Lecture 15 - Stanford Vision Lab
Lecture 15 - Stanford Vision Lab
Lecture 15 - Stanford Vision Lab
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• Speed of learning<br />
Issues<br />
– Slow (many combinations of detectors)<br />
• Appearance learnt first, then shape<br />
– Difficult to learn part that has stable location but<br />
variable appearance<br />
– Each detector is used as a cross-correlation filter,<br />
giving a hard definition of the part’s appearance<br />
• Would like a fully probabilistic representation of<br />
the object<br />
Fei-Fei Li<br />
<strong>Lecture</strong> <strong>15</strong> -<br />
86<br />
14‐Nov‐11