{"id":1370,"date":"2022-11-24T22:10:58","date_gmt":"2022-11-24T21:10:58","guid":{"rendered":"https:\/\/winstars.net\/en\/?p=1370"},"modified":"2023-03-16T16:06:50","modified_gmt":"2023-03-16T15:06:50","slug":"1370","status":"publish","type":"post","link":"https:\/\/winstars.net\/en\/2022\/11\/24\/1370\/","title":{"rendered":"3d landscapes and photogrammetry"},"content":{"rendered":"<div class=\"flex flex-grow flex-col gap-3\">\n<div class=\"min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap\">\n<div class=\"markdown prose w-full break-words dark:prose-invert dark\">\n<p>Introducing 3D landscapes! For now, this new feature remains experimental. The program currently only displays a single object (a <a href=\"https:\/\/en.wikipedia.org\/wiki\/Polygon_mesh\">mesh<\/a>) containing all the elements of the landscape (vegetation, buildings, etc.). These 3D objects have been obtained through <a href=\"https:\/\/en.wikipedia.org\/wiki\/Photogrammetry\">photogrammetry<\/a>, a technique that involves capturing a scene from multiple viewpoints to create a volumetric reconstruction.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><figure id=\"attachment_2541\" aria-describedby=\"caption-attachment-2541\" style=\"width: 525px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/winstars.net\/wp-content\/uploads\/2022\/11\/radio-telescope.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2541 size-large\" src=\"https:\/\/winstars.net\/wp-content\/uploads\/2022\/11\/radio-telescope-1024x576.jpg\" alt=\"\" width=\"525\" height=\"295\" \/><\/a><figcaption id=\"caption-attachment-2541\" class=\"wp-caption-text\">The <strong>solar radio telescope<\/strong> element seen in WinStars.<\/figcaption><\/figure> <figure id=\"attachment_2544\" aria-describedby=\"caption-attachment-2544\" style=\"width: 525px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/winstars.net\/wp-content\/uploads\/2022\/11\/radio-telescope-wire.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2544 size-large\" src=\"https:\/\/winstars.net\/wp-content\/uploads\/2022\/11\/radio-telescope-wire-1024x543.jpg\" alt=\"\" width=\"525\" height=\"278\" \/><\/a><figcaption id=\"caption-attachment-2544\" class=\"wp-caption-text\">The complexity of the mesh can be viewed by activating the 3D\/wireframe mode option.<\/figcaption><\/figure><\/p>\n<p>However, this solution is not optimal. The elements of the landscapes are still too approximate in places, and the files are too large. Later on, I will use the <a href=\"https:\/\/winstars.net\/en\/2020\/02\/24\/tessellation-in-winstars\/\">tessellation<\/a> technique to improve rendering quality and reduce file size.<\/p>\n<p><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/VRCaLAyxAZI\" width=\"560\" height=\"314\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introducing 3D landscapes! For now, this new feature remains experimental. The program currently only displays a single object (a mesh) containing all the elements of the landscape (vegetation, buildings, etc.). These 3D objects have been obtained through photogrammetry, a technique that involves capturing a scene from multiple viewpoints to create a volumetric reconstruction. However, this &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/winstars.net\/en\/2022\/11\/24\/1370\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;3d landscapes and photogrammetry&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1370","post","type-post","status-publish","format-standard","hentry","category-non-classe"],"_links":{"self":[{"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/posts\/1370","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/comments?post=1370"}],"version-history":[{"count":6,"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/posts\/1370\/revisions"}],"predecessor-version":[{"id":1522,"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/posts\/1370\/revisions\/1522"}],"wp:attachment":[{"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/media?parent=1370"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/categories?post=1370"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/winstars.net\/en\/wp-json\/wp\/v2\/tags?post=1370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}