Multiscale binarised statistical image features for symmetric face matching using multiple descriptor fusion based on class-specific LDA
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Summary
An alternative learning-based binary image coding scheme is introduced which operates by projecting local image patches linearly onto a subspace using learnt filters, and independent binarisation of filter responses is justified theoretically using independent component analysis in the filter learning stage.
- Type
- article
- Published
- 2017-02-01
- Cited by
- 7
- References
- 77
- OpenAlex
- https://openalex.org/W303353666
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2163233
Keywords
Artificial intelligence, Pattern recognition (psychology), Discriminative model, Local binary patterns, Computer science
References
- Natural Image Statistics - A Probabilistic Approach to Early Computational Vision
- BSIF: Binarized statistical image features
- XM2VTSDB: The Extended M2VTS Database
- Handbook of Face Recognition, 2nd Edition
- Greedy function approximation: A gradient boosting machine.
- Face recognition by elastic bunch graph matching
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- Localizing Parts of Faces Using a Consensus of Exemplars
- Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU
- Learning Discriminant Face Descriptor
- Fisher Vector Faces in the Wild
- Towards Pose Robust Face Recognition
- Face recognition with learning-based descriptor
- Facial feature localization using graph matching with higher order statistical shape priors and global optimization
- Face Recognition using Local Quantized Patterns
- Local phase quantization for blur-insensitive image analysis
- Face Alignment by Explicit Shape Regression
- Multiple One-Shots for Utilizing Class Label Information
- Learning Deformable Shape Manifolds
- Face recognition using multi-scale local phase quantisation and Linear Regression Classifier
Cited by
- Symmetric-Invariant Boundary Image Matching Based on Time-Series Data
- A time-series matching approach for symmetric-invariant boundary image matching
- Client-Specific Anomaly Detection for Face Presentation Attack Detection
- Spoofing Attack Detection by Anomaly Detection
- Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression
- Steel Strip Surface Defect Identification using Multiresolution Binarized Image Features
- Client-specific anomaly detection for face presentation attack detection
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