Probabilistic Rotation Representation With an Efficiently Computable Bingham Loss Function and Its Application to Pose Estimation.
Hiroya SatoTakuya IkedaKoichi NishiwakiPublished in: CoRR (2022)
Keyphrases
- pose estimation
- loss function
- rotation and translation
- invariant recognition
- efficiently computable
- object pose
- d objects
- computer vision
- human body
- pairwise
- rotation invariant
- support vector
- feature points
- human pose estimation
- upper bound
- probabilistic model
- viewpoint
- similarity measure
- pose estimates
- sufficient conditions
- generative model
- least squares
- feature extraction