Division of Informatics
Forrest Hill & 80 South Bridge
Research Paper #912 | |
|---|---|
| Title: | A Retina-like Image Representation of Primal Sketch Features Extracted using a Neural Network Approach |
| Authors: | Gomes,HM; Fisher,RB; Hallam,JC |
| Date: | May 1998 |
| Presented: | Accepted for publication in Noblesse Workshop on Non-Linear Model Based Image Analysis |
| Keywords: | |
| Abstract: | This paper presents a log-polar image representation composed of low-level features extracted using a connectionist approach. The low level features (edges, bars, blobs and ends) are based on Marr's primal sketch hypothesis for the human visual system [3] and are used as the entry point of an iconic vision system [1]. This unusual image representation has been created using a neural network that learns examples of the features in a window of receptive fields of the image representation. |
| Download: | POSTSCRIPT COPY |
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