Orthographic Projection Approach to 3-D Industrial Parts    Recognition in Manufacturing
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'K. (Cheena) Srinivasan', 'PO_EMAI': None, 'PO_PHON': None}
This work will explore the application of a set of coordinate                   transformations to the derivation of orthographic projections of                objects from grey-scale video camera images, and the use of those               projections, which are viewpoint-invariant, as features for 3D object           recognition.  Most of the research in this area has been aimed at               reconstruction of 3D object models or figure interpretations from               projections that were initially given, or on object recognition from            line drawings or shading information.  This effort could lead to a              useful new method for extracting invariant features for object                  recognition.  The limitations of this method, in terms of requirements          and constraints on the kinds of objects for which it can be effective,          will be explored in this study.
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[{'Code': '146300', 'Text': 'INTEGRATION ENGINEERING'}, {'Code': '146500', 'Text': 'PRODUCTION SYSTEMS'}]
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