Intesym Idemetric Processors form a stimuli receptive field network with optional feedback paths, and multiple processors can be combined to expand the size of such a field to support more complex processing requirements. Such a network resembles biological receptive fields, e.g. a visual perception system would be comparable to the field hierarchy running from the retina (image input) to the extrastriate visual areas (useful output).
The input of such a field can be multi-dimensional and is typically an image, but could also be audio or other signal, and the output is a conceptual representation of the input. The output could be as simple as percentage similarities of the query relative to the contents of a database for image recognition, or it could be as complex as representing an “understanding” of a complete scene for a roving robot. Feedbacks can exist within the field to allow for the resolution of ambiguities or for refining processing according to subsequent discoveries. The feedback mechanism can also provide a dynamic memory for the processing of real-time signals or motion pictures.
An image processing technology capable of, amongst other things, measuring the similarity of images, recognising contents, and understanding scenes.
Idemetric Processing homepage
Recognition vs. Similarity
Receptive Field networks
ISIS Similarity Server