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2010

Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition

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Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken under a variety of lighting conditions. The task was to analyze images from a hand-held mobile phone camera showing an endgame position for the Japanese board game Go. The presented system would already be sufficient to reconstruct the full Go game record from a video record of the game, and thus is complementary to (Seewald, 2003) which focuses on solving the same task using 1
Alexander K. Seewald
Added 20 Mar 2011
Updated 20 Mar 2011
Type Journal
Year 2010
Where AAI
Authors Alexander K. Seewald
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