Computer Vision and Machine Learning with RGB-D Sensors

Editors:

ISBN: 978-3-319-08650-7 (Print) 978-3-319-08651-4 (Online)

Table of contents (14 chapters)

  1. Front Matter

    Pages i-x

  2. Surveys

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-26

      3D Depth Cameras in Vision: Benefits and Limitations of the Hardware

    3. No Access

      Chapter

      Pages 27-44

      A State of the Art Report on Multiple RGB-D Sensor Research and on Publicly Available RGB-D Datasets

  3. Reconstruction, Mapping and Synthesis

    1. Front Matter

      Pages 45-45

    2. No Access

      Chapter

      Pages 47-64

      Calibration Between Depth and Color Sensors for Commodity Depth Cameras

    3. No Access

      Chapter

      Pages 65-89

      Depth Map Denoising via CDT-Based Joint Bilateral Filter

    4. No Access

      Chapter

      Pages 91-108

      Human Performance Capture Using Multiple Handheld Kinects

    5. No Access

      Chapter

      Pages 109-135

      Human-Centered 3D Home Applications via Low-Cost RGBD Cameras

    6. No Access

      Chapter

      Pages 137-155

      Matching of 3D Objects Based on 3D Curves

    7. No Access

      Chapter

      Pages 157-169

      Using Sparse Optical Flow for Two-Phase Gas Flow Capturing with Multiple Kinect

  4. Detection, Segmentation and Tracking

    1. Front Matter

      Pages 171-171

    2. No Access

      Chapter

      Pages 173-194

      RGB-D Sensor-Based Computer Vision Assistive Technology for Visually Impaired Persons

    3. No Access

      Chapter

      Pages 195-211

      RGB-D Human Identification and Tracking in a Smart Environment

  5. Learning-based Recognition

    1. Front Matter

      Pages 213-213

    2. No Access

      Chapter

      Pages 215-237

      Feature Descriptors for Depth-Based Hand Gesture Recognition

    3. No Access

      Chapter

      Pages 239-265

      Hand Parsing and Gesture Recognition with a Commodity Depth Camera

    4. No Access

      Chapter

      Pages 267-287

      Learning Fast Hand Pose Recognition

    5. No Access

      Chapter

      Pages 289-313

      Real-Time Hand Gesture Recognition Using RGB-D Sensor

  6. Back Matter

    Pages 315-316