1.0CRS4https://www.crs4.it/en/Gavino Paddeuhttps://www.crs4.it/en/author/gavino/rich600338<blockquote class="wp-embedded-content" data-secret="Hr1zmkDCgk"><a href="https://www.crs4.it/en/projects/ain2/">AIN2</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.crs4.it/en/projects/ain2/embed/#?secret=Hr1zmkDCgk" width="600" height="338" title="“AIN2” — CRS4" data-secret="Hr1zmkDCgk" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://www.crs4.it/wp-includes/js/wp-embed.min.js </script> https://www.crs4.it/wp-content/uploads/AIN2.jpg8060While the area of structured indoor reconstruction has witnessed substantial progress in the past decade, current solutions are mostly limited to relatively simple environments with constrained shapes and provide very limited opportunities for seamlessly going from captured data to a dynamically modifiable representation. In AIN2, we aim to substantially advance this research field by proposing […]