Abstract
AbstractThis paper shows the interaction among the algebraic-analytical data fields theory, the complete descriptions that may be truncated for practical visual tasks and the different level of processing in the early visual pathway, in order to establish a measure of the representation of similarity between images. Our work is based on the approach of modeling the representational capabilities of systems of receptive fields found in early mammalian vision. It is well known that a representation scheme with a metric in the space of representation induce, in a natural way, a similarity measure between images. We propose in this paper to compare different representation schemes, based in previous theorems about completnes on data fields, according to the induced similarity measure.KeywordsVisual CortexReceptive FieldLateral Geniculate NucleusVisual PathwayArtificial VisionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
