Learning on manifolds

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Author/s

Fatih Porikli (Mitsubishi Electric Research Laboratories)

About the resource/s

The conference paper provides a brief introduction into manifolds from a computer vision perspective. Important manifolds for this research field, like symmetric positive definite matrices and affine transformation matrices, are presented. Furthermore, deep learning methods for important applications like motion estimation, affine motion tracking and pose invariant object detection are outlined.

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