Contours, Surfaces and Volumes
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Howard Moraff', 'PO_EMAI': None, 'PO_PHON': None}
Previous work on shape extraction and description by slice-to-             slice contour matching will be extended to multiple objects with                branching structures.  Both surface fitting and volumetric modeling             will be explored, with emphasis on high-level operations and                    recognition of "obvious" correspondences.  Both spatial (or                     temporal) position and 2-D shape understanding will thus be used to             attack the 3-D correspondence problem in a biological domain                    (retinal microscopy) where shapes are complex and neither size nor              orientation is constant from one slice to the next.
{'FirstName': 'Kenneth', 'LastName': 'Sloan', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': 'Jr.', 'PI_FULL_NAME': 'Kenneth R Sloan', 'EmailAddress': 'sloan@cis.uab.edu', 'NSF_ID': '000196704', 'StartDate': '12/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', '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': '6840', 'Text': 'ROBOTICS'}
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