Keypoint Matching Technique and Its Applications
Keypoint Matching Technique and Its Applications
Keypoint Matching Technique and Its Applications
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Parameter Settings<br />
• CCH settings<br />
– levels to describe salient points (r) = 4<br />
– length of region (L × L) for salient points(L) = 7 pixels<br />
– input image size: original webpage resolution (mostly 800 × 600)<br />
– k-means parameter (k) = 4<br />
– naïve Bayesian classifier<br />
• EMD settings<br />
– we follow the suggestion in Fu et al.'s previous work<br />
– input image size: 100 × 100 (Lanczos3 resampling algorithm)<br />
– color degrading factor (CDF): 32<br />
– amplifier for the EMD value (α): 0.5<br />
– the # of colors used for the signature (|S s |): 20<br />
– the weight for the color distance (p): 0.5<br />
– the weight for the color centroid distance (q): 0.5<br />
– naïve Bayesian classifier is used instead of per-page threshold<br />
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