Neural Networks - Special issue: automatic target recognition
Analog VLSI cellular implementation of the boundary contour system
Proceedings of the 1998 conference on Advances in neural information processing systems II
A Model of Contour Integration in Early Visual Cortex
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Contour Integration and Segmentation with Self-Organized Lateral Connections
Contour Integration and Segmentation with Self-Organized Lateral Connections
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
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This paper presents a new method suitable for shape recognition, inspired by the Primary Visual Cortex of the Human Visual System. It extracts a description for 2-dimensional shapes with a closed contour, regardless of their size, rotation and position, with low computational cost. The paper introduces a new computational approach to the modeling of the hypercolumns of the Primary Visual Cortex, which requires significantly less computational burden and which is highly parallel. A new shape descriptor based on the relative angles of an object is also proposed. It produces close results for different shapes of the same object, it is proportion-flexible and it can identify distorted shapes correctly. Experimental results prove that the method is adequate for shape-based image retrieval and classification, as well as for efficiently storage of edges and line drawings.