Multi-View Subspace Clustering based on Tensor Schatten-p Norm.
Yongli LiuXiaoqin ZhangGuiying TangDi WangPublished in: IEEE BigData (2019)
Keyphrases
- multi view
- dimensionality reduction
- multiple views
- single view
- depth map
- linear subspace
- low dimensional
- d objects
- camera calibration
- feature space
- multiple cameras
- high order
- bundle adjustment
- high dimensional
- three dimensional
- principal component analysis
- range images
- high dimensional data
- semi supervised
- subspace learning
- view synthesis
- multi view images
- camera parameters
- multi view reconstruction
- viewpoint
- multi view clustering
- multiple viewpoints
- multi view stereo
- trifocal tensor
- feature selection
- visual hull
- face recognition
- data points
- high dimensionality
- input data