Patent ID: 6614925
Filing Date: 2003-09-02
Classification: G06K,G06T,H05K,Y10S

Abstract:
A method for performing basic training in a dynamic image recognition system, comprising:collecting raw image data from at least one blank object; segmenting out a region of interest on the at least one blank object; performing at least one spatial image transform to generate a set of derived spaces for the region of interest; generating a set of presence/absence features for the at least one blank object, comprising; spatially clustering similar presence/absence pixel codes in each derived space to create a set of presence/absence features; and representing each significant presence/absence feature as one or more presence/absence boxes; scoring each presence/absence box on each blank object, thereby building a blank object presence/absence score set; collecting raw image data from at least one assembled object; segmenting out a region of interest on the at least one assembled object; performing at least one spatial image transform to generate a set of derived spaces for the region of interest; scoring each present/absence box on each assembled object, thereby building an assembled board presence/absence score set; building a presence/absence knowledge base using the blank object presence/absence score set and the assembled object presence absence score set; pruning each presence/absence box; generating a set of polarity features from a first assembled object, comprising; spatially clustering similar polarity pixel codes in each derived space to create at least one polarity feature; and representing each significant polarity feature as one or more polarity boxes; scoring each polarity box on each assembled object, thereby building an assembled object score set; building a polarity knowledge base using the assembled object score set; and pruning each polarity box.