@conference {14835,
	title = {Model group indexing for recognition},
	booktitle = {Computer Vision and Pattern Recognition, 1991. Proceedings CVPR {\textquoteright}91., IEEE Computer Society Conference on},
	year = {1991},
	month = {1991/06//},
	pages = {4 - 9},
	abstract = {It is shown that an index space can be a powerful tool for reducing the image-model match search by a factor of <e1>k</e1><sup>G-3 </sup>, but only when accompanied by some mechanism, such as grouping, that prevents the system from having to consider all matches between image groups of size G and model groups of size <e1>G</e1>. It is also shown that if image groups are to index a single point at recognition time, then the index space must contain pointers to each model group over a 2-D sheet, and should therefore be 2<e1>G</e1>-4 dimensional. A simple indexing system has been implemented to demonstrate these concepts, and a series of experiments have been conducted to investigate the tradeoffs between space and time. They indicate that the speedups are achievable, but require a large amount of space},
	keywords = {2-D, dimensional;image, group, groups;image-model, indexing;pattern, lookup;, match, pattern, recognition;data, recognition;pointers;computer, search;index, sheet;2G-4, space;indexing, structures;table, system;model, vision;computerised},
	doi = {10.1109/CVPR.1991.139652},
	author = {Clemens,D. T and Jacobs, David W.}
}
