Deformable models have been intensively studied in image analysis through the last decade, and are used for detection and recognition of flexible or rigid templates under diverse viewing conditions. Genetic algorithm ...
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Deformable models have been intensively studied in image analysis through the last decade, and are used for detection and recognition of flexible or rigid templates under diverse viewing conditions. Genetic algorithm (GA) based deformable models are used for generic visual landmark detection and interpretation. The developed system allows topologic localization and navigation using natural and artificial landmarks, exploiting deformable models' ability for handling landmark perspective variations. The resulting perception module has been integrated successfully in a complex navigation system. Various experimental results in real environments are presented on this paper, showing the effectiveness and capacity of the landmark detection and reading system.
A fault simulation and test-pattern-generation environment is specified. It includes a multiple-valued algebra, allows the natural treatment of loops and bidirectional devices, and models the physical failures. The au...
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A fault simulation and test-pattern-generation environment is specified. It includes a multiple-valued algebra, allows the natural treatment of loops and bidirectional devices, and models the physical failures. The authors' main idea is to define what is possible when no extraction to gate level and no creation of transistor groups are performed. Two fault groups are distinguished: the faults which can be modelled in a downward layout, and the faults which can be modelled in an upward verification. This distinction induces difference in the switch network obtained, as the second group allows to model the line resistances.< >
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