A Noise-Resilient Sparse Subspace Clustering Algorithm for Image Sequences.
Liping ChenGongde GuoHui WangPublished in: iThings/GreenCom/CPSCom/SmartData (2017)
Keyphrases
- image sequences
- clustering algorithm
- subspace clustering
- high dimensional
- spatially invariant
- arbitrary shape
- signal subspace
- regularized regression
- noisy data
- low dimensional
- video sequences
- input data
- random noise
- sparse data
- sparse representation
- spatio temporal
- k means
- noise level
- principal component analysis
- low rank representation
- moving objects
- subspace clusters
- motion analysis
- optical flow
- feature points
- cluster analysis
- high dimensional data
- noise reduction
- motion estimation
- dimensionality reduction
- feature space
- affine camera
- basis vectors
- clustering method
- compressed sensing
- subspace learning
- data clustering
- motion parameters
- signal to noise ratio
- noise model
- gaussian noise
- linear combination
- estimation error
- motion segmentation