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TriDepth: Triangular Patch-based Deep Depth Prediction [article]

Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa
<span title="2020-03-11">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As a more efficient representation, we introduce a triangular-patch-cloud, which represents the surface of the 3D structure using a set of triangular patches, and propose a CNN framework for its 3D structure  ...  We propose a novel and efficient representation for single-view depth estimation using Convolutional Neural Networks (CNNs).  ...  We present a single-view depth prediction method using triangular-patch-cloud.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.01312v2">arXiv:1905.01312v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zxvg5shejrdoznonqb22b5jdca">fatcat:zxvg5shejrdoznonqb22b5jdca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320210234/https://arxiv.org/pdf/1905.01312v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.01312v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

TriDepth: Triangular Patch-Based Deep Depth Prediction

Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6s36fqp6q5hgpdq2scjq3sfu6a" style="color: black;">2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</a> </i> &nbsp;
As a more efficient representation, we introduce a triangular-patch-cloud, which represents the surface of the 3D structure using a set of triangular patches, and propose a CNN framework for its 3D structure  ...  We propose a novel and efficient representation for single-view depth estimation using Convolutional Neural Networks (CNNs).  ...  We present a single-view depth prediction method using triangular-patch-cloud.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccvw.2019.00466">doi:10.1109/iccvw.2019.00466</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccvw/KanekoSA19.html">dblp:conf/iccvw/KanekoSA19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wmtb4qol3jdnda2dghhxwco6oa">fatcat:wmtb4qol3jdnda2dghhxwco6oa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710063950/https://openaccess.thecvf.com/content_ICCVW_2019/papers/DL4VSLAM/Kaneko_TriDepth_Triangular_Patch-Based_Deep_Depth_Prediction_ICCVW_2019_paper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/41/d741cbec82448a362063eadada6e11e24a51cd36.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccvw.2019.00466"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>