Method of creating a divergence transform for a class of objects
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United States of America Patent
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Issued Date -
Nov 30, 2006
app pub date -
Mar 14, 2006
filing date -
Mar 15, 2005
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of Iterative Transformational Divergence in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the physical, chemical, or numerical properties of the object or its representation (such as images), combined with machine learning capabilities. Using the system and methods of the present invention, certain objects that appear indistinguishable from other objects to the eye or computer recognition systems, or are otherwise almost identical, generate radically different and statistically significant differences in the image describers (metrics) that can be easily measured.
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