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Depth Perception and Spatial Vision

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Related Experiment Video

Updated: May 29, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
06:26

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry

Published on: December 9, 2025

Volumetric descriptions of objects from multiple views.

W N Martin1, J K Aggarwal

  • 1MEMBER, IEEE, Laboratory for Image and Signal Analysis, University of Texas, Austin, TX 78712; Department of Applied Mathematics and Computer Sciences, University of Virginia, Char.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel "volume segment" representation for creating and refining bounding volumes from object contours. This method aids in approximating object shapes from image sequences using viewpoint data.

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Area of Science:

  • Computer Vision
  • Geometric Modeling
  • 3D Reconstruction

Background:

  • Object approximation from image sequences is crucial for various applications.
  • Existing volumetric representations may lack efficiency in modification or surface detail.

Purpose of the Study:

  • To present a novel "volume segment" representation for object approximation.
  • To enable efficient creation and refinement of bounding volumes from image contours.

Main Methods:

  • Utilizing occluding contours from image sequences with specified viewpoints.
  • Developing a volumetric representation that balances modifiability and surface detail description.

Main Results:

  • The proposed "volume segment" representation facilitates the approximation of bounding volumes.
  • This representation supports both initial creation and continuous refinement of object approximations.

Conclusions:

  • The "volume segment" representation is an effective approach for approximating objects from contours.
  • This method offers a suitable volumetric representation for detailed and modifiable object modeling.