Optical Recognition of 3-D Targets

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Optical Recognition of 3-D Targets

A method of pattern recognition is presented that can recognize image variations such as different perspective views of a three-dimensional object. The general theory allows many different kinds of image variations, such as rotation, scale, perspective, or combinations of these, to be recognized. The method produces a small bank of about 20 filters to be used in a correlator. We call these filters lock-and-tumbler filters. The theory is illustrated on several different kinds of invariant pattern recognition problems. The correlation filters designed for these invariant recognition problems may be modified to reject certain kinds of clutter in an input scene. An example of modifying these filters to achieve rejection of clutter is given. An implementation of the lock-and-tumbler filter method using a high speed digital correlator is then described.

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SNAC Resource ID: 11613541

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Ochoa, Ellen, 1958-

http://n2t.net/ark:/99166/w6747dv6 (person)

Ellen Ochoa (b. May 10, 1958, Los Angeles, California), is an engineer, astronaut, and director of the Johnson Space Center. She became the first Hispanic woman to go into space in 1993....