{"version":"1.0","provider_name":"Adaptive Data Collection For High Fidelity Gaussian Splatting","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2025team4","title":"Introduction - Adaptive Data Collection For High Fidelity Gaussian Splatting","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"x7aAZSgj5a\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2025team4\/\">Introduction<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2025team4\/embed\/#?secret=x7aAZSgj5a\" width=\"600\" height=\"338\" title=\"&#8220;Introduction&#8221; &#8212; Adaptive Data Collection For High Fidelity Gaussian Splatting\" data-secret=\"x7aAZSgj5a\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/mscvprojects.ri.cmu.edu\/2025team4\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"High-quality 3D reconstruction increasingly depends heavily on precise camera poses, especially for methods such as Gaussian Splatting and NeRF that use photometric supervision. Even minor errors in pose estimation can lead to misalignments, distortions, or unstable training.&nbsp; At the same time, 360\u00b0 cameras are becoming increasingly popular for mapping and spatial capture because they provide &hellip; Continue reading \"\""}