The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Mobile Robot Localization Using Sonar
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based recognition using 3D structure from motion
Image and Vision Computing - Special issue: papers from the second Alvey Vision Conference
Model-based recognition using 3D shape alone
Computer Vision, Graphics, and Image Processing
The combinatorics of object recognition in cluttered environments using constrained search
Artificial Intelligence
On the Verification of Hypothesized Matches in Model-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Sufficient Condition for Backtrack-Free Search
Journal of the ACM (JACM)
Synthesizing constraint expressions
Communications of the ACM
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
The Use of Grouping in Visual Object Recognition
The Use of Grouping in Visual Object Recognition
Three-Dimensional Recognition of Solid Objects from a Two- Dimensional Image
Three-Dimensional Recognition of Solid Objects from a Two- Dimensional Image
Performance measurement and analysis of certain search algorithms.
Performance measurement and analysis of certain search algorithms.
Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework for Performance Characterization of Intermediate-Level Grouping Modules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Localisation and Recognition of Road Vehicles
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Tracking of Complex Objects Using Dynamic Interpretation Tree
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Design Considerations for Generic Grouping in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical parsing and recognition of hand-sketched diagrams
Proceedings of the 17th annual ACM symposium on User interface software and technology
Hierarchical parsing and recognition of hand-sketched diagrams
ACM SIGGRAPH 2007 courses
Learning function-based object classification from 3D imagery
Computer Vision and Image Understanding
Digital Human Modeling
Function-based classification from 3D data via generic and symbolic models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Combining geometric and appearance priors for robust homography estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
A Computational Learning Theory of Active Object Recognition Under Uncertainty
International Journal of Computer Vision
| Hi-index | 0.14 |
Many current recognition systems terminate a search once an interpretation that is good enough is found. The author formally examines the combinatorics of this approach, showing that choosing correct termination procedures can dramatically reduce the search. In particular, the author provides conditions on the object model and the scene clutter such that the expected search is at most quartic. The analytic results are shown to be in agreement with empirical data for cluttered object recognition. These results imply that it is critical to use techniques that select subsets of the data likely to have come from a single object before establishing a correspondence between data and model features.