Patent ID: 6038337
Filing Date: 2000-03-14
Classification: G06K

Abstract:
A method for recognizing an object having an object having a set of features, the method comprising the steps of:sampling a plurality of local regions of an image of the object by stepping a local window in discrete steps over the image to generate a set of sample vectors;reducing the dimensionality of the sample vectors, including (a) training a self-organizing map on the set of sample vectors, (b) stepping, in discrete steps, the local window over any images contained in any training and any test sets, thereby producing a resultant local image sample at each one of the discrete steps, and (c) generating a new training set in an output space of the self-organizing map by passing the resulting local image samples through the self-organizing map;extracting the features of the object from the dimensionally reduced sample vectors, including training a convolutional neural network on the newly generated training set; andclassifying the object into a known classification using the extracted features.