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3D Model Completion Based on Similarity Search with Slim-Tree
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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>3D Model Completion Based on Similarity Search with Slim-Tree</title> <meta name="description" content="3D Model Completion Based on Similarity Search with Slim-Tree"> <meta name="keywords" content="3D reconstruction method, point cloud completion, shape completion, similarity search"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg 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class="card-body"><strong>Paper Count:</strong> 87358</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">3D Model Completion Based on Similarity Search with Slim-Tree</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alexis%20Aldo%20Mendoza%20Villarroel">Alexis Aldo Mendoza Villarroel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ademir%20Clemente%20Villena%20Zevallos"> Ademir Clemente Villena Zevallos</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristian%20Jose%20Lopez%20Del%20Alamo"> Cristian Jose Lopez Del Alamo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the advancement of technology it is now possible to scan entire objects and obtain their digital representation by using point clouds or polygon meshes. However, some objects may be broken or have missing parts; thus, several methods focused on this problem have been proposed based on Geometric Deep Learning, such as GCNN, ACNN, PointNet, among others. In this article an approach from a different paradigm is proposed, using metric data structures to index global descriptors in the spectral domain and allow the recovery of a set of similar models in polynomial time; to later use the Iterative Close Point algorithm and recover the parts of the incomplete model using the geometry and topology of the model with less Hausdorff distance. <iframe src="https://publications.waset.org/abstracts/121412.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20reconstruction%20method" title="3D reconstruction method">3D reconstruction method</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20cloud%20completion" title=" point cloud completion"> point cloud completion</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20completion" title=" shape completion"> shape completion</a>, <a href="https://publications.waset.org/abstracts/search?q=similarity%20search" title=" similarity search"> similarity search</a> </p> <a href="https://publications.waset.org/abstracts/121412/3d-model-completion-based-on-similarity-search-with-slim-tree" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121412.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">121</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" 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