Manifold Preserving Features and Regression for Semantic Labelling in High Dimensional Images.
Vishal SrivastavaShashank Sheshar SinghBhaskar BiswasPublished in: Wirel. Pers. Commun. (2022)
Keyphrases
- high dimensional
- image features
- image set
- original images
- feature space
- test images
- image database
- image data
- input image
- low dimensional
- salient features
- highly discriminative
- semantic categories
- image classification
- lower dimension
- high dimensionality
- image retrieval
- extracted features
- feature descriptors
- object recognition
- extracting features
- geometrical information
- feature points
- global structure
- spatial information
- gabor filters
- manifold learning
- geometric constraints
- feature extraction
- image collections
- low level
- keypoints
- image registration
- spatial relationships
- high level
- similarity measure
- feature vectors
- image details
- model selection
- semantic information
- image regions
- parameter space
- image representation
- low level visual features
- geometric structure
- visual data
- image matching