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Related Experiment Video

Updated: Dec 29, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Multi-view Performance Capture of Surface Details.

Nadia Robertini^1,2, Dan Casas¹, Edilson De Aguiar³

¹1Max Planck Institute for Informatics, Saarbrücken, Germany.

International Journal of Computer Vision

|February 7, 2020

Summary

This summary is machine-generated.

This study introduces a new method for detailed 4D surface reconstruction from multi-view video. It recovers fine geometric details often missed by traditional performance capture techniques.

Keywords:

Performance capture Sums of Gaussian Surface detail

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Area of Science:

Computer Vision
Computer Graphics
Geometric Modeling

Background:

Traditional 4D surface reconstruction methods often lack fine geometric detail.
Existing techniques for high-frequency detail recovery can be complex and error-prone.

Purpose of the Study:

To develop a novel approach for recovering true fine surface detail in deforming meshes.
To improve the accuracy and completeness of 4D surface reconstructions from multi-view video.

Main Methods:

Formulating dense dynamic surface reconstruction as a global optimization problem.
Using an implicit representation of deformable meshes with Gaussian functions.
Optimizing a model-to-image consistency energy for fine-scale deformation recovery.

Main Results:

Successfully reproduced finer geometric detail compared to baseline methods.
Achieved implicit occlusion handling and analytic derivatives.
Demonstrated effectiveness on datasets of human subjects with loose clothing.

Conclusions:

The proposed method offers a robust alternative for detailed 4D surface reconstruction.
This approach enhances the fidelity of dynamic surface capture from visual data.
The technique avoids issues with correspondence finding and discrete displacement sampling.