Face recognition using Laplacianfaces
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- Type
- article
- Published
- 2005-03-01
- Cited by
- 3,374
- References
- 40
- OpenAlex
- https://openalex.org/W2117553576
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3147903
Keywords
Eigenface, Pattern recognition (psychology), Artificial intelligence, Facial recognition system, Principal component analysis
References
- Manifold pursuit: a new approach to appearance based recognition
- Manifold of facial expression
- Isometric Embedding and Continuum ISOMAP
- Face recognition by elastic bunch graph matching
- A global geometric framework for nonlinear dimensionality reduction.
- Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods
- Nonlinear dimensionality reduction by locally linear embedding.
- Linear subspaces for illumination robust face recognition
- Support Vector Machines Applied to Face Recognition
- Charting a Manifold
- Global Coordination of Local Linear Models
- Visual learning and recognition of 3-d objects from appearance
- Dual-space linear discriminant analysis for face recognition
- Probabilistic Visual Learning for Object Representation
- Face recognition using Kernel-based Fisher Discriminant Analysis
- Low-dimensional procedure for the characterization of human faces.
- PCA versus LDA
- Video-based face recognition using probabilistic appearance manifolds
- Learning spatially localized, parts-based representation
- Normalized cuts and image segmentation
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.
- Fast communication: Dominant singular value decomposition representation for face recognition
- Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition
- Towards a robust face recognition system using compressive sensing
- Agglomerative Mean-Shift Clustering via Query Set Compression
- Nonnegative Spectral Clustering with Discriminative Regularization
- Subspace Learning from Image Gradient Orientations
- General Subspace Learning With Corrupted Training Data Via Graph Embedding
- A Genetic Algorithm for Creating a Set of Color Spaces for Ear Authentication
- A-Optimal Projection for Image Representation
- Subspace methods for face recognition
- Optimal locality preserving projection for face recognition
- Multifactor analysis for face recognition based on factor-dependent geometry
- Face Recognition and Gender Classification using Principal Component Analysis
- Two-dimensional margin, similarity and variation embedding
- Locality-Constrained Concept Factorization
- Discriminative learning with application to interactive facial image retrieval
- Feature Selection in Face Recognition: A Sparse Representation Perspective
- Collaborative algorithm for reducing false acceptance error rate of face recognition based admission control system
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