Ban et al., 2016 - Google Patents
Gender Classification of Low‐Resolution Facial Image Based on Pixel Classifier BoostingBan et al., 2016
View PDF- Document ID
- 8603180869306404505
- Author
- Ban K
- Kim J
- Yoon H
- Publication year
- Publication venue
- ETRI Journal
External Links
Snippet
In face examinations, gender classification (GC) is one of several fundamental tasks. Recent literature on GC primarily utilizes datasets containing high‐resolution images of faces captured in uncontrolled real‐world settings. In contrast, there have been few efforts that …
- 230000001815 facial 0 title abstract description 21
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00275—Holistic features and representations, i.e. based on the facial image taken as a whole
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00228—Detection; Localisation; Normalisation
- G06K9/00248—Detection; Localisation; Normalisation using facial parts and geometric relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00228—Detection; Localisation; Normalisation
- G06K9/00234—Detection; Localisation; Normalisation using pixel segmentation or colour matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00288—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
- G06K9/00604—Acquisition
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hassan et al. | Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations | |
Rusia et al. | A comprehensive survey on techniques to handle face identity threats: challenges and opportunities | |
Carcagnì et al. | Facial expression recognition and histograms of oriented gradients: a comprehensive study | |
Min et al. | Efficient detection of occlusion prior to robust face recognition | |
Zhao et al. | Facial Expression Recognition from Video Sequences Based on Spatial‐Temporal Motion Local Binary Pattern and Gabor Multiorientation Fusion Histogram | |
Huo et al. | Heterogeneous face recognition by margin-based cross-modality metric learning | |
Mlakar et al. | Automated facial expression recognition based on histograms of oriented gradient feature vector differences | |
Mahmood et al. | Recognition of Facial Expressions under Varying Conditions Using Dual‐Feature Fusion | |
Hassaballah et al. | Facial features detection and localization | |
Arashloo | Unseen face presentation attack detection using sparse multiple kernel Fisher null-space | |
Sharma et al. | A survey on face presentation attack detection mechanisms: hitherto and future perspectives | |
Wanyonyi et al. | Open-source face recognition frameworks: A review of the landscape | |
Ho et al. | Face Detection Using Eigenfaces: A Comprehensive Review | |
Ban et al. | Gender Classification of Low‐Resolution Facial Image Based on Pixel Classifier Boosting | |
Lu et al. | Personal object discovery in first-person videos | |
Gowda | Fiducial points detection of a face using RBF-SVM and adaboost classification | |
Cevik et al. | A high-discriminative facial recognition method based on shape and grey-level appearances using landmark-points | |
Raghavendra et al. | Extended Local Ternary Pattern for Face Anti-spoofing | |
Kapse et al. | Eye-referenced dynamic bounding box for face recognition using light convolutional neural network | |
Ramalingam et al. | Fundamentals and advances in 3D face recognition | |
Khan et al. | Caricature face photo facial attribute similarity generator | |
Kalimuthu et al. | Semantic‐Based Facial Image‐Retrieval System with Aid of Adaptive Particle Swarm Optimization and Squared Euclidian Distance | |
Singh et al. | A Systematic Review Of Face Detection And Face Recognition Techniques Using Machine Learning | |
Darshan et al. | A survey on disguise face recognition | |
Sami et al. | Benchmarking human face similarity using identical twins |