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Active Perception and Robot Vision

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Cover of 'Active Perception and Robot Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Motion Understanding Systems
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    Chapter 2 Reflections on Active (Machine) Vision
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    Chapter 3 Motion Parameter Estimation Using Correspondence Approach
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    Chapter 4 Active Vision Through Prediction-Error Minimization
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    Chapter 5 Representing Scenes Along a Route by a Moving Observer
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    Chapter 6 Gaze Behaviors for Robotics
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    Chapter 7 On Focus-of-Attention by Active Focusing
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    Chapter 8 Active Perception and 3D Object Recognition
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    Chapter 9 Symbolic Representation of Object Models
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    Chapter 10 Environment Models and Information Assimilation
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    Chapter 11 Scene Segmentation in the Framework of Active Perception
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    Chapter 12 A Neural Network Application for Classifying Surfaces
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    Chapter 13 Indexing via Color Histograms
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    Chapter 14 On the Design of Robot Vision Systems
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    Chapter 15 Parallel Vision
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    Chapter 16 Towards Parallel Processing of Multisensed Data
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    Chapter 17 Real-Time Vision for Autonomous and Teleoperated Control of Unmanned Vehicles
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    Chapter 18 Behavioral Knowledge in Sensor/Data Fusion Systems
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    Chapter 19 Group-Theoretic Approach to Motion Analysis for 3D Robotic Tracking
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    Chapter 20 Multi-Sensor Integration for Robots Interacting with Autonomous Objects
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    Chapter 21 Segmentation of Moving Objects
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    Chapter 22 Apparent Motions in Three-Dimensional Images
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    Chapter 23 Efficient Representation and High-Compression Coding of Image Sequences
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    Chapter 24 A New Paradigm for Computational Stereo
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    Chapter 25 Smoothing Range Data for Curvature Estimation
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    Chapter 26 Residual Analysis for Range Image Segmentation and Classification
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    Chapter 27 Using Curvature Information in the Decomposition and Representation of Planar Curves
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    Chapter 28 Investigation into Building an Invariant Surface Model from Sparse Data
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    Chapter 29 Form Features Recognition in a Multi-Level Representation Context
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    Chapter 30 Orientation and Spatial Occupancy Representations in Shape Analysis
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    Chapter 31 On Active Contour Models
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    Chapter 32 Templates and the Hough Transform
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    Chapter 33 Coefficient Focusing for the Moore-Penrose Associative Memory
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    Chapter 34 Object detection in noisy images
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    Chapter 35 Active Feature Localization
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    Chapter 36 Haptic Perception with a Robot Hand: Requirements and Realization
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    Chapter 37 Visual Techniques for the Controlled Movement of Docking
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    Chapter 38 Towards the Development of a Multisensorial Vision System: An Adaptive Approach to the Low-Level Phase
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    Chapter 39 Attributed Parallel Rewriting in Vision
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Title
Active Perception and Robot Vision
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-77225-2
ISBNs
978-3-64-277227-6, 978-3-64-277225-2
Editors

Sood, Arun K., Wechsler, Harry

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Professor 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Arts and Humanities 1 17%
Business, Management and Accounting 1 17%
Engineering 1 17%
Unknown 1 17%