Fast view-based pose estimation of industrial objects in point clouds using a particle filter with an ICP-based motion model.
Bjarne GroßmannVolker KrügerPublished in: INDIN (2017)
Keyphrases
- point cloud
- particle filter
- pose estimation
- motion model
- d objects
- multiple objects
- object tracking
- visual tracking
- data association
- structure from motion
- particle filtering
- computer vision
- kalman filter
- human body
- motion analysis
- motion field
- state space
- multiple cameras
- point sets
- human pose
- mean shift
- body parts
- multi view
- object appearance
- motion segmentation
- appearance model
- proposal distribution
- motion estimation
- feature points
- image sequences
- object recognition
- optical flow
- multibody
- viewpoint
- robust tracking
- depth images
- visual hull
- image motion
- articulated objects
- importance sampling
- stereo camera
- motion parameters
- moving objects
- rigid objects
- bounding box
- dynamic programming