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Fast occlusion-based point cloud exploration.

Mohamed Radwan1, Stefan Ohrhallinger1, Michael Wimmer1

  • 1TU Wien, Vienna, Austria.

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This summary is machine-generated.

This study introduces a novel surface representation structure for efficient real-time interaction with large unstructured point clouds. The new method enables near-linear construction time, facilitating advanced 3D scene exploration.

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Area of Science:

  • Computer Graphics
  • Geometric Modeling
  • Data Structures

Background:

  • Large-scale point clouds require efficient visualization and interaction.
  • Existing data structures for point clouds have high construction times (O(NlogN)).
  • Real-time interaction with millions of points is computationally challenging.

Purpose of the Study:

  • To develop a novel surface representation structure for unstructured point clouds.
  • To enable efficient real-time construction and querying of point cloud data structures.
  • To facilitate advanced user interactions within large 3D scenes.

Main Methods:

  • Proposed a surface representation structure exploiting the 2D property of sampled surfaces.
  • Utilized bounding depth intervals within a discrete 2D grid for surface representation.
  • Developed an occlusion graph derived from the surface structure.

Main Results:

  • Achieved near-linear construction time for the proposed structure in practice.
  • Enabled fast surface queries and efficient occlusion graph generation.
  • Demonstrated real-time 3D scene exploration with sophisticated user interactions.

Conclusions:

  • The proposed surface representation structure significantly improves real-time performance for point cloud data.
  • This approach facilitates novel interactive applications, such as revealing occluded objects.
  • The method offers a practical solution for handling large-scale unstructured point clouds in real time.