RUI:  Computer Vision and Image Understanding (Computer     and Information Science)
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
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This research project is concerned with four basic problems in                  computer vision and image understanding.                                                (1) Recovery of three-dimensional shape from image                      intensities.  Using photometric stereo and other structural                     lighting models, a systematic approach to recovery of complete                  local surface geometry and reconstruction of surface patches from               image information will be developed.                                                    (2) Recovery of deformation and motion parametersof not                 necessarily rigid objects.  Rigidity has long been a key                        assumption in computer vision aNd robotics.  For motion analysis,               this assumption will be relaxed.  Many known results will be                    subsumed.  Although there is no uniqueness result in general,                   closed form solutions will be derived for certain special cases.                        (3) The correspondence problem using three-dimensional                  geometric features.  Using photometric stereo and other                         structured lighting models, local and global three-dimensional                  geometric features will be extracted from objects to establish                  correspondence of image sequences.                                                      (4) Object recognition using range data.  Parametric surface            patches will be constructed using range data.  Efficient                        algorithms will be developed to calculate geometric features of                 such surfaces so that they may be used to                                       reconstruct/recognize/learn objects in world space.
{'FirstName': 'Su-Shing', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Su-Shing Chen', 'EmailAddress': 'suchen@cise.ufl.edu', 'NSF_ID': '000349652', 'StartDate': '06/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of North Carolina at Charlotte', 'CityName': 'CHARLOTTE', 'ZipCode': '282230001', 'PhoneNumber': '7046871888', 'StreetAddress': '9201 UNIVERSITY CITY BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NC12', 'ORG_UEI_NUM': 'JB33DT84JNA5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE, THE', 'ORG_PRNT_UEI_NUM': 'N8DMK1K4C2K5'}
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[{'Code': '6840', 'Text': 'ROBOTICS'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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