Tumbling target reconstruction and pose estimation through fusion of monocular vision and sparse-pattern range data.
Jose PadialMarcus HammondSean AugensteinStephen M. RockPublished in: MFI (2012)
Keyphrases
- pose estimation
- range data
- monocular vision
- d objects
- three dimensional
- surface reconstruction
- range images
- indoor environments
- object surface
- visual hull
- depth data
- image data
- human body
- object recognition
- multi view
- structured light
- viewpoint
- complex shapes
- surface model
- depth images
- curved surfaces
- computer vision
- reconstruction method
- position and orientation
- sparse representation
- feature points
- cad model
- high resolution
- object models
- intensity images
- target tracking
- video sequences
- single image