PCL Visualization

introduction
  1. You can use QVTKWidget in a Qt application to embed a PCL visualizer.
    Pros
  2. Specifically designed for handling point clouds.
  3. Easy integration with PCL (Point Cloud Library) functions.
  4. Provides built-in functionalities like color handling, point picking, etc.
Cons
  1. Limited customization options compared to other methods.
  2. Might not be as efficient for very large point clouds.

Pangolin

introduction
  1. Pangolin can be integrated into a Qt application using an OpenGL widget.
    Pros
  2. High-performance OpenGL-based visualization library.
  3. Good for 3D visualization and interaction.
  4. Supports various types of visualizations beyond point clouds.
    Cons
  5. Requires more manual handling of the visualization pipeline.
  6. Less documentation and community support compared to PCL.

OpenGL

introduction
  1. You can use QOpenGLWidget to create custom OpenGL visualizations within a Qt application.
    Pros
  2. Most flexible and powerful option.
  3. Can achieve highly customized and optimized visualizations.
  4. Direct control over rendering, which can be beneficial for complex visualizations.
    Cons
  5. Requires more effort to set up and manage.
  6. Higher learning curve compared to PCL and Pangolin.

VTK (Visualization Toolkit)

introduction
  1. VTK provides extensive examples and documentation for integrating with Qt.
    Pros
  2. Powerful and versatile for various types of data visualization, including point clouds.
  3. Good integration with Qt through QVTKOpenGLNativeWidget.
  4. Extensive functionality for advanced visualization techniques.
    Cons
  5. More complex API.
  6. Can be overkill for simple point cloud visualizations.

Vulkan

introduction
Pros
  1. Performance: Vulkan provides very fine-grained control over GPU resources, which can lead to significant performance improvements, especially for complex or large datasets.
  2. Flexibility: It allows you to implement custom shaders, memory management, and other low-level optimizations that can be tailored to your specific visualization needs.
  3. Modern API: Vulkan is a modern API designed for efficiency and multi-threading, making it future-proof and well-suited for modern hardware.
    Cons
  4. Complexity: Vulkan has a steep learning curve compared to other options. It requires a deep understanding of graphics programming and the GPU pipeline.
  5. Development Time: Implementing a Vulkan-based renderer can be more time-consuming due to its complexity and the amount of boilerplate code required.