Kanade-Lucas-Tomasi (KLT) Feature Tracker
Kanade-Lucas-Tomasi (KLT) Feature Tracker
Kanade-Lucas-Tomasi (KLT) Feature Tracker
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Why pyramid representation?<br />
• Standard <strong>KLT</strong> algorithm can deal with small pixel displacement.<br />
• Solution for this is a pyramidal implementation.<br />
• Let I 0 =I be the 0 th level image<br />
• The pyramid representation is built recursively.<br />
I 0 → I 1 → I 2 → I 3 → I Lm …(Lm: 2~4)<br />
• I L-1 : the image at level L-1<br />
I L : the image at level L<br />
Computer Vision (EEE6503) Fall 2009, Yonsei Univ.