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Interactive object modelling based on piecewise planar surface patches.

Johann Prankl1, Michael Zillich1, Markus Vincze1

  • 1Automation and Control Institute, Vienna University of Technology, Austria.

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Summary
This summary is machine-generated.

This study introduces a new method for detecting multiple 3D planes in complex scenes, improving object reconstruction for robotics and augmented reality applications.

Keywords:
Multiple structure from motionObject modellingPlane detectionReconstruction

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Area of Science:

  • Computer Vision
  • Robotics
  • 3D Reconstruction

Background:

  • Estimating planes in 3D is crucial for object description in robotics and augmented reality.
  • Existing methods struggle with table-top scenes containing numerous planes, often focusing on dominant planes or lacking full 3D structure estimation.

Purpose of the Study:

  • To incrementally detect multiple planar patches in 3D scenes using image sequences.
  • To improve 3D object structure estimation in complex environments.

Main Methods:

  • Introduced Minimum Description Length (MDL) for incremental multi-plane detection.
  • Utilized tracked interest points in image sequences.
  • Reconstructed planar patches and stored them in a keyframe-based graph structure.
  • Modeled separate object hypotheses for different motions using visible and past patches.

Main Results:

  • The approach successfully detects multiple planar patches in complex scenes.
  • It improves over state-of-the-art algorithms in evaluating standard and custom datasets.
  • The method effectively handles scenes with numerous planes.

Conclusions:

  • The proposed MDL-based approach offers a significant improvement for multi-plane detection in 3D scenes.
  • This method enhances 3D object structure estimation, particularly in cluttered table-top environments.
  • It provides a robust solution for applications requiring accurate 3D scene understanding.