Robust and Efficient 3D Recognition by Alignment
Alignment is a prevalent approach for recognizing 3D objects in 2D images. A major problem with current implementations is how to robustly handle errors that propagate from uncertainties in the locations of image features. This thesis gives a technique for bounding these errors. The technique...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6799 |