Research Initiation:  Towards a Computational Theory for    Integrating Multiple Sources of Information in Computer     Vision
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
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This project will aim to establish a quantitative framework for                 integrating multi-sensory visual data in computer vision.  Using the            methods of variational calculus, the information from multiple visual           sources will be embedded to achieve the goal of object surface                  reconstruction and recognition.                                                                                                                                 In robotic applications spatial reasoning is important.  Spatial                reasoning means vision, task planning, navigation planning for mobile           robots, symbolic reasoning and the integrating of such reasoning                with geometric constraints.  To the extent spatial inferences must be           made from information gathered from multiple sources the ideas                  developed in this project on integrating information sources are an             important adjunct to spatial reasoning.  Since the formulation of the           problem favors concurrent computing, both computer vision and                   spatial reasoning will benefit from this research.
{'FirstName': 'Baba', 'LastName': 'Vemuri', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Baba C Vemuri', 'EmailAddress': 'vemuri@cise.ufl.edu', 'NSF_ID': '000364369', 'StartDate': '06/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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{'Code': '149500', 'Text': 'COMPUTATIONAL ENGINEERING'}
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