Multisensor knowledge systems: interpreting 3-D structure

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Henderson, Thomas C.
Other Author Mitiche, A.; Weitz, E.; Hansen, C.
Title Multisensor knowledge systems: interpreting 3-D structure
Date 1987
Description We describe an approach which facilitates and makes explicit the organization of the knowledge necessary to map multisensor system requirements onto an appropriate assembly of algorithms, processors, sensors, and actuators. We have previously introduced the Multisensor Kernel System and Logical Sensor Specifications as a means for high-level specification of multisensor systems. The main goals of such a characterization are: to develop a coherent treatment of multisensor information, to allow system reconfiguration for both fault tolerance and dynamic response to environmental conditions, and to permit the explicit description of control. In this paper we show how Logical Sensors can be incorporated into an object-based approach for the interpretation of 3-D structure. Considering the inherent difficulties in interpreting general configurations of lines in space, and considering the ubiquitousness of special line configurations in man-made environments and objects, we advocate the use of computational units tuned to the occurrence of special configurations. The organized use of these units circumvents the inherent difficulties in interpreting general configurations of lines. After a brief examination of the problem of interpreting general configurations of lines in space, a number of computational units are proposed which are naturally derived from angular relations. The process of propagation (which allows interpretation to spread over the image) is also advocated. Such computational units and processes, which are simple and efficient, can be conveniently organized in a rule-based framework where the occurrence of the various special configurations can be tested. The Multisensor Knowledge System provides such a framework.
Type Text
Publisher University of Utah
First Page 1
Last Page 36
Subject Multisensors; Knowledge systems; 3-D structure; Logical Sensors
Language eng
Bibliographic Citation Henderson, T., Mitiche, A., Weitz, E., & Hansen, C. (1987). Multisensor knowledge systems: interpreting 3-D structure. 1-36. UUCS-87-028.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 8,514,127 bytes
Identifier ir-main,16342
ARK ark:/87278/s6zs3dr3
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2015-04-23
ID 703643
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