{"id":977,"date":"2017-06-07T14:19:06","date_gmt":"2017-06-07T14:19:06","guid":{"rendered":"http:\/\/bluerockdesigns.info\/?post_type=portfolio&#038;p=977"},"modified":"2020-07-07T11:22:52","modified_gmt":"2020-07-07T16:22:52","slug":"a-generative-approach-to-forensic-shoeprint-recognition","status":"publish","type":"portfolio","link":"https:\/\/forensicstats.org\/blog\/portfolio\/a-generative-approach-to-forensic-shoeprint-recognition\/","title":{"rendered":"A Generative Approach to Forensic Shoeprint Recognition"},"content":{"rendered":"<p>This CSAFE Center Wide Meeting Webinar was presented by Adam Kortylewski from the University of Basel in Switzerland on February 10, 2017.<\/p>\n<p>Description:<br \/>\nThe forensic analysis of impression evidence, such as fingerprints or shoeprints, plays a critical role in crime investigation. A common characteristic of impression evidence is that the pattern of interest is often latently hidden in structured clutter and severely occluded. This poses a major challenge to fully automated approaches for impression analysis. This talk discusses a generative approach that integrates the segmentation and classification of latent impressions in a common optimization framework.<\/p>\n<p><iframe title=\"&quot;A Generative Approach to Forensic Shoeprint Recognition&quot;- February 10, 2017\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/mPY8G-tCS1U?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This CSAFE Center Wide Meeting Webinar was presented by Adam Kortylewski from the University of Basel in Switzerland on February 10, 2017. Description: The forensic analysis of impression evidence, such [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":884,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","portfolio_category":[28],"portfolio_tag":[57],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Generative Approach to Forensic Shoeprint Recognition - Center for Statistics and Applications in Forensic Evidence<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/forensicstats.org\/blog\/portfolio\/a-generative-approach-to-forensic-shoeprint-recognition\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/forensicstats.org\/blog\/portfolio\/a-generative-approach-to-forensic-shoeprint-recognition\/\",\"url\":\"https:\/\/forensicstats.org\/blog\/portfolio\/a-generative-approach-to-forensic-shoeprint-recognition\/\",\"name\":\"A Generative Approach to Forensic Shoeprint Recognition - 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