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A Survey of Viewpoint Selection Methods for Polygonal Models.

Xavier Bonaventura1, Miquel Feixas1, Mateu Sbert1,2

  • 1Graphics & Imaging Laboratory, University of Girona, Girona 17003, Spain.

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Summary
This summary is machine-generated.

This survey reviews 22 viewpoint selection measures for 3D models, finding information-related methods to be most effective. A framework is provided for comparing these computational graphics techniques.

Keywords:
entropymutual informationviewpoint selectionvisualization

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Area of Science:

  • Computer Graphics
  • Computational Geometry
  • Human-Computer Interaction

Background:

  • Viewpoint selection is crucial for applications like 3D model navigation and scientific visualization.
  • Existing surveys lack a comprehensive comparison of diverse viewpoint selection measures.
  • Maturity in computer graphics has led to increased demand for effective viewpoint selection methods.

Purpose of the Study:

  • To comprehensively review and compare 22 distinct measures for selecting optimal viewpoints of 3D polygonal models.
  • To classify these measures using an extended categorization scheme.
  • To evaluate measure performance against a recognized benchmark and identify top-performing methods.

Main Methods:

  • A systematic literature review of 22 viewpoint selection measures.
  • Classification of measures based on an extended framework.
  • Empirical evaluation using the Dutagaci et al. benchmark dataset.
  • Implementation of measures in a publicly available framework for comparative analysis.

Main Results:

  • Eleven measures are introduced that have not been covered in prior surveys.
  • Three of the top five ranked viewpoint selection measures are directly linked to information-theoretic principles.
  • The study categorizes measures and details their application across various fields.

Conclusions:

  • Information-based viewpoint selection measures demonstrate significant effectiveness.
  • The developed framework facilitates objective comparison and selection of optimal viewpoint measures.
  • This work advances the field by providing a unified resource for viewpoint selection research and application.