Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video
نویسندگان
چکیده
منابع مشابه
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video
Riemannian manifolds have been widely employed for video representations in visual classification tasks including videobased face recognition. The success mainly derives from learning a discriminant Riemannian metric which encodes the non-linear geometry of the underlying Riemannian manifolds. In this paper, we propose a novel metric learning framework to learn a distance metric across a Euclid...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2018
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2017.2776154