O(N) implicit subspace embedding for unsupervised multi-scale image segmentation.
Hongbo ZhouQiang ChengPublished in: CVPR (2011)
Keyphrases
- multiscale
- image segmentation
- discriminative subspace
- semi supervised
- unsupervised learning
- locality preserving projections
- unsupervised clustering
- supervised learning
- natural images
- texture image segmentation
- edge detection
- scale space
- image processing
- normalized cut
- subspace learning
- low dimensional
- principal component analysis
- image representation
- boundary detection
- cluster validation
- graph cuts
- dimensionality reduction
- coarse to fine
- high dimensional
- gray level
- level set method
- vector space
- supervised classification
- computer vision
- multiple scales
- subspace clustering
- level set
- region growing
- active contours
- segmentation algorithm
- markov random field
- wavelet transform
- segmentation method
- optic flow
- segmented images
- lower dimensional
- high dimensional data
- fuzzy c means
- watermarking algorithm
- method for image segmentation
- local binary pattern
- feature extraction
- unsupervised segmentation
- image segmentation algorithm
- graph embedding
- face recognition
- clustering algorithm