Recognizing solid objects by alignment with an image
International Journal of Computer Vision
Geometric invariance in computer vision
Geometric invariance in computer vision
A Bayesian approach to model matching with geometric hashing
Computer Vision and Image Understanding
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Model-Based Object Recognition by Geometric Hashing
ECCV '90 Proceedings of the First European Conference on Computer Vision
A Study of Affine Matching With Bounded Sensor Error
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Locating Objects of Varying Shape Using Statistical Feature Detectors
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Neural Network-Based Face Detection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Example Based Learning for View-Based Human Face Detection
Example Based Learning for View-Based Human Face Detection
Recognition of visual object classes
Recognition of visual object classes
Deformable templates for face recognition
Journal of Cognitive Neuroscience
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Models for Recognition
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
CL '00 Proceedings of the First International Conference on Computational Logic
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Ilp: a short look back and a longer look forward
The Journal of Machine Learning Research
Real-time face detection and tracking for mobile videoconferencing
Real-Time Imaging
Generic Object Recognition with Boosting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
Foundations and Trends® in Computer Graphics and Vision
The emergence of visual categories: a computational perspective
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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Under a weak perspective camera model, the image plane coordinates in different views of a planar object are related by an affine transformation. Because of this property, researchers have attempted to use affine invariants for recognition. However, there are two problems with this approach: (1) objects or object classes with inherent variability cannot be adequately treated using invariants; and (2) in practice the calculated affine invariants can be quite sensitive to errors in the image plane measurements.In this paper we use probability distributions to address both of these difficulties. Under the assumption that the feature positions of a planar object can be modeled using a jointly Gaussian density, we have derived the joint density over the corresponding set of affine coordinates. Even when the assumptions of a planar object and a weak perspective camera model do not strictly hold, the results are useful because deviations from the ideal can be treated as deformability in the underlying object model.