Image Partitioning and Selection in Man and Machine Vision
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Howard Moraff'}
Object recognition requires the selection of related image                      features for consideration by subsequent visual processing                      stages.  This grant will support theoretical and experimental                   studies of image feature selection and linking in human and                     machine vision.  Mathematical, psychophysical, and computational                studies will be carried on in parallel the first year, with                     selection algorithms implemented in Lisp code that can be shared                with other institutions.  Further development, including                        implementation and testing on a Connection Machine, is planned                  for a second-year continuation.  A third year of effort will                    integrate research results with those of synergistic projects                   funded by DARPA and ONR.
[{'FirstName': 'Whitman', 'LastName': 'Richards', 'EmailAddress': 'wrichards@mit.edu', 'StartDate': '08/15/1989', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Eric', 'LastName': 'Grimson', 'EmailAddress': 'welg@ai.mit.edu', 'StartDate': '08/15/1989', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Shimon', 'LastName': 'Ullman', 'EmailAddress': None, 'StartDate': '05/26/1994', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
{'Code': '6840', 'Text': 'ROBOTICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1989&All=true', 'xml': '8900267.xml'}