ENGINEERING RESEARCH EQUIPMENT GRANT:  Robot Vision System  for Advanced Industrial Automation
{'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}
A machine vision system is being acquired, which will be used to                support current research in three-dimensional object recognition and            imag analysis.  The system will be used to explore a new, general               approach to recognizing, describing, and understanding                          three-dimensional objects in any arbitrary orientation, given a single          2_d camera image and predefined object models.  The models consist of a         series of edge vectors and vertices in 3-space.  The procedure for              detecting an object and its orientation involves matching of pairs of           edges from the models to pairs of edges in the image.  Using the                matched data, an expert system can be developed to compile the                  information into a comprehensive set of descriptions of the 3-D scene.
{'FirstName': 'Ren', 'LastName': 'Luo', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ren C Luo', 'EmailAddress': 'luo@eos.ncsu.edu', 'NSF_ID': '000109063', 'StartDate': '09/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'ZipCode': '276950001', 'PhoneNumber': '9195152444', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NC02', 'ORG_UEI_NUM': 'U3NVH931QJJ3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1465', 'Text': 'PRODUCTION SYSTEMS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8605463.xml'}