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Sojka Corner Detection Algorithm

Sojka Corner Detection Algorithm

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TUDelft<br />

RVM <strong>Corner</strong> Classification Model<br />

Sample datasets comparison<br />

1. Manually selected dataset is not convenient for users<br />

2. Adaptive dataset makes classification slow<br />

3. Synthetic dataset is suitable for current use<br />

Feature extraction speed<br />

Target Size<br />

Speed (s/sec)<br />

10x10<br />

718<br />

20x20<br />

40x40<br />

199<br />

49<br />

So we used synthetic dataset in final system.<br />

Screen Estimation for A Novel Pointing Device Based on <strong>Corner</strong> <strong>Detection</strong> and Classification. Qing Xia, Wei Huang 77

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