Article Instance

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{
    "pk": 33038,
    "title": "A Model of Scan Paths Applied to Face Recognition",
    "subtitle": null,
    "abstract": "develop a model of scan path generation based on the \noutput of low level filters. The highest variance of Gabor \njet filters computed over orientations are used as the object \nof attention. These points are held in a feature map which is \ninhibited as attention points are visited, creating a new attention \npoint elsewhere. Scan paths generated this way can be used \nfor recognition purposes where \"single-shot\" methods, such as \nPCA, would fail because the image is not registered.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0nf805rm",
    "frozenauthors": [
        {
            "first_name": "Keiji",
            "middle_name": "",
            "last_name": "Yamada",
            "name_suffix": "",
            "institution": "NEC Corporation",
            "department": ""
        },
        {
            "first_name": "Garrison",
            "middle_name": "W .",
            "last_name": "Cottrell",
            "name_suffix": "",
            "institution": "University of California, San Diego",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33038/galley/24100/download/"
        }
    ]
}