Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
Benjamin HouNina MiolaneBishesh KhanalMatthew C. H. LeeAmir AlansarySteven G. McDonaghJoseph V. HajnalDaniel RueckertBen GlockerBernhard KainzPublished in: CoRR (2018)
Keyphrases
- pose estimation
- human body
- computer vision
- d objects
- degrees of freedom
- body parts
- position and orientation
- pose parameters
- feature points
- monocular images
- human pose estimation
- human pose
- depth images
- three dimensional
- head pose estimation
- object recognition
- invariant recognition
- hand pose
- camera pose estimation
- object recognition and pose estimation
- object pose
- geodesic distance
- euclidean space
- shape analysis
- articulated model
- image registration