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RGB-D Image Analysis and Processing

Overview of attention for book
Cover of 'RGB-D Image Analysis and Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Commodity RGB-D Sensors: Data Acquisition
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    Chapter 2 Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation
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    Chapter 3 Depth Super-Resolution with Color Guidance: A Review
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    Chapter 4 RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applications
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    Chapter 5 3D Reconstruction from RGB-D Data
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    Chapter 6 RGB-D Odometry and SLAM
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    Chapter 7 Enhancing 3D Capture with Multiple Depth Camera Systems: A State-of-the-Art Report
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    Chapter 8 RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques
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    Chapter 9 RGB-D Salient Object Detection: A Review
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    Chapter 10 Foreground Detection and Segmentation in RGB-D Images
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    Chapter 11 Instance- and Category-Level 6D Object Pose Estimation
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    Chapter 12 Geometric and Semantic Modeling from RGB-D Data
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    Chapter 13 Semantic RGB-D Perception for Cognitive Service Robots
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    Chapter 14 RGB-D Sensors and Signal Processing for Fall Detection
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    Chapter 15 RGB-D Interactive Systems on Serious Games for Motor Rehabilitation Therapy and Therapeutic Measurements
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    Chapter 16 Real-Time Hand Pose Estimation Using Depth Camera
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    Chapter 17 RGB-D Object Classification for Autonomous Driving Perception
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    Chapter 18 People Counting in Crowded Environment and Re-identification
Overall attention for this book and its chapters
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Mentioned by

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5 tweeters

Citations

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Readers on

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4 Mendeley
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Title
RGB-D Image Analysis and Processing
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-28603-3
ISBNs
978-3-03-028602-6, 978-3-03-028603-3
Editors

Rosin, Paul L., Lai, Yu-Kun, Shao, Ling, Liu, Yonghuai

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Master 2 50%
Student > Bachelor 1 25%
Readers by discipline Count As %
Computer Science 5 125%