Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Contribution to the Prediction of Performances of the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition using oriented model points
Computer Vision, Graphics, and Image Processing
On the Verification of Hypothesized Matches in Model-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
The Multiple Window Parameter Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Pose Clustering Using a Randomized Algorithm
International Journal of Computer Vision
The Illumination-Invariant Matching of Deterministic Local Structure in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Localisation and Recognition of Road Vehicles
International Journal of Computer Vision
Uncertainty Propagation in Model-Based Recognition
International Journal of Computer Vision
Bias Error Analysis of the Generalised Hough Transform
Journal of Mathematical Imaging and Vision
A General Method for Geometric Feature Matching and Model Extraction
International Journal of Computer Vision
On the Recognition and Location of Partially Occluded Objects
Journal of Intelligent and Robotic Systems
Bounds on Shape Recognition Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
MINPRAN: A New Robust Estimator for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Contours: Modeling and Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Method for Feature Matching and Model Extraction
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Detection of Image Structures Using the Fisher Information and the Rao Metric
IEEE Transactions on Pattern Analysis and Machine Intelligence
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Distinctiveness of a Curve in a Parameterized Neighborhood: Extraction and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
An algorithm for projective point matching in the presence of spurious points
Pattern Recognition
Seat detection in a car for a smart airbag application
Pattern Recognition Letters
A Unified Framework for Detecting Groups and Application to Shape Recognition
Journal of Mathematical Imaging and Vision
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Recognition of circular patterns on GPUs: Performance analysis and contributions
Journal of Parallel and Distributed Computing
Line detection techniques for automatic content conversion systems
WSEAS Transactions on Information Science and Applications
Object recognition and full pose registration from a single image for robotic manipulation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A general principled method for image similarity validation
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
A shape-based voting algorithm for pedestrian detection and tracking
Pattern Recognition
Robust ellipse-specific fitting for real-time machine vision
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
An efficient approximation algorithm for point pattern matching under noise
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Object recognition with constrained elastic models
Mathematical and Computer Modelling: An International Journal
Journal of Real-Time Image Processing
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Object recognition from sensory data involves, in part, determining the pose of a model with respect to a scene. A common method for finding an object's pose is the generalized Hough transform, which accumulates evidence for possible coordinate transformations in a parameter space whose axes are the quantized transformation parameters. Large clusters of similar transformations in that space are taken as evidence of a correct match. A theoretical analysis of the behavior of such methods is presented. The authors derive bounds on the set of transformations consistent with each pairing of data and model features, in the presence of noise and occlusion in the image. Bounds are provided on the likelihood of false peaks in the parameter space, as a function of noise, occlusion, and tessellation effects. It is argued that haphazardly applying such methods to complex recognition tasks is risky, as the probability of false positives can be very high.