SANet: A novel segmented attention mechanism and multi-level information fusion network for 6D object pose estimation.
Xinbo GengFan ShiXu ChengChen JiaMianzhao WangShengyong ChenHongning DaiPublished in: Comput. Commun. (2023)
Keyphrases
- pose estimation
- information fusion
- d objects
- data fusion
- attention mechanism
- object recognition
- viewpoint
- human body
- range data
- computer vision
- invariant recognition
- shape descriptors
- multi view
- three dimensional
- multiple views
- position and orientation
- soft computing
- pose parameters
- depth images
- human pose
- object classes
- real time
- recognition and pose estimation