SBOU157 September   2015 OPT8241

 

  1.   Voxel Viewer
    1.     Trademarks
    2. 1 Introduction
      1. 1.1 TI 3D Depth Sensors
      2. 1.2 Operating Principles
      3. 1.3 Voxel Viewer and Voxel SDK
    3. 2 User Interface
      1. 2.1 Menu Bar
        1. 2.1.1 File
        2. 2.1.2 Settings
          1. 2.1.2.1 Camera Profiles
          2. 2.1.2.2 Edit Profiles
          3. 2.1.2.3 Statistics
        3. 2.1.3 Windows
        4. 2.1.4 Help
      2. 2.2 Source Bar
      3. 2.3 Main Viewport
      4. 2.4 Left Pane
        1. 2.4.1 Side Viewports
      5. 2.5 Right Pane
        1. 2.5.1 Frequently Used Parameters Window
        2. 2.5.2 Parameter List Window
      6. 2.6 Bottom Pane
        1. 2.6.1 Watch List and Statistics Window
        2. 2.6.2 Data Flow Diagram Window
        3. 2.6.3 Logs Window
    4. 3 Basic Operations
      1. 3.1 Connecting Devices
      2. 3.2 Adjusting the Settings
      3. 3.3 Visualizing the Data
        1. 3.3.1 Ambient
        2. 3.3.2 Amplitude
        3. 3.3.3 Depth
        4. 3.3.4 Distance
        5. 3.3.5 Phase
        6. 3.3.6 Point Clouds
        7. 3.3.7 Histogram
      4. 3.4 De-Noising
        1. 3.4.1 Temporal Filters
          1. 3.4.1.1 IIR Filter
          2. 3.4.1.2 Median Filter
        2. 3.4.2 Spatial Filters
          1. 3.4.2.1 Smooth Filter
          2. 3.4.2.2 Bilateral Filter
          3. 3.4.2.3 Median Filters
        3. 3.4.3 Recommended Starting Point
    5. 4 Calibration
      1. 4.1 Lens Calibration
      2. 4.2 Frequency Calibration
      3. 4.3 Crosstalk Calibration
      4. 4.4 Nonlinearity Calibration
      5. 4.5 Temperature Calibration
      6. 4.6 Common Phase Calibration
      7. 4.7 Pixel-Wise Calibration
      8. 4.8 Profiles and Calibration
    6. 5 TFC Programming
    7. 6 Summary
    8. 7 References

3.3.6 Point Clouds

The point clouds data are derived from the depth map, where each pixel (u, v, d), in the depth map is transformed a Cartesian coordinate (x, y, z). The resulting points can be rendered in a 3D virtual space for visualization. The point clouds are usually used in 3D visualization and scanning and in auto-dimensioning applications where precise measurement of each dimensions is important.