{"id":2491,"date":"2024-06-21T07:51:13","date_gmt":"2024-06-21T07:51:13","guid":{"rendered":"https:\/\/en.intechsi.co.id\/?p=2491"},"modified":"2024-06-21T07:51:13","modified_gmt":"2024-06-21T07:51:13","slug":"a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds","status":"publish","type":"post","link":"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/","title":{"rendered":"A New Approach to 3D Building Reconstruction from LiDAR Point Clouds"},"content":{"rendered":"<p><\/p>\n<div id=\"hs_cos_wrapper_post_body\">\n<p style=\"font-size: 14px; text-align: justify;\"><em><span style=\"color: #000000;\"><span style=\"color: #000000;\">We are developing a new method for 3D building reconstruction from LiDAR pointclouds which will soon be added to BrightEarth. Learn how that helps you map your world. <\/span><\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><strong>Key takeaways:\u00a0<\/strong><\/p>\n<ul style=\"text-align: justify;\">\n<li aria-level=\"1\">We developed a new approach to 3D building reconstruction from LiDAR<\/li>\n<li aria-level=\"1\">Learn why we developed this new approach to LiDAR data processing<\/li>\n<li aria-level=\"1\">Find out how it helps your industry<\/li>\n<\/ul>\n<div class=\"hs-embed-wrapper\" data-service=\"youtube\" data-responsive=\"true\" style=\"position: relative; overflow: hidden; width: 100%; height: auto; padding: 0px; max-width: 756px; min-width: 256px; display: block; margin: auto; text-align: justify;\">\n<div class=\"hs-embed-content-wrapper\">\n<p><div class=\"ast-oembed-container\" style=\"height: 100%;\"><iframe title=\"BrightEarth SimpliCITY pipeline : Lod2 reconstruction from Lidar pointcloud\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/MLk0qlaSe7w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/p>\n<\/div>\n<\/div>\n<p style=\"text-align: justify;\">\u00a0<\/p>\n<p style=\"text-align: justify;\">We are currently seeing significant growth in the use and application of LiDAR technology. According to one recent <span>forecast<\/span>, the LiDAR market will grow from USD $1.95 billion in 2023 to almost $14 billion in 2033.\u00a0<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 16px;\"><span style=\"color: #000000;\">As impressive as the technology is, data from airborne LiDAR scanning needs to undergo a significant amount of processing before it can be useful to users. At LuxCarta, we\u2019re continually investigating new ways to use LiDAR in <\/span>our mapping solutions<span style=\"color: #000000;\">. We recently had a paper accepted for the upcoming <\/span>IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2024<\/span><span style=\"font-size: 11px; color: #000000;\"><span style=\"font-size: 16px;\">. The paper describes a new technique we\u2019ve developed for LiDAR building footprint extraction and 3D reconstruction.<\/span> <\/span><\/p>\n<h3 style=\"text-align: justify; font-size: 20px; font-weight: normal;\"><span style=\"color: #434343;\">Very quick reminder of LiDAR technology<\/span><\/h3>\n<p style=\"text-align: justify;\">LiDAR, which stands for Light Detection and Ranging, is a technique to collect data about the surface of the Earth in 3D.\u00a0<\/p>\n<p style=\"text-align: justify;\">An airplane or drone with a LiDAR sensor flies over an area of interest. A LiDAR laser scanner then sweeps over the ground. As the light reflects back, the sensor records how long it takes the light to return. This information is used to calculate the elevation above the ground of things below, such as buildings or trees.\u00a0<\/p>\n<p style=\"text-align: justify;\">Say the LiDAR scans a building with a gabled roof. Light from the ridge of the roof would bounce back sooner than light from the eaves. Depending on the time difference, calculating the height of the roof with a good degree of accuracy is possible.<\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 11px; color: #000000;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh7-us.googleusercontent.com\/hlT6qnFbiGQYOz70FJ7317pG-mJOdiZAg9_3-1QVpBV9kgrNzrE4AKrLnzTx6xv4PyEST6INz0C2B8Ds1sXVu0zI9F_8avDwJXSQ69CBazfRg3L3YbCA1tburlGKV0viVJGboAHq5KnhZOo09YLkQtk\" width=\"602\" height=\"601\" loading=\"lazy\" style=\"margin-left: auto; margin-right: auto; display: block;\" alt=\"Lidar\"\/><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 16px;\"><span style=\"color: #000000;\">For a more detailed overview of LiDAR mapping, <\/span>read our introductory article<span style=\"color: #000000;\">.<\/span><\/span><\/p>\n<h2 style=\"text-align: justify; font-size: 24px;\"><span style=\"color: #000000;\"><span style=\"color: #000000;\">The Need for 3D Building Reconstruction from LiDAR<\/span><\/span><\/h2>\n<p style=\"text-align: justify;\">Around the world, numerous airborne LiDAR scanning projects are currently underway or have been completed. For example, France\u2019s <span>geographical services department<\/span> (Institut Geographique National) has collected LiDAR point cloud data for most of the country\u2019s territory. However, to get useful insights from these vast data sets, it must be processed. Numerous low-level processing phases are carried out &#8211; often by the LiDAR data acquirer &#8211; right up to the point cloud classification phase, in which each point is assigned a thematic nature (soil, building, vegetation, etc.).\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<p style=\"text-align: justify;\">One of the most promising uses of these large point clouds is to reconstruct 3D buildings in vectorial format, and geo-locate them on interactive 3D maps. This process of 3D building reconstruction from LiDAR has many potential uses:<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<p style=\"padding-left: 40px; text-align: justify;\">LiDAR allows us to accurately record the height and shape of buildings and other landscape features. That makes it an ideal input for digital twin solutions &#8211; for towns, cities, ports, airports and many other locations.\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<ul style=\"text-align: justify;\">\n<li aria-level=\"1\"><strong>Urban planning and modeling<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 40px; text-align: justify;\">Urban planners can use LiDAR to create accurate 3D models of towns and cities. This provides a much richer, more interactive way of planning the urban environment. They can visualize what new developments will look like, discover obstacles in the line of sight, and plan services more efficiently.\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<p style=\"padding-left: 40px; text-align: justify;\">From vehicle training simulations, to video games and entertainment, or metaverse applications, the ability to reconstruct real-world buildings in 3D can be highly valuable for a range of businesses.\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"><br \/><\/span><\/span><\/span><\/p>\n<p style=\"text-align: justify; font-size: 16px;\"><span style=\"color: #000000;\">Departing from a LiDAR scan and a building footprint (a), we first construct a 2D polygonal partition of the roof structure (b). The partition is then regularized to both enforce orthogonality, parallelism, and collinearity between edges and simplify the vertex layout (c). Finally, the partition is extruded using an optimization procedure that preserves the planarity of roof sections and the horizontality of rooftop edges.<\/span><\/p>\n<h2 style=\"text-align: justify;\"><span style=\"font-size: 24px; color: #000000;\">Problems with earlier LiDAR 3D building reconstruction<\/span><span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/h2>\n<p style=\"text-align: justify;\">For many years, researchers have been proposing methods for 3D building reconstruction from LiDAR. However, existing approaches have significant drawbacks:<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<ul style=\"text-align: justify;\">\n<li aria-level=\"1\"><strong>Lack of regularity:<\/strong> Many plane-based approaches to 3D building reconstruction from LiDAR attempt to use point cloud data to create planes (flat surfaces). However, they tend to produce irregular, complex surfaces (unlike the fairly uniform surface shape of many roofs and walls).\u00a0<\/li>\n<\/ul>\n<ul style=\"text-align: justify;\">\n<li aria-level=\"1\"><strong>Joining vertices: <\/strong>Vertices (the points where different parts of a roof connect) often fail to connect at a single point in most of today\u2019s standard methods for reconstructing buildings from LiDAR. Instead, they tend to produce \u2018clusters\u2019 of vertices. Again, this is overly complex, and unlike the way most real-world roofs fit together.\u00a0<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">These, and similar issues, mean that recreating 3D buildings from LiDAR is often time-consuming and complex. And, most significantly, the 3D buildings produced often fail to accurately represent the real-world buildings they\u2019re meant to represent. They often require a considerable amount of manual effort to \u2018tidy up\u2019 the building models.\u00a0<\/p>\n<p style=\"text-align: justify;\">We wanted to develop a more efficient, simple, and reliable way of turning LiDAR point clouds into 3D buildings.\u00a0<\/p>\n<h2 style=\"font-size: 24px; text-align: justify;\"><span style=\"color: #000000;\">SimpliCity: a New Method for 3D Building Reconstruction from LiDAR<\/span><\/h2>\n<p style=\"text-align: justify;\">In recent months, the LuxCarta research and development team has designed and tested a robust new method for reconstructing 3D buildings from LiDAR point clouds. The great strength of our process is that it offers a simpler, faster, and <em>more reliable <\/em>way to create 3D buildings.\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<p style=\"text-align: justify;\">One of the important innovations in our process is that we first construct a 2D polygonal partition of the roof structure (rather than trying to create the whole thing in 3D first). We start with a 2D building footprint extraction process to separate the structure from its surroundings. We then analyze the LiDAR point cloud to identify planes and vertices. The process then simplifies the layout of vertices and planes as far as possible, eliminating duplication. Only once we have created a 2D model for the roof, do we then extrude the building from the surrounding landscape.\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<p style=\"text-align: justify;\">We tested our technique against other methods by using LiDAR point clouds from Tallinn, Zurich, and Helsinki. Our approach consistently provided:<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<ul style=\"text-align: justify;\">\n<li aria-level=\"1\">A high degree of accuracy and similarity to the real-world structures we were attempting to reconstruct in 3D.\u00a0<\/li>\n<li aria-level=\"1\">Less dense polygons, with fewer planes and vertices than alternative solutions.\u00a0<\/li>\n<li aria-level=\"1\">Very fast individual building footprint extraction suggests that the method is suitable for scalable 3D modeling at the city, regional, or national scale.\u00a0<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=1920&amp;height=1080&amp;name=LOD2_screen.png\" width=\"1920\" height=\"1080\" loading=\"lazy\" alt=\"LOD2_screen\" style=\"height: auto; max-width: 100%; width: 1920px;\" srcset=\"https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=960&amp;height=540&amp;name=LOD2_screen.png 960w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=1920&amp;height=1080&amp;name=LOD2_screen.png 1920w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=2880&amp;height=1620&amp;name=LOD2_screen.png 2880w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=3840&amp;height=2160&amp;name=LOD2_screen.png 3840w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=4800&amp;height=2700&amp;name=LOD2_screen.png 4800w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/LOD2_screen.png?width=5760&amp;height=3240&amp;name=LOD2_screen.png 5760w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\"\/><\/p>\n<p>\u00a0<\/p>\n<p style=\"text-align: justify;\"><strong>Learn more: <\/strong><span>Read the full copy of our IEEE\/CVF conference paper<\/span><\/p>\n<h2 style=\"text-align: justify;\"><span style=\"font-size: 16px; color: #000000;\">SimpliCity is now available in BrightEarth<\/span><span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/h2>\n<p style=\"text-align: justify;\"><span>BrightEarth<\/span> is LuxCarta\u2019s cloud-based product for global mapping. It allows users to select any location on the Earth\u2019s surface and generate up-to-date, interactive maps. BrightEarth uses AI to perform complex processes that, until recently, required years of professional experience and manual work.\u00a0<span style=\"font-size: 16px;\"><span style=\"color: #000000;\"><span style=\"font-size: 16px; color: #000000;\"\/><\/span><\/span><\/p>\n<p style=\"text-align: justify;\">We have also chosen to integrate SimpliCity with our BrightEarth technology over the coming months for all our customers. This means you&#8217;ll be able to reconstruct 3D buildings from LiDAR and interact with high-fidelity 3D maps of all cities and regions where LiDAR point clouds are available.\u00a0<\/p>\n<p style=\"text-align: justify;\">Intrigued? Contact us for a demo.\u00a0<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=700&amp;height=324&amp;name=CTA%20BrightEarth%20contact%20us.png\" width=\"700\" height=\"324\" loading=\"lazy\" alt=\"BrightEarth contact us\" style=\"height: auto; max-width: 100%; width: 700px; margin-left: auto; margin-right: auto; display: block;\" srcset=\"https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=350&amp;height=162&amp;name=CTA%20BrightEarth%20contact%20us.png 350w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=700&amp;height=324&amp;name=CTA%20BrightEarth%20contact%20us.png 700w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=1050&amp;height=486&amp;name=CTA%20BrightEarth%20contact%20us.png 1050w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=1400&amp;height=648&amp;name=CTA%20BrightEarth%20contact%20us.png 1400w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=1750&amp;height=810&amp;name=CTA%20BrightEarth%20contact%20us.png 1750w, https:\/\/www.luxcarta.com\/hs-fs\/hubfs\/CTA%20BrightEarth%20contact%20us.png?width=2100&amp;height=972&amp;name=CTA%20BrightEarth%20contact%20us.png 2100w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\"\/>\n<\/div>\n<p><script>(function(d, s, id) {\n  var js, fjs = d.getElementsByTagName(s)[0];\n  if (d.getElementById(id)) return;\n  js = d.createElement(s); js.id = id;\n  js.src = \"https:\/\/connect.facebook.net\/en_GB\/sdk.js#xfbml=1&version=v3.0\";\n  fjs.parentNode.insertBefore(js, fjs);\n }(document, 'script', 'facebook-jssdk'));<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are developing a new method for 3D building reconstruction from LiDAR pointclouds which will soon be added to BrightEarth. Learn how that helps you map your world. Key takeaways:\u00a0 We developed a new approach to 3D building reconstruction from LiDAR Learn why we developed this new approach to LiDAR data processing Find out how &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/\"> <span class=\"screen-reader-text\">A New Approach to 3D Building Reconstruction from LiDAR Point Clouds<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":2492,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","footnotes":""},"categories":[1],"tags":[49,45,53,51,52,50],"class_list":["post-2491","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-approach","tag-building","tag-clouds","tag-lidar","tag-point","tag-reconstruction"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A New Approach to 3D Building Reconstruction from LiDAR Point Clouds - Intech Survey<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A New Approach to 3D Building Reconstruction from LiDAR Point Clouds\" \/>\n<meta property=\"og:description\" content=\"We are developing a new method for 3D building reconstruction from LiDAR pointclouds which will soon be added to BrightEarth. Learn how that helps you map your world. Key takeaways:\u00a0 We developed a new approach to 3D building reconstruction from LiDAR Learn why we developed this new approach to LiDAR data processing Find out how &hellip; A New Approach to 3D Building Reconstruction from LiDAR Point Clouds Read More &raquo;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/\" \/>\n<meta property=\"og:site_name\" content=\"Intech Survey\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-21T07:51:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/en.intechsi.co.id\/wp-content\/uploads\/2024\/06\/A-New-Approach-to-3D-Building-Reconstruction-from-LiDAR-Point.pngkeepProtocol-1024x576.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"576\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/en.intechsi.co.id\/#\/schema\/person\/3538a4463c885b5d048dda2179b6bf89\"},\"headline\":\"A New Approach to 3D Building Reconstruction from LiDAR Point Clouds\",\"datePublished\":\"2024-06-21T07:51:13+00:00\",\"dateModified\":\"2024-06-21T07:51:13+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/\"},\"wordCount\":1181,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/en.intechsi.co.id\/#organization\"},\"image\":{\"@id\":\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/en.intechsi.co.id\/wp-content\/uploads\/2024\/06\/A-New-Approach-to-3D-Building-Reconstruction-from-LiDAR-Point.pngkeepProtocol.png\",\"keywords\":[\"Approach\",\"building\",\"Clouds\",\"LiDAR\",\"Point\",\"Reconstruction\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/\",\"url\":\"https:\/\/en.intechsi.co.id\/index.php\/2024\/06\/21\/a-new-approach-to-3d-building-reconstruction-from-lidar-point-clouds\/\",\"name\":\"A New Approach to 3D Building Reconstruction from LiDAR Point Clouds - 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