| Key
Idea #1 |
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| 1.
Use the 3D model to predict the location of |
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limb boundaries (not necessarily features) in |
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the scene. |
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| 2.
Compute various filter responses steered to the |
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predicted orientation of the limb. |
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| 3.
Compute likelihood of filter responses using a |
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statistical model learned from examples. |
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