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Automated 3-D Animation From Snooker Videos With Information-Theoretical Optimization
IEEE Transactions on Computational Intelligence and AI in Games, Volume: 5, Issue: 4, Pages: 337 - 345
Swansea University Author: Iwan Griffiths
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DOI (Published version): 10.1109/TCIAIG.2013.2275164
Abstract
Automated 3-D modeling from real sports videos can provide valuable resources for visual design in sports-related computer games, saving a lot of effort in manual design of visual features. However, image-based 3-D reconstruction often suffers from inaccuracies caused by statistic image analysis. In...
| Published in: | IEEE Transactions on Computational Intelligence and AI in Games |
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| Published: |
2013
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa27696 |
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| Abstract: |
Automated 3-D modeling from real sports videos can provide valuable resources for visual design in sports-related computer games, saving a lot of effort in manual design of visual features. However, image-based 3-D reconstruction often suffers from inaccuracies caused by statistic image analysis. In this paper, we propose an information-theoretical scheme to minimize errors of automated 3-D modeling from monocular sports videos. In the proposed scheme, mutual information (MI) was exploited to compute the fitting scores of a 3-D model against the observed single-view scene, and the optimization of model fitting was carried out subsequently. With this optimization scheme, errors in model fitting were minimized without human intervention, allowing automated reconstruction of 3-D animation from consecutive monocular video frames at high accuracy. In our work, the Snooker videos were taken as our case study, balls were positioned in 3-D space from single-view frames, and 3-D animation was reproduced from real Snooker videos. Our experimental results validated that the proposed information-theoretical scheme can assist in attaining better accuracy in the automated reconstruction of 3-D animation, and demonstrated that information-theoretical evaluation can be an effective approach for model-based reconstruction from single-view videos |
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| Keywords: |
video modelling animation three-dimensional |
| College: |
Faculty of Science and Engineering |
| Issue: |
4 |
| Start Page: |
337 |
| End Page: |
345 |