Campuses:

Differentiable manifolds

Friday, April 8, 2011 - 1:25pm - 2:25pm
A large number of natural phenomena can be formulated as inference on differentiable manifolds. More specifically in computer vision, such underlying notions emerge in multi-factor analysis including feature selection, pose estimation, structure from motion, appearance tracking, and shape embedding. Unlike Euclidean spaces, differentiable manifolds does not exhibit global homeomorphism, thus, differential geometry is applicable only within the local tangent spaces.
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