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{
    "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/"
        }
    ]
}