Efficient modeling of visual saliency based on local sparse representation and the use of hamming distance.
Ioannis RigasGeorge EconomouSpiros FotopoulosPublished in: Comput. Vis. Image Underst. (2015)
Keyphrases
- sparse representation
- hamming distance
- dictionary learning
- image classification
- face recognition
- compressive sensing
- sparse coding
- signal processing
- compressed sensing
- image representation
- random projections
- visual features
- high dimensional data
- image patches
- linear combination
- feature vectors
- pattern matching
- visual information
- dynamic programming
- neural network