Efficient and Robust Inverse Lighting of a Single Face Image Using Compressive Sensing.
Miguel Heredia CondeDavoud ShahlaeiVolker BlanzOtmar LoffeldPublished in: ICCV Workshops (2015)
Keyphrases
- compressive sensing
- face images
- face recognition
- illumination variations
- sparse representation
- illumination normalization
- human faces
- robust face recognition
- low resolution
- facial expressions
- feature vectors
- lighting conditions
- principal component analysis
- random projections
- machine learning
- learning algorithm
- illumination conditions
- facial features
- input image
- object recognition
- feature extraction
- pattern recognition
- high resolution
- feature points
- signal processing
- nearest neighbor
- image features