Name
Abstract | ||
|---|---|---|
A very important problem in computer vision is the matching of features extracted from pairs of images. At this proposal, a new neural network, the Double Asynchronous Competitor (DAC) is presented. It exploits the self-organization for solving the matching as a pattern recognition problem. As a consequence, a set of attributes is required for each image feature. The network is able to find the variety of the input space. DAC exploits two intercoupled neural networks and outputs the matches together with the occlusion maps of the pair of frames taken in consideration. DAC can also solve other matching problems. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74819-9_85 | KES (1) |
Keywords | Field | DocType |
occlusion map,pattern recognition problem,input space,important problem,computer vision,image feature,new neural network,intercoupled neural network,matching problem,feature extraction,self organization,pattern recognition,neural network,image features | Computer vision,Asynchronous communication,Pattern recognition,Computer science,Exploit,Time delay neural network,Artificial intelligence,Artificial neural network,Pattern recognition problem | Conference |
Volume | ISSN | Citations |
4692 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giansalvo Cirrincione | 1 | 121 | 13.13 |
| Maurizio Cirrincione | 2 | 124 | 16.58 |