Face detection using SURF cascade
Explore this paper's citation graph
- Type
- article
- Published
- 2011-11-01
- Cited by
- 118
- References
- 38
- OpenAlex
- https://openalex.org/W1994215930
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18175644
Keywords
Boosting (machine learning), Cascade, Detector, Computer science, Artificial intelligence
References
- FDDB: A benchmark for face detection in unconstrained settings
- Fast Bounding Box Estimation based Face Detection
- ROC Graphs: Notes and Practical Considerations for Researchers
- On the Design of Cascades of Boosted Ensembles for Face Detection
- Pictorial Structures for Object Recognition
- Cascade object detection with deformable part models
- Improvements of Object Detection Using Boosted Histograms
- Learning sparse features in granular space for multi-view face detection
- On Training Cascade Face Detectors
- An extended set of Haar-like features for rapid object detection
- ImageNet: A large-scale hierarchical image database
- SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
- Boosting the Area under the ROC Curve
- Fast training and selection of Haar features using statistics in boosting-based face detection
- Speeded-Up Robust Features (SURF)
- A discriminatively trained, multiscale, deformable part model
- WaldBoost - learning for time constrained sequential detection
- A Survey of Recent Advances in Face Detection
- Robust Real-Time Face Detection
- Utility data annotation with Amazon Mechanical Turk
Cited by
- Using social semantic knowledge to improve annotations in personal photo collections
- A method for object detection based on pixel intensity comparisons
- Wearable-assisted social interaction as assistive technology for the blind
- Empirical analysis of cascade deformable models for multi-view face detection
- Profile face detection using flipping scheme with genetic algorithm
- Fine-grained evaluation on face detection in the wild
- A deep pyramid Deformable Part Model for face detection
- Robust Face Detection with Eyes Occluded by the Shadow from Dazzling Avoidance System
- Mathematical modeling for partial object detection.
- A convolutional neural network cascade for face detection
- Efficient Boosted Exemplar-Based Face Detection
- Asymmetric Pruning for Learning Cascade Detectors
- Local Metric Learning for Exemplar-Based Object Detection
- C^4: A Real-Time Object Detection Framework
- Expressions invariant face recognition using SURF and Gabor features
- Structural models for face detection
- Transfer learning using adaptive SVM for image classification
- Detecting and Aligning Faces by Image Retrieval
- Selective part models for detecting partially occluded faces in the wild
- SURF cascade face detection acceleration on Sandy Bridge processor
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- Real Time Face Detection System Using Adaboost and Haar-like Features
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