Grouping for recognition

TitleGrouping for recognition
Publication TypeJournal Articles
Year of Publication1989
AuthorsJacobs DW
JournalAI Memos (1959 - 2004)
Date Published1989///

This paper presents a new method of grouping edges in order to recognize objects. This grouping method succeeds on images of both two- and three- dimensional objects. So that the recognition system can consider first the collections of edges most likely to lead to the correct recognition of objects, we order groups of edges based on the likelihood that a single object produced them. The grouping module estimates this likelihood using the distance that separates edges and their relative orientation. This ordering greatly reduces the amount of computation required to locate objects and improves the system's robustness to error.