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Physically guided liquid surface modeling from videos

Published: 27 July 2009 Publication History

Abstract

We present an image-based reconstruction framework to model real water scenes captured by stereoscopic video. In contrast to many image-based modeling techniques that rely on user interaction to obtain high-quality 3D models, we instead apply automatically calculated physically-based constraints to refine the initial model. The combination of image-based reconstruction with physically-based simulation allows us to model complex and dynamic objects such as fluid. Using a depth map sequence as initial conditions, we use a physically based approach that automatically fills in missing regions, removes outliers, and refines the geometric shape so that the final 3D model is consistent to both the input video data and the laws of physics. Physically-guided modeling also makes interpolation or extrapolation in the space-time domain possible, and even allows the fusion of depth maps that were taken at different times or viewpoints. We demonstrated the effectiveness of our framework with a number of real scenes, all captured using only a single pair of cameras.

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cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 28, Issue 3
August 2009
750 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1531326
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 27 July 2009
Published in TOG Volume 28, Issue 3

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Author Tags

  1. image-based reconstruction
  2. physically-based fluid simulation
  3. space-time model completion

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  • (2024)Real-Time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01908(20186-20195)Online publication date: 16-Jun-2024
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