SVIBOR - Project code: 2-06-271

MINISTRY OF SCIENCE AND TECHNOLOGY

Strossmayerov trg 4, HR - 10000 ZAGREB
tel.: +385 1 459 44 44, fax: +385 1 459 44 69
E-mail: ured@znanost.hr

SVIBOR

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Project code: 2-06-271


Knowledge representation scheme for computer vision systems


Main researcher: RIBARIĆ, SLOBODAN (112300)


Assistants
Type of research: basic
Duration from: 02/01/91. to 02/01/94.
Papers on project (total): 77
Papers on project quoted in Current Contents: 3
Institution name: Fakultet elektrotehnike i računarstva, Zagreb (36)
Department/Institute: Department for Electronics, Microelectronics, Computer and Intelligent Systems
Address: Avenija Vukovar 39
City: 10000 - Zagreb, Croatia
Communication
Phone: 385 (0)1 6129 935
Fax: 385 (0)1 6129 653
E-mail: Slobodan.Ribaric@fer.hr
Summary: The goal of the project is the developement and the verification of an integral knowledge representation scheme for declarative and procedural knowledge in intelligent information (computer) systems. The achieved research results will serve as a theoretical and practical base for designing complex systems with visual feedback in intelligent industrial and robot systems. The KRP knowledge representation scheme based on Petri Net Theory has been developed. The scheme is used for realization of the semantic level and the rule-based level in the hierarchical knowledge base for robot vision systems. The scheme, which represents declarative and procedural knowledge within a unique framework, enables dynamical interaction between them and gives appropriate mechanisms for mantaining consistent deductions in a relatively predictable working environment. The reasoning procedures (inheritance and recognition) have been developed and tested.

Keywords: computer vision, knowledge representation scheme, procedural knowledge, declarative knowledge, automatic learning, computer architecture system

Research goals: The goal of the project is the development and the verification of an integral knowledge representation scheme for declarative and procedural knowledge in intelligent information (computer) systems. The KRP knowledge representation scheme based on Petri Net Theory has been developed. The scheme is used for realization of the semantic level and the rule-based level in the hierarchical knowledge base for robot vision systems. The scheme, which represents declarative and procedural knowledge within a unique framework, enables dynamical interaction between them and gives appropriate mechanisms for maintaining consistent deductions in a relatively predictable working environment. The reasoning procedures (inheritance and recognition) have been developed and tested. The achieved research results are theoretical and practical base for designing complex systems with visual feedback in intelligent industrial and robot vision systems. A prototype of an integral system which includes visual subsystem and robot arm is developed and tested. The knowledge representation scheme KRP is used as a base of this integration.
Other information about the project.
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Last update: 09/14/95
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