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In neural networks, it is often desirable to work with various representations of the same space.
Systeme symmetrischer bilinearformen und euklidische modelle der projektiven räume
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The construction and approximation of neural networks operators with gaussian activation function
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Uniform sampling of rotations for discrete and continuous learning of 2d shape models
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Motion interpolation in sim (3)
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Shapenet: An information-rich 3d model repository
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Posenet: A convolutional network for real-time 6-dof camera relocalization
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B. Ummenhofer, H. Zhou, J. Uhrig, N. Mayer, E. Ilg, A. Dosovitskiy, and T. Brox · 2017
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Maths: Conversion matrix to quaternion
M. J. Baker · 2018
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Explorations in homeomorphic variational auto-encoding
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On solving the inverse kinematics problem using neural networks
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Geometric loss functions for camera pose regression with deep learning
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https://en.wikipedia.org/wiki/Cayley_transform#Matrix_map
Cayley transform
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https://en.wikipedia.org/wiki/Rotation_matrix#Quaternion
Rotation matrix
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Quatnet: Quaternion-based head pose estimation with multi-regression loss
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Rodrigues’ rotation formula
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