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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.

Table of Contents

Frontmatter

2015 | OriginalPaper | Chapter

Multi-modal Manhattan World Structure Estimation for Domestic Robots

Kai Zhou, Karthik Mahesh Varadarajan, Michael Zillich, Markus Vincze

2015 | OriginalPaper | Chapter

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

Kristiyan Georgiev, Rolf Lakaemper

2015 | OriginalPaper | Chapter

Semantic and Spatial Content Fusion for Scene Recognition

Elahe Farahzadeh, Tat-Jen Cham, Wanqing Li

2015 | OriginalPaper | Chapter

Improving RGB-D Scene Reconstruction Using Rolling Shutter Rectification

Hannes Ovrén, Per-Erik Forssén, David Törnqvist

2015 | OriginalPaper | Chapter

Modeling Paired Objects and Their Interaction

Yu Sun, Yun Lin

2015 | OriginalPaper | Chapter

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

Natasha Govender, Philip Torr, Mogomotsi Keaikitse, Fred Nicolls, Jonathan Warrell

2015 | OriginalPaper | Chapter

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

Vadim Indelman, Frank Dellaert

2015 | OriginalPaper | Chapter

Online Learning of Vision-Based Robot Control during Autonomous Operation

Kristoffer Öfjäll, Michael Felsberg

2015 | OriginalPaper | Chapter

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

Zhengtao Zhang, De Xu, Juan Zhang

2015 | OriginalPaper | Chapter

Intensity-Difference Based Monocular Visual Odometry for Planetary Rovers

Geovanni Martinez

Backmatter

Additional information