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Consumer Depth Cameras for Computer Vision

Overview of attention for book
Cover of 'Consumer Depth Cameras for Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 3D with Kinect
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    Chapter 2 Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover
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    Chapter 3 A Brute Force Approach to Depth Camera Odometry
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    Chapter 4 Key Developments in Human Pose Estimation for Kinect
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    Chapter 5 A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
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    Chapter 6 Home 3D Body Scans from a Single Kinect
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    Chapter 7 Real Time Hand Pose Estimation Using Depth Sensors
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    Chapter 8 A Category-Level 3D Object Dataset: Putting the Kinect to Work
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    Chapter 9 RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark
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    Chapter 10 RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition
Attention for Chapter 10: RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition
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