Sznitman et al., 2010 - Google Patents
Active testing for face detection and localizationSznitman et al., 2010
View PDF- Document ID
- 11115423791114309291
- Author
- Sznitman R
- Jedynak B
- Publication year
- Publication venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
External Links
Snippet
We provide a novel search technique which uses a hierarchical model and a mutual information gain heuristic to efficiently prune the search space when localizing faces in images. We show exponential gains in computation over traditional sliding window …
- 238000001514 detection method 0 title description 22
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
- G06K9/62—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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sznitman et al. | Active testing for face detection and localization | |
| CN108491817B (en) | Event detection model training method and device and event detection method | |
| JP7345530B2 (en) | SuperLoss: Common Losses for Robust Curriculum Learning | |
| Unnikrishnan et al. | Toward objective evaluation of image segmentation algorithms | |
| US8599255B2 (en) | Video surveillance system based on Gaussian mixture modeling with two-type learning rate control scheme | |
| CA3066029A1 (en) | Image feature acquisition | |
| US9842279B2 (en) | Data processing method for learning discriminator, and data processing apparatus therefor | |
| CN108198172B (en) | Image significance detection method and device | |
| US9619729B2 (en) | Density measuring device, density measuring method, and computer program product | |
| CN109685830B (en) | Target tracking method, device and equipment and computer storage medium | |
| Chawathe | Rice disease detection by image analysis | |
| CN113850179B (en) | Image detection methods and related model training methods, devices, equipment, and media | |
| Mahani et al. | Bounding box based weakly supervised deep convolutional neural network for medical image segmentation using an uncertainty guided and spatially constrained loss | |
| Nan et al. | Fast margin-based cost-sensitive classification | |
| CN111444816A (en) | Multi-scale dense pedestrian detection method based on fast RCNN | |
| Chen et al. | A novel graphical model approach to segmenting cell images | |
| US20030156759A1 (en) | Background-foreground segmentation using probability models that can provide pixel dependency and incremental training | |
| JP2016071872A (en) | Method and device for tracking object and tracking feature selection method | |
| CN112446428B (en) | An image data processing method and device | |
| Yuan et al. | Instance-dependent early stopping | |
| CN116109907B (en) | Target detection method, target detection device, electronic equipment and storage medium | |
| CN111984812B (en) | Feature extraction model generation method, image retrieval method, device and equipment | |
| Bhattacharjee et al. | Active learning for imbalanced domains: the ALOD and ALOD-RE algorithms | |
| CN114611623B (en) | A portrait clustering method, device, equipment and medium | |
| Li et al. | An efficient face classification method based on shared and class-specific dictionary learning |