{"version":"1.0","provider_name":"Sparse Image and dual IMU localization for AR glasses","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/f23team14","title":"OUR CONTRIBUTIONS - Sparse Image and dual IMU localization for AR glasses","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"IJ4N7CAh2A\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team14\/2023\/05\/07\/step-wise-methodology\/\">OUR CONTRIBUTIONS<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/f23team14\/2023\/05\/07\/step-wise-methodology\/embed\/#?secret=IJ4N7CAh2A\" width=\"600\" height=\"338\" title=\"&#8220;OUR CONTRIBUTIONS&#8221; &#8212; Sparse Image and dual IMU localization for AR glasses\" data-secret=\"IJ4N7CAh2A\" 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\/f23team14\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"VISUAL ODOMETRY MODULE We implement PoseNet with InceptionNet backbone with appropriate changes to the final fully-connected layers to regress the 7D pose i.e. 3D position (x, y, z) and 4D quaternion. We train this model on the dataset collected in the basement of Smith Hall using Aria Glasses. For establishing our baseline, we have also &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/f23team14\/wp-content\/uploads\/sites\/91\/2023\/05\/Picture1-1024x521.png"}