Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty.
Pedro F. ProençaYang GaoPublished in: CoRR (2017)
Keyphrases
- uncertain data
- parallel planes
- vanishing points
- depth information
- probability theory
- depth images
- straight line
- conditional probabilities
- projective space
- probability measures
- depth data
- bayesian networks
- microsoft kinect
- feature points
- hough transform
- handling uncertainty
- line segments
- depth cameras
- straight line segments
- probabilistic model
- parallel lines
- decision theory
- point sets
- depth map
- planar surfaces
- probabilistic knowledge
- generative model
- data points
- optical flow
- three dimensional
- image planes
- planar patches
- belief functions