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{ "extrinsic": { "provider": "https://deposit.softwareheritage.org/1/private/1332/meta/", "raw": { "origin": { "type": "deposit", "url": "https://doi.org/10.5201/ipol.2018.229" }, "origin_metadata": { "metadata": { "atom:external_identifier": "ipol.2018.229", "atom:title": "ipol_229", "codemeta:applicationCategory": "Image Processing", "codemeta:author": [ { "codemeta:affiliation": "CTIM, Department of Computer Science, University of Las Palmas de Gran Canaria, Spain", "codemeta:name": "Javier S\u00e1nchez" }, { "codemeta:affiliation": "CMLA, Ecole Normale Sup\u00e9rieure , Universit\u00e9 Paris-Saclay, France", "codemeta:name": "Nelson Monz\u00f3n" }, { "codemeta:affiliation": "CTIM, Department of Computer Science, University of Las Palmas de Gran Canaria, Spain", "codemeta:name": "Agust\u00edn Salgado" } ], "codemeta:dateCreated": "2018-09-20", "codemeta:datePublished": "2019-09-12", "codemeta:description": "An Analysis and Implementation of the Harris Corner Detector", "codemeta:downloadUrl": "http://www.ipol.im/pub/art/2018/229/harris-corner-detector_1.1.zip", "codemeta:identifier": "https://doi.org/10.5201/ipol.2018.229", "codemeta:isPartOf": { "codemeta:identifier": "ISSN: 2105-1232 DOI: 10.5201/ipol", "codemeta:name": "Image Processing On Line (IPOL)", "codemeta:type": "Journal" }, "codemeta:keywords": [ "Harris corner", "feature detector", "interest point", "autocorrelation matrix", "non-maximum suppression" ], "codemeta:license": { "codemeta:name": "BSD-2-Clause", "codemeta:url": "https://spdx.org/licenses/BSD-2-Clause.html" }, "codemeta:operatingSystem": "Linux", "codemeta:programmingLanguage": "C", "codemeta:referencePublication": { "codemeta:abstract": "In this work, we present an implementation and thorough study of the Harris corner detector. This feature detector relies on the analysis of the eigenvalues of the autocorrelation matrix. The algorithm comprises seven steps, including several measures for the classification of corners, a generic non-maximum suppression method for selecting interest points, and the possibility to obtain the corners position with subpixel accuracy. We study each step in detail and propose several alternatives for improving the precision and speed. The experiments analyze the repeatability rate of the detector using different types of transformations.", "codemeta:identifier": "https://doi.org/10.5201/ipol.2018.229", "codemeta:name": "An Analysis and Implementation of the Harris Corner Detector", "codemeta:url": "http://www.ipol.im/pub/art/2018/229/article.pdf" }, "codemeta:relatedLink": "http://ipolcore.ipol.im/demo/clientApp/demo.html?id=229", "codemeta:releaseNotes": "This code implements the algorithm(s) published in the IPOL paper \"An Analysis and Implementation of the Harris Corner Detector\"", "codemeta:url": "http://www.ipol.im/pub/art/2018/229/", "codemeta:version": "1.0" }, "provider": { "metadata": {}, "provider_name": "", "provider_type": "deposit_client", "provider_url": "https://doi.org/10.5201/" }, "tool": { "configuration": { "sword_version": "2" }, "name": "swh-deposit", "version": "0.8.0" } } }, "when": "2020-12-26T16:29:11.218814+00:00" }, "original_artifact": [ { "checksums": { "sha1": "c0ecb8e49685c3cc587132a52c99b363fb03d02d", "sha256": "83cf4261443e2f8b3765d4a7d47d965c8581c0cf356b2fb264b0679cbae4b758" }, "filename": "archive.zip", "length": 4521402, "url": "https://deposit.softwareheritage.org/1/private/1332/raw/" } ] }
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harris-corner-detector_1.1 |
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