Name
Abstract | ||
|---|---|---|
In this paper, it is shown that the spatial-temporal dynamics of the perceived 3D surface using an infrared proximity array gives well-characterized spatial-temporal dynamics at the output of the cellular nonlinear network (CNN) wave computer. For practical reasons, the continuous input is a series of consecutive infrared images, which are the consecutive states of the input stream. The spatial-temporal dynamics of the output can be well characterized by quantitative and qualitative (specific morphology and oscillation frequency) spatial and temporal features. By processing a changing image flow as an input of the CNN wave computer, specific attributes of the input can be identified, which are unidentifiable while processing the still input images individually. Theoretical considerations were experimentally analyzed through template tuning and the depth modality of the measurement setup. Computations are performed on a CNN software simulator interfaced to an infrared proximity array. Copyright © 2012 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1002/cta.1843 | I. J. Circuit Theory and Applications |
Keywords | Field | DocType |
input stream,specific attribute,cnn wave computer,infrared proximity array,consecutive state,input image,spatial-temporal dynamic,consecutive infrared image,cnn software simulator,continuous input,spatial-temporal active wave computing | Computer vision,Oscillation,Nonlinear system,Image flow,Computer science,Electronic engineering,Artificial intelligence,Infrared,Software simulator,Computation | Journal |
Volume | Issue | ISSN |
40 | 12 | 0098-9886 |
Citations | PageRank | References |
1 | 0.48 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miklós Koller | 1 | 4 | 1.25 |
| György Cserey | 2 | 31 | 7.91 |