chi-Kit Ronald Chung

  • Series Title: Cognitive Systems Monographs

  • DOI: https://doi.org/10.1007/978-3-662-43859-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2015

  • Hardcover ISBN: 978-3-662-43858-9Published: 08 October 2014

  • Softcover ISBN: 978-3-662-52273-8Published: 10 September 2016

  • eBook ISBN: 978-3-662-43859-6Published: 26 September 2014

  • Series ISSN: 1867-4925

  • Series E-ISSN: 1867-4933

  • Edition Number: 1

  • Number of Pages: XVIII, 199

  • Number of Illustrations: 22 b/w illustrations, 84 illustrations in colour

  • Topics: Robotics and Automation, Artificial Intelligence, Image Processing and Computer Vision

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