{"id":923,"date":"2017-12-08T21:22:40","date_gmt":"2017-12-08T21:22:40","guid":{"rendered":"https:\/\/ryma.cinvestav.mx\/ravg\/?post_type=project&#038;p=923"},"modified":"2018-01-28T01:24:13","modified_gmt":"2018-01-28T01:24:13","slug":"shape-analysis","status":"publish","type":"project","link":"https:\/\/ryma.cinvestav.mx\/ravg\/project\/shape-analysis\/","title":{"rendered":"Statistical models of Shape and texture for face analysis"},"content":{"rendered":"<h2><strong>Statistical models of shape and texture for facial shape analysis<\/strong><\/h2>\n<p>Here, a\u00a0previously built model is learnt\u00a0for variations of shape and texture. These models are usually constructed by maximizing covariance (finding principal components) of either shape and texture. I particularly like working with <a href=\"http:\/\/faces.cs.unibas.ch\/bfm\/?nav=1-0&amp;id=basel_face_model\">the Basel face model<\/a>, as full correspondences are\u00a0also available for all of the vertexes in cylindrical coordinates.\u00a0For many shape analysis problems (not necessarily face analysis), I believe that coupled variations provide a more suitable way for understanding the nature of data and the hidden language of the variables involved in the studied phenomena. The most recent research involves predicting full 3D shape from 2D occluding contours. This was one of the PhD contribution of Dr. Dalila S\u00e1nchez-Escobedo.<\/p>\n<p><strong>Selected\u00a0publications on this topic <\/strong>(Some of this work has been in collaboration with the <a href=\"http:\/\/york.ac.uk\/\">University of York<\/a>, United Kingdom and the <a href=\"http:\/\/cimat.mx\/en\">Center for Research in Mathematics<\/a>, Mexico.)<\/p>\n<p>Dalila S\u00e1nchez-Escobedo,\u00a0Mario Castel\u00e1n\u00a0and\u00a0William A. P. Smith.\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1077314215001885\"><strong>Statistical 3D face shape estimation from occluding contours.<\/strong><\/a>\u00a0<em>Computer Vision and Image Understanding,<\/em>\u00a0142:\u00a0111-124\u00a0(2016)<\/p>\n<p>Dalila S\u00e1nchez-Escobedo and\u00a0Mario Castel\u00e1n.\u00a0<strong><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167865512002929\">3D face shape prediction from a frontal image using cylindrical coordinates and partial least squares,<\/a><\/strong>\u00a0<em>Pattern Recognition Letters,<\/em>\u00a034(4):\u00a0389-399\u00a0(2013).<\/p>\n<p>Mario Castel\u00e1n\u00a0and\u00a0Johan Van Horebeek.\u00a0<strong><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=5069092\">Relating intensities with three-dimensional facial shape using partial least squares,<\/a>\u00a0<\/strong><em>IET Computer Vision<\/em>,\u00a03(2):60-73 (2009).<\/p>\n<p>Mario Castel\u00e1n,\u00a0William A. P. Smith\u00a0and\u00a0Edwin R. Hancock.\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=4130415\"><strong>A coupled statistical model for face shape recovery from brightness images,<\/strong><\/a>\u00a0<em>IEEE Transactions on Image Processing<\/em>,\u00a016(4):\u00a01139-1151\u00a0(2007).<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Statistical models of shape and texture for facial shape analysis Here, a\u00a0previously built model is learnt\u00a0for variations of shape and texture. These models are usually constructed by maximizing covariance (finding principal components) of either shape and texture. I particularly like working with the Basel face model, as full correspondences are\u00a0also available for all of the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":924,"comment_status":"open","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[17,19],"project_tag":[],"class_list":["post-923","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-shape-analysis","project_category-statistical-models"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Statistical models of Shape and texture for face analysis - Robotics Active Vision Group<\/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:\/\/ryma.cinvestav.mx\/ravg\/project\/shape-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Statistical models of Shape and texture for face analysis - Robotics Active Vision Group\" \/>\n<meta property=\"og:description\" content=\"Statistical models of shape and texture for facial shape analysis Here, a\u00a0previously built model is learnt\u00a0for variations of shape and texture. These models are usually constructed by maximizing covariance (finding principal components) of either shape and texture. I particularly like working with the Basel face model, as full correspondences are\u00a0also available for all of the [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ryma.cinvestav.mx\/ravg\/project\/shape-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"Robotics Active Vision Group\" \/>\n<meta property=\"article:modified_time\" content=\"2018-01-28T01:24:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ryma.cinvestav.mx\/ravg\/wp-content\/uploads\/sites\/19\/2017\/12\/CVIU1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"927\" \/>\n\t<meta property=\"og:image:height\" content=\"555\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\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:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/\",\"url\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/\",\"name\":\"Statistical models of Shape and texture for face analysis - Robotics Active Vision Group\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/wp-content\\\/uploads\\\/sites\\\/19\\\/2017\\\/12\\\/CVIU1.png\",\"datePublished\":\"2017-12-08T21:22:40+00:00\",\"dateModified\":\"2018-01-28T01:24:13+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/#primaryimage\",\"url\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/wp-content\\\/uploads\\\/sites\\\/19\\\/2017\\\/12\\\/CVIU1.png\",\"contentUrl\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/wp-content\\\/uploads\\\/sites\\\/19\\\/2017\\\/12\\\/CVIU1.png\",\"width\":927,\"height\":555},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/shape-analysis\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Projects\",\"item\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/project\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Statistical models of Shape and texture for face analysis\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/#website\",\"url\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/\",\"name\":\"Robotics Active Vision Group\",\"description\":\"Miembro de Rob\u00f3tica y Manufactura Avanzada - Cinvestav\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/ryma.cinvestav.mx\\\/ravg\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Statistical models of Shape and texture for face analysis - Robotics Active Vision Group","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/ryma.cinvestav.mx\/ravg\/project\/shape-analysis\/","og_locale":"en_US","og_type":"article","og_title":"Statistical models of Shape and texture for face analysis - Robotics Active Vision Group","og_description":"Statistical models of shape and texture for facial shape analysis Here, a\u00a0previously built model is learnt\u00a0for variations of shape and texture. 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