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New Development in Robot Vision

Record Type:	Language materials, printed : Monograph/item
Title/Author:	New Development in Robot Vision/ edited by Yu Sun, Aman Behal, Chi-Kit Ronald Chung.
other author:	Sun, Yu.
Description:	XVIII, 199 p. 106 illus., 84 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Robotics. -
Online resource:	https://doi.org/10.1007/978-3-662-43859-6
ISBN:	9783662438596

New Development in Robot Vision
New Development in Robot Vision[electronic resource] /edited by Yu Sun, Aman Behal, Chi-Kit Ronald Chung. - 1st ed. 2015. - XVIII, 199 p. 106 illus., 84 illus. in color.online resource. - Cognitive Systems Monographs,231867-4925 ;. - Cognitive Systems Monographs,26.

Intensity-Difference Based Monocular Visual Odometry for Planetary Rovers -- Incremental Light Bundle Adjustment: Probabilistic Analysis and Application to Robotic Navigation -- Online Learning of Vision-Based Robot Control during Autonomous Operation -- Semantic and Spatial Content Fusion for Scene Recognition -- Modeling paired objects and their interaction -- Multi-modal Manhattan World Structure Estimation for Domestic Robots -- Improving RGB-D Scene Reconstruction Using Rolling Shutter Rectification -- RMSD: A 3D Real-time Mid-Level Scene Description System -- Probabilistic Active Recognition of Multiple Objects using Hough-based Geometric Matching Features.

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. .

ISBN: 9783662438596

Standard No.: 10.1007/978-3-662-43859-6doiSubjects--Topical Terms:

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

New Development in Robot Vision
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