Intelligent filtering by semantic importance for single-view 3D reconstruction from Snooker video

@article{Legg2011IntelligentFB,
  title={Intelligent filtering by semantic importance for single-view 3D reconstruction from Snooker video},
  author={Philip A. Legg and Matthew L. Parry and David H. S. Chung and Richard M. Jiang and Adrian Morris and Iwan W. Griffiths and A. David Marshall and Min Chen},
  journal={2011 18th IEEE International Conference on Image Processing},
  year={2011},
  pages={2385-2388}
}
In this paper we investigate the challenge of 3D reconstruction from Snooker video data. We propose a system pipeline for intelligent filtering based on semantic importance in Snooker. The system can be divided into table detection and correction, followed by ball detection, classification and tracking. It is apparent from previous work that there are several challenges presented here. Firstly, previous methods tend to use a fixed top-down camera mounted above the table. To capture a full table… CONTINUE READING

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