Edge-Labeling Using Dictionary-Based Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Object Recognition Using Bipartite Matching Embedded in Discrete Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Matching With a Dual-Step EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Subgraph Isomorphism
Journal of the ACM (JACM)
Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Saliency, Scale and Image Description
International Journal of Computer Vision
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Efficient Subgraph Isomorphism Detection: A Decomposition Approach
IEEE Transactions on Knowledge and Data Engineering
Structural Matching in Computer Vision Using Probabilistic Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Parallel Genetic Heuristic for the Quadratic Assignment Problem
Proceedings of the 3rd International Conference on Genetic Algorithms
Many-to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A New Probabilistic Relaxation Scheme
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Foundations of Relaxation Labeling Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Lagrangian relaxation network for graph matching
IEEE Transactions on Neural Networks
Distinct Multicolored Region Descriptors for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semi-supervised learning of object categories from paired local features
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
| Hi-index | 0.00 |
Object recognition using graph-matching techniques can be viewed as a two-stage process: extracting suitable object primitives from an image and corresponding models, and matching graphs constructed from these two sets of object primitives. In this paper we concentrate mainly on the latter issue of graph matching, for which we derive a technique based on probabilistic relaxation graph labelling. The new method was evaluated on two standard data sets, SOIL-47 and COIL-100, in both of which objects must be recognised from a variety of different views. The results indicated that our method is comparable with the best of other current object recognition techniques. The potential of the method was also demonstrated on challenging examples of object recognition in cluttered scenes.