The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Descriptors for 3D Object Recognition and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
3D object recognition using invariance
Artificial Intelligence - Special volume on computer vision
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using photometric invariants for 3D object recognition
Computer Vision and Image Understanding
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Object Detection and Localization by Dynamic Template Warping
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Semi-Naive Bayesian Classifier
EWSL '91 Proceedings of the European Working Session on Machine Learning
Real-Time Multi-View Face Detection
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A statistical approach to 3d object detection applied to faces and cars
A statistical approach to 3d object detection applied to faces and cars
A Neural Network Architecture for Visual Selection
Neural Computation
Segmentation and classification of meetings using multiple information streams
Proceedings of the 6th international conference on Multimodal interfaces
Pre-Attentive and Attentive Detection of Humans in Wide-Field Scenes
International Journal of Computer Vision
Multi-view face and eye detection using discriminant features
Computer Vision and Image Understanding
On the Design of Cascades of Boosted Ensembles for Face Detection
International Journal of Computer Vision
The AIT 2D Face Detection and Tracking System for CLEAR 2007
Multimodal Technologies for Perception of Humans
PittPatt Face Detection and Tracking for the CLEAR 2007 Evaluation
Multimodal Technologies for Perception of Humans
A view-based statistical system for multi-view face detection and pose estimation
Image and Vision Computing
Local Rank Patterns --- Novel Features for Rapid Object Detection
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Optimization of a training set for more robust face detection
Pattern Recognition
PittPatt face detection and tracking for the CLEAR 2006 evaluation
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Structured ordinal features for appearance-based object representation
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
FEA-Accu cascade for face detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fast PRISM: Branch and Bound Hough Transform for Object Class Detection
International Journal of Computer Vision
Efficient use of geometric constraints for sliding-window object detection in video
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Multi-view fast object detection by using extended haar filters in uncontrolled environments
Pattern Recognition Letters
Towards optimal training of cascaded detectors
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Face recognition using ordinal features
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Face detection in low-resolution images
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Detecting faces from low-resolution images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
On a face detection with an adaptive template matching and an efficient cascaded object detection
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Asymmetric constraint optimization based adaptive boosting for cascade face detector
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Semi-supervised facial landmark annotation
Computer Vision and Image Understanding
Boosted translation-tolerable classifiers for fast object detection
Image and Vision Computing
Movie posters from video by example
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Efficient and accurate face detection using heterogeneous feature descriptors and feature selection
Computer Vision and Image Understanding
Alternative search techniques for face detection using location estimation and binary features
Computer Vision and Image Understanding
Combining fast extracted edge descriptors and feature sharing for rapid object detection
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Automatic facial expression recognition in real-time from dynamic sequences of 3D face scans
The Visual Computer: International Journal of Computer Graphics
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We describe a cascaded method for object detection. This approach uses a novel organization of the first cascade stage called "feature-centric" evaluation which re-uses feature evaluations across multiple candidate windows. We minimize the cost of this evaluation through several simplifications: (1) localized lighting normalization, (2) representation of the classifier as an additive model and (3) discrete-valued features. Such a method also incorporates a unique feature representation. The early stages in the cascade use simple fast feature evaluations and the later stages use more complex discriminative features. In particular, we propose features based on sparse coding and ordinal relationships among filter responses. This combination of cascaded feature-centric evaluation with features of increasing complexity achieves both computational efficiency and accuracy. We describe object detection experiments on ten objects including faces and automobiles. These results include 97% recognition at equal error rate on the UIUC image database for car detection.