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Related Experiment Videos

The visual hull of smooth curved objects.

Andrea Bottino1, Aldo Laurentini

  • 1Dipartimento di Automatica ed Informatica, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy. andrea.bottino@polito.it

IEEE Transactions on Pattern Analysis and Machine Intelligence
|December 3, 2004
PubMed
Summary

This study details the visual hull, a geometric shape derived from object silhouettes. It introduces a method for constructing the visual hull of smooth objects using aspect graph surfaces and visual events.

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Area of Science:

  • Computer Vision
  • Computational Geometry
  • Geometric Modeling

Background:

  • The visual hull represents an object's shape through its 2D silhouettes or shadows.
  • Understanding the visual hull is crucial for 3D reconstruction and shape analysis from images.
  • Existing methods may face challenges with generic smooth objects and efficient computation.

Purpose of the Study:

  • To develop a theoretical framework for the visual hull of generic smooth objects.
  • To establish a method for constructing the visual hull using aspect graph partitions.
  • To outline an algorithm for computing the visual hull.

Main Methods:

  • Utilizing surfaces derived from visual events like tangent crossings and triple points.
  • Partitioning the viewpoint space based on the object's aspect graph.

Related Experiment Videos

  • Analyzing object shape at tangency points to prune irrelevant surfaces.

    • Main Results:

    • Demonstrated that the visual hull can be constructed from specific surfaces within the viewpoint space.
    • Identified tangent crossing and triple point events as key for constructing these surfaces.
    • Developed a pruning strategy based on local object shape to simplify construction.

    Conclusions:

    • The visual hull of generic smooth objects can be effectively constructed using aspect graph partitions.
    • The proposed method leverages specific visual events and shape analysis for efficient computation.
    • An algorithm for computing the visual hull is outlined, paving the way for practical applications.