{"id":246,"date":"2017-10-23T07:39:20","date_gmt":"2017-10-23T07:39:20","guid":{"rendered":"https:\/\/xiaohaionline.com\/?p=246"},"modified":"2017-11-01T06:47:34","modified_gmt":"2017-11-01T06:47:34","slug":"head-pose-estimation-from-face-landmark-cordinates-in-static-images","status":"publish","type":"post","link":"https:\/\/xiaohaionline.com\/index.php\/2017\/10\/23\/head-pose-estimation-from-face-landmark-cordinates-in-static-images\/","title":{"rendered":"Head Pose Estimation from Face Landmark Coordinates in Static Images"},"content":{"rendered":"<blockquote><p><span style=\"font-weight:bold\">Abstract: <\/span>In this article, we first presented a mean 3D face model from [1], [2], with 21 facial landmark coordinates, in a easy-to-use CSV file format. We reviewed the popular POSIT algorithm for head pose estimation. We then presented our simplified derivation of the POSIT algorithm. At the end, we provided a Python implementation of the modernPosit algorithm, and demonstrated the computation of face bounding rectangle, based on computed head pose. The novelty lies in the simplified interpretation of the POSIT algorithm.<\/p><\/blockquote>\n<p><!--more--><br \/>\n<a href=\"https:\/\/xiaohaionline.com\/wp-content\/uploads\/2017\/10\/head_pose_estimation.pdf\" class=\"pdfemb-viewer\" style=\"\" data-width=\"max\" data-height=\"max\"  data-toolbar=\"bottom\" data-toolbar-fixed=\"off\">head_pose_estimation<br\/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: In this article, we first presented a mean 3D face model from [1], [2], with 21 facial landmark coordinates, in a easy-to-use CSV file format. We reviewed the popular POSIT algorithm for head pose estimation. We then presented our simplified derivation of the POSIT algorithm. At the end, we provided a Python implementation of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,9,12,4,3],"tags":[44,43,5],"class_list":["post-246","post","type-post","status-publish","format-standard","hentry","category-dl","category-ml","category-av","category-python","category-software","tag-pnp","tag-posit","tag-python"],"_links":{"self":[{"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/posts\/246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/comments?post=246"}],"version-history":[{"count":10,"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/posts\/246\/revisions"}],"predecessor-version":[{"id":263,"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/posts\/246\/revisions\/263"}],"wp:attachment":[{"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/media?parent=246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/categories?post=246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xiaohaionline.com\/index.php\/wp-json\/wp\/v2\/tags?post=246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}