{"id":1546,"date":"2020-02-06T15:57:08","date_gmt":"2020-02-06T17:57:08","guid":{"rendered":"http:\/\/web.inf.ufpr.br\/vri\/?page_id=1546"},"modified":"2022-11-11T16:04:20","modified_gmt":"2022-11-11T19:04:20","slug":"ufpr-eyeglasses","status":"publish","type":"page","link":"https:\/\/web.inf.ufpr.br\/vri\/databases\/ufpr-eyeglasses\/","title":{"rendered":"UFPR-Eyeglasses Dataset"},"content":{"rendered":"\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-1799\" src=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-1-1024x643.png\" alt=\"UFPR-Eyeglasses\" width=\"768\" height=\"482\" srcset=\"https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-1-1024x643.png 1024w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-1-300x188.png 300w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-1-768x482.png 768w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-1-360x226.png 360w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-1.png 1164w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/p>\n<p><span style=\"font-weight: 400\">The UFPR-Eyeglasses dataset has 1,135 images of both eyes (2,270 cropped images of each eye) from 83 subjects (166 classes). <\/span><span style=\"font-weight: 400\">It has been introduced in our paper <a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/zanlorensi2020unconstrained.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">[PDF]<\/a>.<\/span><\/p>\n<p><span style=\"font-weight: 400\">All the images were captured by the participant using their own smartphone through a mobile application (app) developed by us.\u00a0<\/span><strong>This dataset contains some images from the <a href=\"http:\/\/web.inf.ufpr.br\/vri\/databases\/ufpr-periocular\/\" target=\"_blank\" rel=\"noopener noreferrer\">UFPR-Periocular<\/a> dataset and has samples from all subjects wearing and not wearing eyeglasses.<\/strong><\/p>\n<p><span style=\"font-weight: 400\">We manually annotated the iris bounding boxes and used it to normalize the images regarding scale and rotation. <\/span><span style=\"font-weight: 400\">The intra-class variations are mainly caused by illumination, occlusions, distances, reflection, eyeglasses, and image quality.<\/span><\/p>\n<p><span style=\"font-weight: 400\">All the original, cropped periocular images and iris bounding box annotations are publicly available for the research community (upon request).<\/span><\/p>\n<h3>How to obtain the Dataset<\/h3>\n<p>The UFPR-Eyeglasses dataset is released <b>only<\/b>\u00a0to academic researchers from educational or research institutes for\u00a0<b>non-commercial purposes<\/b>.\u00a0<\/p>\n<p>To be able to download the dataset, please read carefully\u00a0<a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/UFPR-Eyeglasses-License-Agreement.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>this license agreement<\/strong><\/a>, fill it out and send it back to Professor David Menotti (<a href=\"mailto:menotti@inf.ufpr.br\" target=\"_blank\" rel=\"noopener noreferrer\">menotti@inf.ufpr.br<\/a>). The license agreement MUST be reviewed and signed by the individual or entity authorized to make legal commitments on behalf of the institution or corporation (e.g., Department\/Administrative Head, or similar).\u00a0<strong>We cannot accept licenses signed by students or faculty members.<\/strong><\/p>\n<h3><b>References<\/b><\/h3>\n<p><span style=\"font-weight: 400\">If you use the UFPR-Eyeglasses dataset in your research please cite our paper:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">L. A. Zanlorensi, H. Proen\u00e7a, and D. Menotti, \u201cUnconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization\u201d in 2020 IEEE International Conference on Image Processing (ICIP), October 2020, pp. 1361-1365.\u00a0<\/span><span style=\"font-weight: 400\">[<strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9191251\" target=\"_blank\" rel=\"noopener noreferrer\">IEEE Xplore<\/a><\/strong>] <\/span><span style=\"font-weight: 400\">[<strong><a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2020\/11\/zanlorensi2020unconstrained.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">PDF<\/a><\/strong>] <\/span><span style=\"font-weight: 400\">[<strong><a href=\"http:\/\/www.inf.ufpr.br\/lazjunior\/bibtex\/zanlorensi2020attnormalization.txt\" target=\"_blank\" rel=\"noopener noreferrer\">BibTeX<\/a><\/strong>]<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">You may also be interested in our larger dataset with similar conditions:<\/span><\/p>\n<ul>\n<li>L. A. Zanlorensi, R. Laroca, D. R. Lucio, L. R. Santos, A. S. Britto Jr., and D. Menotti, \u201cA New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios,\u201d\u00a0<em>Scientific Reports<\/em>, vol. 12, p. 17989, 2022. [<a href=\"https:\/\/doi.org\/10.1038\/s41598-022-22811-y\" target=\"_blank\" rel=\"noreferrer noopener\">Nature<\/a>] [<a href=\"https:\/\/arxiv.org\/abs\/2011.12427\" target=\"_blank\" rel=\"noreferrer noopener\">arXiv<\/a>]\u00a0[<a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2022\/10\/zanlorensi2022new-published.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">PDF<\/a>]\u00a0[<a href=\"https:\/\/raysonlaroca.github.io\/bibtex\/zanlorensi2022new.txt\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"BibTeX (opens in a new tab)\">BibTeX<\/a>]<\/li>\n<\/ul>\n<h3><b>Contact<\/b><\/h3>\n<p><span style=\"font-weight: 400\">Please contact Luiz A. Zanlorensi (<a href=\"mailto:lazjunior@inf.ufpr.br\" target=\"_blank\" rel=\"noopener noreferrer\">lazjunior@inf.ufpr.br<\/a>) with questions or comments.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":55,"featured_media":0,"parent":16,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1546","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/1546","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/users\/55"}],"replies":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/comments?post=1546"}],"version-history":[{"count":18,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/1546\/revisions"}],"predecessor-version":[{"id":2013,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/1546\/revisions\/2013"}],"up":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/16"}],"wp:attachment":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/media?parent=1546"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}