1.04D Scene Reconstruction using Casual Capturing Monocular Camerahttps://mscvprojects.ri.cmu.edu/f23team19rich600338<blockquote class="wp-embedded-content" data-secret="7SnIsdZKdG"><a href="https://mscvprojects.ri.cmu.edu/f23team19/abstract/">Abstract</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/f23team19/abstract/embed/#?secret=7SnIsdZKdG" width="600" height="338" title="“Abstract” — 4D Scene Reconstruction using Casual Capturing Monocular Camera" data-secret="7SnIsdZKdG" 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://mscvprojects.ri.cmu.edu/f23team19/wp-includes/js/wp-embed.min.js </script> This study introduces a novel approach to 3D reconstruction of non-rigid scenes using low-rank factorization and neural radiance. Our method addresses the challenges inherent in capturing the dynamic nature of deformable objects, providing fast and robust results. We leverage tensor decomposition techniques, specifically the Canonical Decomposition/Parallel Factors (CP) method, to efficiently process and reconstruct complex […]https://mscvprojects.ri.cmu.edu/f23team19/wp-content/uploads/sites/96/2023/12/Screenshot-2023-12-17-115059.png