New Development in Robot Vision

  • Yu Sun
  • Aman Behal
  • Chi-Kit Ronald Chung

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

Table of contents

  1. Front Matter
    Pages 1-15
  2. Kai Zhou, Karthik Mahesh Varadarajan, Michael Zillich, Markus Vincze
    Pages 1-17
  3. Kristiyan Georgiev, Rolf Lakaemper
    Pages 19-31
  4. Elahe Farahzadeh, Tat-Jen Cham, Wanqing Li
    Pages 33-53
  5. Hannes Ovrén, Per-Erik Forssén, David Törnqvist
    Pages 55-71
  6. Yu Sun, Yun Lin
    Pages 73-87
  7. Natasha Govender, Philip Torr, Mogomotsi Keaikitse, Fred Nicolls, Jonathan Warrell
    Pages 89-109
  8. Kristoffer Öfjäll, Michael Felsberg
    Pages 137-156
  9. Back Matter
    Pages 199-199

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.



Computer Vision Image-Guided Robot Interventions Range Imaging -- RGB-D Robot Vision Robot Visual Tracking Robotics Vision for Haptics Vision to Motion Vision-Based Navigation

Editors and affiliations

  • Yu Sun
    • 1
  • Aman Behal
    • 2
  • Chi-Kit Ronald Chung
    • 3
  1. 1.Computer Science and EngineeringUniversity of South FloridaTampa, FLUSA
  2. 2.Electrical and Computer Engineering and NanoScience Technology CenterUniversity of Central FloridaOrlando, FLUSA
  3. 3.Dept. of Mech. and Automation Eng.Vocational Training Council of Hong KongHong KongChina

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-662-43858-9
  • Online ISBN 978-3-662-43859-6
  • Series Print ISSN 1867-4925
  • Series Online ISSN 1867-4933
  • Buy this book on publisher's site