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[PDF] Image Pre-processing Using OpenCV Library on MORPH-II Face Database | Semantic Scholar
https://www.semanticscholar.org/paper/Image-Pre-processing-Using-OpenCV-Library-on-Face-Yip-Towner/7bbb9511e8ed43ba83ec8a094360326c40eafab4
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</div></header><div class="network-status network-status--is-online"/></div></div><div class="app-page__content"><div class="fresh-paper-detail-page paper-detail-cards" role="main" id="main-content" data-heap-id="new_ab_framework_mock_ab" data-heap-group="control"><div class="fresh-paper-detail-page__above-the-fold"><div class="centered-max-width-content"><div class="flex-container flex-row flex-column-med flex-relative-pos fresh-paper-detail-page__top-container"><div class="flex-item flex-item--width-66 flex-item__left-column"><div class="fresh-paper-detail-page__header" data-test-id="paper-detail-page-header"><ul class="paper-meta paper-detail__paper-meta-top" data-test-id="paper-meta-subhead"><li data-test-id="corpus-id">Corpus ID: 53670092</li></ul><h1 data-test-id="paper-detail-title">Image Pre-processing Using OpenCV Library on MORPH-II Face Database</h1><pre class="bibtex-citation" data-nosnippet="true">@article{Yip2018ImagePU, title={Image Pre-processing Using OpenCV Library on MORPH-II Face Database}, author={Benjamin Yip and Rachel Towner and Troy Kling and Cuixian Chen and Yishi Wang}, journal={ArXiv}, year={2018}, volume={abs/1811.06934}, url={https://api.semanticscholar.org/CorpusID:53670092} }</pre><ul class="flex-row-vcenter paper-meta"><li class="paper-meta-item"><span class="paper-meta" data-test-id="paper-meta-subhead"><span class="author-list"><span data-heap-id="heap_author_list_item" data-heap-author-id="2058224984" data-test-id="author-list"><a class="author-list__link author-list__author-name" href="/author/B.-Yip/2058224984"><span class=""><span>B. Yip</span></span></a></span><span data-heap-id="heap_author_list_item" data-heap-author-id="40419594" data-test-id="author-list"><span aria-hidden="true">, </span><a class="author-list__link author-list__author-name" href="/author/R.-Towner/40419594"><span class=""><span>R. Towner</span></span></a></span><span data-heap-id="heap_author_list_item" data-heap-author-id="2115869592" data-test-id="author-list"><span aria-hidden="true">, </span><span><button data-test-id="author-list-expand" aria-expanded="false" aria-label="Show 2 more authors" type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-default cl-button--density-default more-authors-label"><span class="cl-button__label">+2 authors</span></button> </span><a class="author-list__link author-list__author-name" href="/author/Yishi-Wang/2115869592"><span class=""><span>Yishi Wang</span></span></a></span></span></span></li><li class="paper-meta-item"><span data-test-id="year-and-venue">Published<!-- --> in <span data-test-id="venue-metadata"><a class="cl-paper-venue cl-paper-venue--paper-metadata" data-test-id="normalized-venue-link" data-heap-id="venue_serp_link_click" href="/venue?name=arXiv.org"><span class="" data-test-id="venue-metadata"><span>arXiv.org</span></span></a></span> <span data-test-id="paper-year"><span class=""><span>16 November 2018</span></span></span></span></li><li class="paper-meta-item">Computer Science</li></ul><div class="tldr-abstract-replacement text-truncator paper-detail-page__tldr-abstract"><div class="cl-dropdown cl-dropdown--arrow-pos-top-left tldr-abstract__pill"><div class="cl-dropdown__button"><button type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-default cl-button--density-default tldr-abstract-replacement__pill mod-clickable"><span class="cl-button__label">TLDR</span></button></div><div class="cl-dropdown__popover"/></div><span class=""><span>This paper outlines the steps taken toward pre-processing the 55,134 images of the MORPH-II non-commercial dataset and includes details on all calculations made, by providing the OpenCV functionality paired with each step.</span></span><button aria-label="Expand truncated text" type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-tertiary cl-button--density-default more mod-clickable more-toggle"><span class="cl-button__label">Expand</span></button></div><div class="flex-container flex-wrap flex-paper-actions__group"><div class="flex-item alternate-sources"><div class="flex-container flex-paper-actions__item-container reader__container"><a class="link-button--no-underline" aria-describedby="semantic-reader-tooltip" data-test-id="reader-button" href="/reader/7bbb9511e8ed43ba83ec8a094360326c40eafab4"/><a 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href="/paper/Image-Pre-processing-Using-OpenCV-Library-on-Face-Yip-Towner/7bbb9511e8ed43ba83ec8a094360326c40eafab4/figure/0"><figure><div class="figure-list__figure-thumb"><img class="figure-list__figure-image" srcset="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/250px/1-Figure1.1-1.png 1x,https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/500px/1-Figure1.1-1.png 2x" src="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/1-Figure1.1-1.png" alt="figure 1.1" data-test-id="figure-thumbnail-img" loading="lazy"/></div><figcaption class="figure-list__figure-caption">figure 1.1</figcaption></figure></a></li><li class="figure-list__figure" data-test-id="figure-list-item"><a class="figure-list__figure_link" tabindex="0" href="/paper/Image-Pre-processing-Using-OpenCV-Library-on-Face-Yip-Towner/7bbb9511e8ed43ba83ec8a094360326c40eafab4/figure/1"><figure><div class="figure-list__figure-thumb"><img class="figure-list__figure-image" srcset="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/250px/2-Figure2.1-1.png 1x,https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/500px/2-Figure2.1-1.png 2x" src="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/2-Figure2.1-1.png" alt="figure 2.1" data-test-id="figure-thumbnail-img" loading="lazy"/></div><figcaption class="figure-list__figure-caption">figure 2.1</figcaption></figure></a></li><li class="figure-list__figure" data-test-id="figure-list-item"><a class="figure-list__figure_link" tabindex="0" href="/paper/Image-Pre-processing-Using-OpenCV-Library-on-Face-Yip-Towner/7bbb9511e8ed43ba83ec8a094360326c40eafab4/figure/2"><figure><div class="figure-list__figure-thumb"><img class="figure-list__figure-image" srcset="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/250px/3-Figure2.2-1.png 1x,https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/500px/3-Figure2.2-1.png 2x" src="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/3-Figure2.2-1.png" alt="figure 2.2" data-test-id="figure-thumbnail-img" loading="lazy"/></div><figcaption class="figure-list__figure-caption">figure 2.2</figcaption></figure></a></li><li class="figure-list__figure" data-test-id="figure-list-item"><a class="figure-list__figure_link" tabindex="0" href="/paper/Image-Pre-processing-Using-OpenCV-Library-on-Face-Yip-Towner/7bbb9511e8ed43ba83ec8a094360326c40eafab4/figure/3"><figure><div class="figure-list__figure-thumb"><img class="figure-list__figure-image" srcset="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/250px/5-Figure2.3-1.png 1x,https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/500px/5-Figure2.3-1.png 2x" src="https://d3i71xaburhd42.cloudfront.net/7bbb9511e8ed43ba83ec8a094360326c40eafab4/5-Figure2.3-1.png" alt="figure 2.3" data-test-id="figure-thumbnail-img" loading="lazy"/></div><figcaption class="figure-list__figure-caption">figure 2.3</figcaption></figure></a></li></ul></div></div></div></div><div><div id="paper-topics" class="card card--type-experimental" tabindex="0"><div class="card-header card-header--hidden-border"><div class="card-header-title"><h2 class="card-header-title__title">Topics</h2></div><div class="cl-dropdown cl-dropdown--arrow-pos-top-left paper-topics__ai-generated"><div class="cl-dropdown__button"><button type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--has-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-secondary cl-button--density-default cl-icon-button paper-topics__ai-generated__button"><span class="cl-button__icon"><svg 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href="https://topics-beta.apps.semanticscholar.org/topic/56459231687?corpusId=53670092" target="_blank" rel="noopener " data-heap-id="paper_topic_link" data-heap-position="1" class="paper-topics__topic-link cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-default cl-button--density-medium" data-test-id="topic-56459231687">MORPH-II<span class="screen-reader-only"> (opens in a new tab)</span></a><a href="https://topics-beta.apps.semanticscholar.org/topic/41329576928?corpusId=53670092" target="_blank" rel="noopener " data-heap-id="paper_topic_link" data-heap-position="2" class="paper-topics__topic-link cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-default cl-button--density-medium" 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aria-describedby="">SE-DCGAN: a New Method of Semantic Image Restoration</h3></a><ul class="cl-paper__bulleted-row"><span class="cl-paper-authors"><span data-heap-id="citation_author" data-heap-author-id="2153307380" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Fangyan-Zhang/2153307380"><span class=""><span>Fangyan Zhang</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="2153691284" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Xin-Wang/2153691284"><span class=""><span>Xin Wang</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="3220656" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Tongfeng-Sun/3220656"><span class=""><span>Tongfeng Sun</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="29279000" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Xinzheng-Xu/29279000"><span class=""><span>Xinzheng Xu</span></span></a></span></span><div class="cl-paper__bulleted-row__item"><span class="cl-paper-fos">Computer Science</span></div><div class="cl-paper__bulleted-row__item"><a class="cl-paper-venue cl-paper-venue--paper-metadata" data-heap-id="paper-meta-venue" href="/venue?name=Cognitive%20Computation">Cognitive Computation</a></div><li class="cl-paper__bulleted-row__item"><span class="cl-paper-pubdates"><span>2021</span></span></li></ul><div class="tldr-abstract-replacement text-truncator"><div class="cl-dropdown cl-dropdown--arrow-pos-top-left tldr-abstract__pill"><div class="cl-dropdown__button"><button type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only 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data-test-id="citation-paper-title" href="/paper/Transfer-Learning-with-Deep-CNNs-for-Gender-and-Age-Smith-Chen/7d1357c13d502f00c66a91cf90a3323d93d190b0"><h3 id="paper-7d1357c13d502f00c66a91cf90a3323d93d190b0" class="cl-paper-title" tabindex="" aria-describedby="">Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation</h3></a><ul class="cl-paper__bulleted-row"><span class="cl-paper-authors"><span data-heap-id="citation_author" data-heap-author-id="2108418267" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Philip-Smith/2108418267"><span class=""><span>Philip Smith</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="2109633846" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Cuixian-Chen/2109633846"><span class=""><span>Cuixian Chen</span></span></a></span></span><div class="cl-paper__bulleted-row__item"><span class="cl-paper-fos">Computer Science</span></div><div class="cl-paper__bulleted-row__item"><span data-heap-id="paper-meta-venue" class="cl-paper-venue cl-paper-venue--paper-metadata">2018 IEEE International Conference on Big Data…</span></div><li class="cl-paper__bulleted-row__item"><span class="cl-paper-pubdates"><span>2018</span></span></li></ul><div class="tldr-abstract-replacement text-truncator"><div class="cl-dropdown cl-dropdown--arrow-pos-top-left tldr-abstract__pill"><div class="cl-dropdown__button"><button type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-default cl-button--density-default tldr-abstract-replacement__pill mod-clickable"><span class="cl-button__label">TLDR</span></button></div><div class="cl-dropdown__popover"/></div><span class=""><span>This paper shows that, with proper training techniques, good results can be obtained by retasking existing convolutional filters towards a new purpose.</span></span><button aria-label="Expand truncated text" type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-tertiary cl-button--density-default more mod-clickable more-toggle"><span class="cl-button__label">Expand</span></button></div><div class="cl-paper__bulleted-row cl-paper-controls"><div class="cl-paper-controls__stats"><ul class="cl-paper-stats-list" data-test-id="citation-stats"><li aria-label="50 Citations" class="cl-paper-stats__item"><a aria-label="Visit citations for this paper" href="/paper/7d1357c13d502f00c66a91cf90a3323d93d190b0#citing-papers" 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class="cl-paper-controls__expanded-content"/></div><div class="cl-paper-row citation-list__paper-row" data-paper-id="00cf1b6aba87e9b185bfa26286acbdb8ee78a72b"><a class="link-button--show-visited" data-heap-id="citation_title" data-heap-paper-id="00cf1b6aba87e9b185bfa26286acbdb8ee78a72b" data-heap-citation-type="citingPapers" data-heap-has-intents="true" data-test-id="citation-paper-title" href="/paper/A-Comparison-Study-on-Nonlinear-Dimension-Reduction-Kempfert-Wang/00cf1b6aba87e9b185bfa26286acbdb8ee78a72b"><h3 id="paper-00cf1b6aba87e9b185bfa26286acbdb8ee78a72b" class="cl-paper-title" tabindex="" aria-describedby="">A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification</h3></a><ul class="cl-paper__bulleted-row"><span class="cl-paper-authors"><span data-heap-id="citation_author" data-heap-author-id="51877651" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/K.-Kempfert/51877651"><span class=""><span>K. Kempfert</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="2115869592" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Yishi-Wang/2115869592"><span class=""><span>Yishi Wang</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="2109633846" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Cuixian-Chen/2109633846"><span class=""><span>Cuixian Chen</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="144320354" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Samuel-W.-K.-Wong/144320354"><span class=""><span>Samuel W. K. Wong</span></span></a></span></span><div class="cl-paper__bulleted-row__item"><span class="cl-paper-fos">Computer Science, Mathematics</span></div><div class="cl-paper__bulleted-row__item"><a class="cl-paper-venue cl-paper-venue--paper-metadata" data-heap-id="paper-meta-venue" href="/venue?name=Intell.%20Data%20Anal.">Intell. Data Anal.</a></div><li class="cl-paper__bulleted-row__item"><span class="cl-paper-pubdates"><span>2020</span></span></li></ul><div class="tldr-abstract-replacement text-truncator"><div class="cl-dropdown cl-dropdown--arrow-pos-top-left tldr-abstract__pill"><div class="cl-dropdown__button"><button type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-default cl-button--density-default tldr-abstract-replacement__pill mod-clickable"><span class="cl-button__label">TLDR</span></button></div><div class="cl-dropdown__popover"/></div><span class=""><span>The computational approach can be applied to practical gender classification systems and generalized to other face analysis tasks, such as race classification and age prediction, and faster processing speeds and similar recognition rates on MORPH-II.</span></span><button aria-label="Expand truncated text" type="submit" class="cl-button cl-button--no-arrow-divider cl-button--not-icon-only cl-button--no-icon cl-button--has-label cl-button--font-size- cl-button--icon-pos-left cl-button--shape-rectangle cl-button--size-default cl-button--type-tertiary cl-button--density-default more mod-clickable more-toggle"><span class="cl-button__label">Expand</span></button></div><div class="cl-paper__bulleted-row cl-paper-controls"><div class="cl-paper-controls__stats"><ul class="cl-paper-stats-list" data-test-id="citation-stats"><li aria-label="8 Citations" class="cl-paper-stats__item"><a aria-label="Visit citations for this paper" href="/paper/00cf1b6aba87e9b185bfa26286acbdb8ee78a72b#citing-papers" class="cl-paper-stats__citation-pdp-link"><div class="cl-paper-stat cl-paper-stat__with-border"><svg aria-hidden="true" width="12" height="12" class="cl-paper-stats__icon icon-svg icon-cited-by" alt="" data-test-id="icon-cited-by"><use 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data-heap-author-id="1710348" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/K.-Ricanek/1710348"><span class=""><span>K. Ricanek</span></span></a></span><span data-heap-id="citation_author" data-heap-author-id="3130900" data-test-id="author-list"><a class="cl-paper-authors__author-box notranslate cl-paper-authors__author-box__with-background" href="/author/Tamirat-Tesafaye/3130900"><span class=""><span>Tamirat Tesafaye</span></span></a></span></span><div class="cl-paper__bulleted-row__item"><span class="cl-paper-fos">Computer Science, Medicine</span></div><div class="cl-paper__bulleted-row__item"><a class="cl-paper-venue cl-paper-venue--paper-metadata" data-heap-id="paper-meta-venue" href="/venue?name=7th%20International%20Conference%20on%20Automatic%20Face%20and%20Gesture%20Recognition%20%28FGR06%29">7th International Conference on Automatic Face…</a></div><li class="cl-paper__bulleted-row__item"><span class="cl-paper-pubdates"><span>2006</span></span></li></ul><div class="tldr-abstract-replacement text-truncator"><div class="cl-dropdown cl-dropdown--arrow-pos-top-left tldr-abstract__pill"><div 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