@conference {11985,
	title = {Multiple View Image Reconstruction: A Harmonic Approach},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR {\textquoteright}07},
	year = {2007},
	month = {2007/06/17/22},
	pages = {1 - 8},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {This paper presents a new constraint connecting the signals in multiple views of a surface. The constraint arises from a harmonic analysis of the geometry of the imaging process and it gives rise to a new technique for multiple view image reconstruction. Given several views of a surface from different positions, fundamentally different information is present in each image, owing to the fact that cameras measure the incoming light only after the application of a low-pass filter. Our analysis shows how the geometry of the imaging is connected to this filtering. This leads to a technique for constructing a single output image containing all the information present in the input images.},
	keywords = {CAMERAS, filtering theory, Geometry, Harmonic analysis, Image reconstruction, imaging process geometry, Information filtering, Joining processes, Low pass filters, low-pass filter, low-pass filters, multiple view image reconstruction, Position measurement, Power harmonic filters, surface reconstruction},
	isbn = {1-4244-1180-7},
	doi = {10.1109/CVPR.2007.383285},
	author = {Domke, J. and Aloimonos, J.}
}
@conference {17101,
	title = {Dynamic queries and brushing on choropleth maps},
	booktitle = {Fifth International Conference on Information Visualisation, 2001. Proceedings},
	year = {2001},
	month = {2001///},
	pages = {757 - 764},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Users who must combine demographic, economic or other data in a geographic context are often hampered by the integration of tabular and map representations. Static, paper-based solutions limit the amount of data that can be placed on a single map or table. By providing an effective user interface, we believe that researchers, journalists, teachers, and students can explore complex data sets more rapidly and effectively. This paper presents Dynamaps, a generalized map-based information visualization tool for dynamic queries and brushing on choropleth maps. Users can use color coding to show a variable on each geographic region, and then filter out areas that do not meet the desired criteria. In addition, a scatterplot view and a details-on-demand window support overviews and specific fact-finding},
	keywords = {brushing, business, cartography, choropleth maps, color coding, colour graphics, complex data sets, Computational Intelligence Society, Computer science, data visualisation, Data visualization, demographic data, Demography, Dynamaps, dynamic queries, economic data, Educational institutions, geographic information system, geographic information systems, Joining processes, map representations, map-based information visualization, Query processing, Scattering, scatterplot view, tabular representations, user interface, User interfaces, World Wide Web},
	isbn = {0-7695-1195-3},
	doi = {10.1109/IV.2001.942141},
	author = {Dang,G. and North,C. and Shneiderman, Ben}
}
@article {16737,
	title = {The Logical Access Path Schema of a Database},
	journal = {IEEE Transactions on Software Engineering},
	volume = {SE-8},
	year = {1982},
	month = {1982/11//},
	pages = {563 - 573},
	abstract = {A new schema which models the usage of the logical access paths of the database is proposed. The schema models all database activities (i.e., retrievals and updates), and integrates their logical access paths by recognizing common subpaths and increasing the "weight" of the shared subpaths. The logical access path schema provides a comprehensive picture of the logical access paths, and the cumulative usage of the shared subpaths and/or intermediate results. The schema serves a dual purpose. Firstly, it is used as a model of the access requirements during the database design, and secondly, as the basis for optimization during the operation of the database.},
	keywords = {Aggregation hierarchy, Calculus, Computer science, Data structures, Databases, Design optimization, external logical subschema, generalization hierarchy, Information retrieval, Joining processes, logical access path, propositional calculus, views},
	isbn = {0098-5589},
	doi = {10.1109/TSE.1982.235886},
	author = {Roussopoulos, Nick}
}
