Titlebook: Computer Vision - ECCV 2000; 6th European Confere David Vernon Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 3-D visio

馬籠頭

handle

Computer Vision - ECCV 2000978-3-540-45054-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/3-540-45054-83-D vision; Stereo; computer vision; image processing; object recognition; pattern recognition; robot; robo

魯莽

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充足

https://doi.org/10.1057/9780230511163s on a particular type of model where objects are represented as flexible constellations of rigid parts (features). The variability within a class is represented by a joint probability density function (pdf) on the shape of the constellation and the output of part detectors. In a first stage, the me

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Parallel

Meet the Fair Trade Coffee Producersresented by colour-based features computed from image neighbourhoods with multi-modal colour density function. Stable invariants are derived from modes of the density function that are robustly located by the mean shift algorithm. The problem of extracting local invariant colour features is addresse

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Meet the Fair Trade Coffee Producersare increasingly tighter supersets of an unknown, arbitrarily-shaped 3D scene. By studying 3D shapes that reproduce the input photographs up to a special image transformation called a ., we prove that (1) these shapes can be organized hierarchically into nested supersets of the scene, and (2) they c

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