{"pk":31723,"title":"The Role of Curvature in Representing Shapes for Recognition","subtitle":null,"abstract":"Attneave (1954) claimed that approximations\nmade by connecting the points of mximum\ncurvature ( MAX points) in a picture were\nnecessary and sufQcient for representing shapes for\nrecognition. L o w e (1985) in turn argued that an\nequally sufficient representation is created by\nconnecting points of m i n i m u m curvature ( MIN\npoints); hence MAX points are not necessary.\nHowever, both Attneave and L o w e neglected the\nrole of curvature concentration in their arguments.\nIt is hypothesized here that for shapes with\ncurvature concentrated at a small number of\npoints, MAX point pictures are far better\nrepresentations than MIN pictures. More\ngeneral^,ttiemore curvature was concentrated in\nfewer points, the greater the advantage of MAX\nfigures over MIN figures in recognizability. This\nhypothesis was experimentally verified; s o m e\nimplications for shape representation are\ndiscussed.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Submitted Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/3bp827d3","frozenauthors":[{"first_name":"Matthew","middle_name":"A.","last_name":"Kurbat","name_suffix":"","institution":"University of Michigan","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1993-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31723/galley/22791/download/"}]}