A Probabilistic Framework for 3D Visual Object Representation
نویسندگان
چکیده
منابع مشابه
Probabilistic Visual Learning for Object Representation
We present an unsupervised technique for visual learning, which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of-Gaussians model (for multimodal distributions). These probability densities are then used to fo...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2009
ISSN: 0162-8828
DOI: 10.1109/tpami.2009.64