Name
Abstract | ||
|---|---|---|
Visual perception of rotation is one of important functions of processing information in the visual pathway. To simulate the mechanism, we propose a model for perception of rotation. First, we briefly introduce the rotation-invariant basis functions learned from natural scenes using Independent Component Analysis (ICA). We used these basis functions to construct the perceptual model. By using the correlation coefficients of two neural responses as the measure of rotation-invariance, our model can perform the task of perception of rotating angles. Computer simulation results show that the present model is able to perceive rotation-invariance and successfully perceive the relative angles of rotating patches. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICNC.2007.311 | ICNC |
Keywords | Field | DocType |
computer simulation result,visual perception,present model,independent component analysis,rotation-invariant perception,basis function,important function,rotation-invariant basis function,perceptual model,computational model,correlation coefficient,visual pathway,information processing,computer simulation,computer model,object recognition | Computer vision,Information processing,Invariant (physics),Computer science,Independent component analysis,Invariant (mathematics),Artificial intelligence,Basis function,Perception,Visual perception,Machine learning,Cognitive neuroscience of visual object recognition | Conference |
Volume | ISSN | ISBN |
2 | 2157-9555 | 0-7695-2875-9 |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenlu Yang | 1 | 28 | 7.81 |
| Liqing Zhang | 2 | 2713 | 181.40 |
| Libo Ma | 3 | 15 | 3.73 |