Face recognition by independent component analysis
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Summary
Independent component analysis (ICA), a generalization of PCA, was used, using a version of ICA derived from the principle of optimal information transfer through sigmoidal neurons, which was superior to representations based on PCA for recognizing faces across days and changes in expression.
- Type
- article
- Published
- 2002-11-01
- Cited by
- 2,243
- References
- 63
- Access
- Open access
- OpenAlex
- https://openalex.org/W2146474141
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3240791
Keywords
Independent component analysis, Pattern recognition (psychology), Artificial intelligence, Principal component analysis, Pixel
References
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- Kernel independent component analysis
- A Context-Sensitive Generalization of ICA
- Face image analysis by unsupervised learning and redundancy reduction
- Learning the parts of objects by non-negative matrix factorization
- Blind source separation of nonlinear mixing models
- Structural aspects of face recognition and the other-race effect
- The FERET database and evaluation procedure for face-recognition algorithms
- A Demonstration of the Visual Importance and Flexibility of Spatial-Frequency Amplitude and Phase
- Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods
- Robust learning algorithm for blind separation of signals
- Information-theoretic approach to blind separation of sources in non-linear mixture
- Independent component representations for face recognition
Cited by
- Robust face recognition based on three dimensional data
- A comparative analysis of neural and statistical classifiers for dimensionality reduction-based face recognition systems.
- Face Recognition under Variation of Pose and Illumination using Independent Component Analysis
- Face Recognition Using Modified Two-Dimensional PCA
- Application-Driven Dimension Reduction
- Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition
- Face Recognition using Curvelet and ICA
- People detection, tracking and re-identification through a video camera network. (Détection, suivi et ré-identification de personnes à travers un réseau de caméra vidéo)
- Discriminant learning for face recognition
- Video-Based Person Identification Using Facial Strain Maps as a Biometric
- Subspace methods for face recognition
- Parallel gabor PCA with fusion of SVM scores for face verification
- A Different Approach to Appearance -based Statistical Method for Face Recognition Using Median
- Human Face Detection with Support Vector Machines
- Organising a photograph collection based on human appearance
- Principal component analysis of gender, ethnicity, age and identity of face images
- Feature Reconstruction for Face Recognition Based on Sample Image Learning
- Curvelet Transform-Based Techniques For Biometric Person Identification
- Gabor Filter Based Efficient Thermal and Visual Face Recognition Using Fusion Architectures
- An improved method for face recognition based on SVM in frequency domain
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