| 摘要 |
A method is described for mapping dense sensory data to a Sensory Ego Sphere (SES) (220). Methods are also described for finding and ranking areas of interest in the images that form a complete visual scene on an SES (220). Further, attentional processing of image data is best done by performing attentional processing on individual full-size images from the image sequence, mapping each attention location to the nearest node, and then summing all attentional locations at each node. More information is available through this method since attentional processing is repeatedly done on each image in the sequence. An attentional point that has persisted in several adjacent images will have a higher activation value and, therefore, will be deemed more salient than an attentional point found in only one image. Therefore, the confidence that a location deemed salient by this method is an actual salient feature is greater than with the alternative processing methods in which attentional processing is performed only once on the image reconstructed from the foveal windows posted on the SES (220). |
