A survey of image registration techniques
ACM Computing Surveys (CSUR)
Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
The handbook of brain theory and neural networks
Stereo correspondence and neural networks
The handbook of brain theory and neural networks
The role of topographical constraints in face recognition
Pattern Recognition Letters
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Group Actions, Homeomorphisms, and Matching: A General Framework
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
1-Click Learning of Object Models for Recognition
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
4-D Voting for Matching, Densification and Segmentation into Motion Layers
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Extension of dynamic link matching by introducing local linear maps
IEEE Transactions on Neural Networks
What is the optimal architecture for visual information routing?
Neural Computation
Rapid convergence to feature layer correspondences
Neural Computation
Learning of Neural Information Routing for Correspondence Finding
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Associative memory of connectivity patterns
Neurocomputing
Learning of lateral connections for representational invariant recognition
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Self-organization of steerable topographic mappings as basis for translation invariance
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
A multifactor winner-take-all dynamics
Neural Computation
Self-organization of topographic bilinear networks for invariant recognition
Neural Computation
Rapid correspondence finding in networks of cortical columns
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Glial cells for information routing?
Cognitive Systems Research
| Hi-index | 0.00 |
We present a correspondence-based system for visual object recognition with invariance to position, orientation, scale and deformation. The system is intermediate between high- and low-dimensional representations of correspondences. The essence of the approach is based on higher-order links, called here maplets, which are specific to narrow ranges of mapping parameters (position, scale and orientation), which interact cooperatively with each other, and which are assumed to be formed by learning. While being based on dynamic links, the system overcomes previous problems with that formulation in terms of speed of convergence and range of allowed variation. We perform face recognition experiments, comparing ours to other published systems. We see our work as a step towards a reformulation of neural dynamics that includes rapid network self-organization as essential aspect of brain state organization.