| Ferguson, R. and Forbus, K. (2000). GeoRep: A flexible tool for spatial representation of line drawings. Proceedings of AAAI-2000. Austin, Texas. |
....critique and refine. An initial query would be posed to determine if there was a problem of a particular sort. Further queries would zero in on the specifics of the problem so that the answer returned could provide the user with enough information necessary to effect a repair. We utilized GeoRep [Ferguson, et al., 1999] as our geospatial reasoner. GeoRep can take as inputs the latitudes and longitudes of all objects drawn on the COA sketch and answer location and proximity questions with its qualitative spatial reasoning. It also provides trafficability support. For details see [Donlon et al., 1999] We used the ....
Ferguson, R.W. and Forbus, K.D. 1999, GeoRep: A Flexible Tool for Spatial Representation of Line Drawings. Proceedings of the Qualitative Reasoning Workshop. Loch Awe, Scotland..
....of applications for CYC mentioned by Cycorp, nor the projects currently listed as being part of the DARPA HighPerformance Knowledge Base (HPKB) project appear to include detailed geospatial knowledge of the kind described in this paper. The work of Ferguson, Donlon, and Forbus on spatial reasoning (Ferguson Forbus 1999) and trafficability (Donlon Forbus 1999) may be the closest related work in AI, but though techniques and representations may carry over, significant extensions (at the very least) will be needed before this system can be used in this domain. Commercial information systems dealing with maritime ....
Ferguson, R., and Forbus, K. 1999. GeoRep: A flexible tool for spatial representation of line drawings. In Proceedings of the Qualitative Reasoning Workshop, Loch Awe, Scotland. URL: http://www.qrg.ils.nwu.edu/papers/papers.htm.
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Ferguson, R. and Forbus, K. (2000). GeoRep: A flexible tool for spatial representation of line drawings. Proceedings of AAAI-2000. Austin, Texas.
....to simply recognize both of these as arrows. The richness of visual properties that can arise even with very stylized visual symbologies is illustrated by the third example, Figure 7, which shows a pair of attacks that has been automatically identified as symmetric by high level visual reasoning [11, 12]. Understanding such emergent configurations requires computing spatial relationships across multiple visual elements as they are drawn, and understanding the conceptual import of these relationships. These examples suggest that powerful visual skills are one of the keys to human like sketching. ....
....take on more of a community memory role. Currently there are domain specific systems that do sketch based retrieval [9,17] but these only operate in narrow domains. Some progress has been made on using similarity in visual encoding, particularly to detect symmetry and regularity in line drawings [11], but using these and other analogical encoding techniques in visual understanding is currently an area of active research. Sketching systems that can carry out such visual analogies and retrievals in a broad range of domains will be another important benchmark in modeling sketching. 6. ....
Ferguson, R.W. and Forbus, K.D. 2000. GeoRep: A Flexible Tool for Spatial Representation of Line Drawings. Proceedings of AAAI-2000. Austin, Texas.
....R. W. 2000)##CITEEND##. Modeling orientation effects in symmetry detection: The role of visual structure, Proceedings of the 22nd Conference of the Cognitive Science Society. Hillsdale, New Jersey: Erlbaum. Modeling Orientation Effects in Symmetry Detection: The Role of Visual Structure Ronald W. Ferguson ....
....a single relational description. MAGI also uses additional mapping constraints to maximize the self similarity of the mapped portions. For visual figures 1 , MAGI works directly from a vectorbased line drawing. To obtain a description of the visual relations in the drawing, MAGI uses GeoRep (Ferguson Forbus, 2000), a spatial representation engine. GeoRep represents visual relations detected early in perception, including element connectivity (such as corners and intersections) parallel elements, horizontally and verticallyoriented structure, and protrusions and indentations in the figure boundary. MAGI ....
Ferguson, R. W., & Forbus, K. D. (2000). GeoRep: A flexible tool for spatial representation of line drawings, Proceedings of the 18th National Conference on Artificial Intelligence. Austin, Texas: AAAI Press.
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Ferguson, R.W. and K.D. Forbus. GeoRep: A flexible tool for spatial representation of line drawings. In Proc. 18th National Conference on Artificial Intelligence. 2000. Austin, Texas: AAAI Press, pp. 510-516.
No context found.
Ferguson, R.W. and K.D. Forbus. GeoRep: A flexible tool for spatial representation of line drawings. In Proc. 18th National Conference on Artificial Intelligence. 2000. Austin, Texas: AAAI Press, pp. 510-516.
No context found.
Ronald W. Ferguson, & Kenneth D. Forbus. GeoRep: A flexible tool for spatial representation of line drawings, Proceedings of the 18th National Conference on Artificial Intelligence. Austin, Texas: AAAI Press, 2000.
No context found.
Ferguson, R. W., & Forbus, K. D. (2000). GeoRep: A flexible tool for spatial representation of line drawings, Proceedings of the 18th National Conference on Artificial Intelligence. Austin, Texas: AAAI Press.
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