A particle filter approach to dynamic kidney pose estimation in robotic surgical exposure.
Michael A. KokkoDouglas W. Van CittersJohn D. SeigneRyan J. HalterPublished in: Int. J. Comput. Assist. Radiol. Surg. (2022)
Keyphrases
- pose estimation
- particle filter
- object tracking
- d objects
- particle filtering
- visual tracking
- computer vision
- kalman filter
- degrees of freedom
- state estimation
- human body
- robust tracking
- body parts
- position and orientation
- state space
- human pose
- monte carlo
- importance sampling
- feature points
- appearance model
- mean shift
- motion model
- depth images
- dynamic environments
- multiple objects
- data association
- simultaneous localization and mapping
- hand tracking
- feature extraction
- reinforcement learning
- learning algorithm