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							<a href="https://harvest4d.org/?p=1816" class="rp-date">October 24, 2017</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1816">Proceedings SIGGRAPH Asia 2017: Visibility-Consistent Thin Surface Reconstruction Using Multi-Scale Kernels</a></h3>
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															<a href="https://harvest4d.org/?p=1816" class="rp-thumb"><img width="788" height="421" src="https://harvest4d.org/wp-content/uploads/SIGGraph-2017.jpg" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/SIGGraph-2017.jpg 788w, https://harvest4d.org/wp-content/uploads/SIGGraph-2017-300x160.jpg 300w, https://harvest4d.org/wp-content/uploads/SIGGraph-2017-768x410.jpg 768w" sizes="(max-width: 788px) 100vw, 788px" /></a>
														<p>Visibility-Consistent Thin Surface Reconstruction Using Multi-Scale Kernels Samir Aroudj, Patrick Seemann, Fabian Langguth, Stefan Guthe and Michael Goesele, TU Darmstadt, Germany &#8211; ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), Vol. 36, No. 6, pp. 187:1-187:13, 2017 One of the key properties of many surface reconstruction &hellip; </p>
<p><a href="https://harvest4d.org/?p=1816" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1666" class="rp-date">July 5, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1666">XXIII ISPRS Congress 2016 &#8211; Tutorial presentation</a></h3>
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															<a href="https://harvest4d.org/?p=1666" class="rp-thumb"><img width="860" height="563" src="https://harvest4d.org/wp-content/uploads/UBO-weinmann2013-teaser1.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/UBO-weinmann2013-teaser1.png 860w, https://harvest4d.org/wp-content/uploads/UBO-weinmann2013-teaser1-300x196.png 300w" sizes="(max-width: 860px) 100vw, 860px" /></a>
														<p>&#8220;Geometry and Reflectance Acquisition&#8221; &#8211; Michael Weinmann, University of Bonn &#8211; Tutorial 7 at XXIII ISPRS Congress, 11 July 2016, Prague, Czech Republic Acquisition and Automatic Characterization of Scenes &#8211; From Point Clouds to Features and Objects Organizers: Martin Weinmann, Michael Weinmann, Franz Rottensteiner, Boris Jutzi &hellip; </p>
<p><a href="https://harvest4d.org/?p=1666" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1347" class="rp-date">July 3, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1347">Best paper Award &#8220;Shape Modeling International 2016&#8221; (Computers &#038; Graphics Journal Vol. 58, August 2016 )</a></h3>
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															<a href="https://harvest4d.org/?p=1347" class="rp-thumb"><img width="80" height="60" src="https://harvest4d.org/wp-content/uploads/MADVolumeRemesher-ico.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" /></a>
														<p>&#8220;Multi-Material Adaptive Volume Remesher&#8221; Noura Faraj, Jean-marc Thiery and Tamy Boubekeur &#8211; Telecom ParisTech &#8211; We propose a practical iterative remeshing algorithm for multi-material tetrahedral meshes which is solely based on simple local topological operations, such as edge collapse, flip, split and vertex smoothing. To do &hellip; </p>
<p><a href="https://harvest4d.org/?p=1347" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1364" class="rp-date">June 29, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1364">Computer and Graphics Journal &#8211; Paper presented at Shape Modeling International 2016</a></h3>
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															<a href="https://harvest4d.org/?p=1364" class="rp-thumb"><img width="900" height="335" src="https://harvest4d.org/wp-content/uploads/FLC.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/FLC.png 900w, https://harvest4d.org/wp-content/uploads/FLC-300x112.png 300w, https://harvest4d.org/wp-content/uploads/FLC-768x286.png 768w" sizes="(max-width: 900px) 100vw, 900px" /></a>
														<p>&#8220;Forward Light Cuts: A Scalable Approach to Real-Time Global Illumination&#8221; &#8211; Gilles LAURENT, Cyril DELALANDRE, Grégoire De LA RIVIERE* and Tamy BOUBEKEUR, Telecom ParisTech, *Dassault Systems &#8211; We present Forward Light Cuts, a novel approach to real-time global illumination using forward rendering techniques. We focus on &hellip; </p>
<p><a href="https://harvest4d.org/?p=1364" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1352" class="rp-date">June 24, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1352">Computers &#038; Graphics, Vol. 53(A), December 2015</a></h3>
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															<a href="https://harvest4d.org/?p=1352" class="rp-thumb"><img width="859" height="172" src="https://harvest4d.org/wp-content/uploads/disc-appr-roth.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/disc-appr-roth.png 859w, https://harvest4d.org/wp-content/uploads/disc-appr-roth-300x60.png 300w, https://harvest4d.org/wp-content/uploads/disc-appr-roth-768x154.png 768w" sizes="(max-width: 859px) 100vw, 859px" /></a>
														<p>&#8220;A discriminative approach to perspective shape from shading in uncalibrated illumination&#8221;- Stephan R. Richter, Stefan Roth TU Darmstadt &#8211; Estimating surface normals from a single image alone is a challenging problem. Previous work made various simplifications and focused on special cases, such as having directional lighting, &hellip; </p>
<p><a href="https://harvest4d.org/?p=1352" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1343" class="rp-date">June 23, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1343">ACM Transactions on Graphics 35(3), May 2016 &#8211; paper presented at SIGGRAPH 2016</a></h3>
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															<a href="https://harvest4d.org/?p=1343" class="rp-thumb"><img width="900" height="154" src="https://harvest4d.org/wp-content/uploads/ASM.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/ASM.png 900w, https://harvest4d.org/wp-content/uploads/ASM-300x51.png 300w, https://harvest4d.org/wp-content/uploads/ASM-768x131.png 768w" sizes="(max-width: 900px) 100vw, 900px" /></a>
														<p>&#8220;Animated Mesh Approximation With Sphere-Meshes&#8221; Jean-Marc Thiery*, Emilie Guy+, Tamy Boubekeur+, Elmar Eisemann *TU Delft,+Télécom-ParisTech &#8211; Performance capture systems can be used to acquire high-quality animated 3D surfaces, usually in form of a dense 3D triangle mesh. Extracting a more compact, yet faithful representation is often &hellip; </p>
<p><a href="https://harvest4d.org/?p=1343" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1337" class="rp-date">June 7, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1337">EC Research &#038; innovation blog:  From mobile phone photo to virtual reality</a></h3>
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															<a href="https://harvest4d.org/?p=1337" class="rp-thumb"><img width="515" height="297" src="https://harvest4d.org/wp-content/uploads/MW1.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/MW1.png 515w, https://harvest4d.org/wp-content/uploads/MW1-300x173.png 300w" sizes="(max-width: 515px) 100vw, 515px" /></a>
														<p>Completely ordinary photos are being transformed into clean, high-resolution 3D worlds thanks to algorithms from the Harvest4D consortium. As our Harvest4D EU project is drawing to an end, it is time to reflect on what we have achieved in the past 3 years. Generally, it is &hellip; </p>
<p><a href="https://harvest4d.org/?p=1337" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1329" class="rp-date">June 6, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1329">Harvest4D Film on EURONEWS futuris channel</a></h3>
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															<a href="https://harvest4d.org/?p=1329" class="rp-thumb"><img width="523" height="286" src="https://harvest4d.org/wp-content/uploads/euronews.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/euronews.png 523w, https://harvest4d.org/wp-content/uploads/euronews-300x164.png 300w" sizes="(max-width: 523px) 100vw, 523px" /></a>
														<p> In this edition of Futuris, we look at whether our smartphones can help to create sophisticated 3D models. In a World where smartphones, sensors and cameras are everywhere, researchers dream of using their mobile phones differently. They want to turn them into active makers of 3D &hellip; </p>
<p><a href="https://harvest4d.org/?p=1329" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1323" class="rp-date">June 6, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1323">IEEE Transactions on Visualization and Computer Graphics, 22 (1), October 2015</a></h3>
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															<a href="https://harvest4d.org/?p=1323" class="rp-thumb"><img width="1180" height="590" src="https://harvest4d.org/wp-content/uploads/plots-delft-1180x590.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" /></a>
														<p>Renata Georgia Raidou, Martin Eisemann, Marcel Breeuwer, Elmar Eisemann, Anna Vilanova &#8211; TU Delft &#8211; &#8220;Orientation-enhanced parallel coordinate plots (OPCPs)&#8221; &#8211; Parallel Coordinate Plots (PCPs) is one of the most powerful techniques for the visualization of multivariate data. However, for large datasets, the representation suffers from &hellip; </p>
<p><a href="https://harvest4d.org/?p=1323" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1315" class="rp-date">May 31, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1315">Computer Graphics Forum, 2016</a></h3>
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															<a href="https://harvest4d.org/?p=1315" class="rp-thumb"><img width="580" height="305" src="https://harvest4d.org/wp-content/uploads/ohrhallinger-2016-sgp-image.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/ohrhallinger-2016-sgp-image.png 580w, https://harvest4d.org/wp-content/uploads/ohrhallinger-2016-sgp-image-300x158.png 300w" sizes="(max-width: 580px) 100vw, 580px" /></a>
														<p>&#8220;Curve Reconstruction with Many Fewer Samples&#8221; -Stefan Ohrhallinger, Scott A. Mitchell, Michael Wimmer &#8211; TU Wien,  Sandia National Laboratories &#8211; We consider the problem of sampling points from a collection of smooth curves in the plane, such that the CRUST family of proximity-based reconstruction algorithms can &hellip; </p>
<p><a href="https://harvest4d.org/?p=1315" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1308" class="rp-date">May 30, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1308">Press release: From mobile phone photo to virtual reality</a></h3>
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															<a href="https://harvest4d.org/?p=1308" class="rp-thumb"><img width="1180" height="590" src="https://harvest4d.org/wp-content/uploads/Harvest4d-Handy-1180x590.jpg" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" /></a>
														<p>Completely ordinary photos are being transformed into clean, high-resolution 3D worlds thanks to algorithms from TU Wien. It is no longer unusual for computers to display our world in three dimensions. 3D scanners can scan faces, buildings or entire landscapes, and the data can be used &hellip; </p>
<p><a href="https://harvest4d.org/?p=1308" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1304" class="rp-date">May 30, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1304">Eurographics 2016 Conference Paper</a></h3>
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															<a href="https://harvest4d.org/?p=1304" class="rp-thumb"><img width="800" height="590" src="https://harvest4d.org/wp-content/uploads/Mulitres-TU-Delft-800x590.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" /></a>
														<p>&#8220;Compressed Multiresolution Hierarchies for High-Quality Precomputed Shadows.&#8221; &#8211; Leonardo Scandolo, Pablo Bauszat, and Elmar Eisemann, TU Delft &#8211; The quality of shadow mapping is traditionally limited by texture resolution. We present a novel lossless compression scheme for high-resolution shadow maps based on precomputed multiresolution hierarchies. Traditional &hellip; </p>
<p><a href="https://harvest4d.org/?p=1304" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1291" class="rp-date">May 13, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1291">Harvest4D project presentation @ Eurographics 2016</a></h3>
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															<a href="https://harvest4d.org/?p=1291" class="rp-thumb"><img width="824" height="494" src="https://harvest4d.org/wp-content/uploads/B5.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/B5.png 824w, https://harvest4d.org/wp-content/uploads/B5-300x180.png 300w, https://harvest4d.org/wp-content/uploads/B5-768x460.png 768w" sizes="(max-width: 824px) 100vw, 824px" /></a>
														<p>Successfull Harvest4D project presentation at the European project session: Thursday May 12, 2016 – 14:00 – 14:30</p>
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							<a href="https://harvest4d.org/?p=1281" class="rp-date">May 10, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1281">Harvest4D Consortium @ EUROGRAPHICS 2016</a></h3>
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															<a href="https://harvest4d.org/?p=1281" class="rp-thumb"><img width="820" height="540" src="https://harvest4d.org/wp-content/uploads/B4.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/B4.png 820w, https://harvest4d.org/wp-content/uploads/B4-300x198.png 300w, https://harvest4d.org/wp-content/uploads/B4-768x506.png 768w" sizes="(max-width: 820px) 100vw, 820px" /></a>
														<p>The Harvest4D Project is presented at the EUROGRAPHICS 2016 conference, which takes place from 9th to 13th May 2016 in Lisboa, Portugal. Harvest4D project presentation at the European project session: Thursday May 12, 2016 – 14:00 – 14:30 FIL Conference Congress, S4 Paper presentations from Harvest4D partners: &hellip; </p>
<p><a href="https://harvest4d.org/?p=1281" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1278" class="rp-date">May 9, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1278">Eurographics 2016 Conference Paper</a></h3>
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															<a href="https://harvest4d.org/?p=1278" class="rp-thumb"><img width="900" height="483" src="https://harvest4d.org/wp-content/uploads/ChangeDetect3D.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/ChangeDetect3D.png 900w, https://harvest4d.org/wp-content/uploads/ChangeDetect3D-300x161.png 300w, https://harvest4d.org/wp-content/uploads/ChangeDetect3D-768x412.png 768w" sizes="(max-width: 900px) 100vw, 900px" /></a>
														<p>&#8220;Detection of geometric temporal changes in point clouds&#8221; &#8211; Gianpaolo Palma, Paolo Cignoni, Roberto Scopigno (CNR ISTI), Tamy Boubekeur (ParisTech) &#8211; Detecting geometric changes between two 3D captures of the same location performed at different moments is a critical operation for all systems requiring a precise &hellip; </p>
<p><a href="https://harvest4d.org/?p=1278" class="more-link"><span class="morelink-icon">Read more</span></a></p>
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							<a href="https://harvest4d.org/?p=1273" class="rp-date">April 18, 2016</a>
							<h3 class="rp-title"><a href="https://harvest4d.org/?p=1273">Eurovis 2016: Keynote Elmar Eisemann TU Delft</a></h3>
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															<a href="https://harvest4d.org/?p=1273" class="rp-thumb"><img width="390" height="155" src="https://harvest4d.org/wp-content/uploads/EuroVis-2016.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="" decoding="async" loading="lazy" srcset="https://harvest4d.org/wp-content/uploads/EuroVis-2016.png 390w, https://harvest4d.org/wp-content/uploads/EuroVis-2016-300x119.png 300w" sizes="(max-width: 390px) 100vw, 390px" /></a>
														{"id":122,"date":"2014-01-12T09:49:28","date_gmt":"2014-01-12T09:49:28","guid":{"rendered":"https:\/\/harvest4d.org\/?page_id=122"},"modified":"2014-01-12T10:07:39","modified_gmt":"2014-01-12T10:07:39","slug":"122-2","status":"publish","type":"page","link":"https:\/\/harvest4d.org\/?page_id=122","title":{"rendered":"Blog"},"content":{"rendered":"<div id='Recent_Posts' class='widgets_on_page wop_tiny1  wop_small1  wop_medium1  wop_large1  wop_wide1'>\n\t\t\t<ul><p>CAPSTONE: From Perception to Image Synthesis Today\u2019s display devices are of astonishing quality; very high resolution and framerates, deep color palettes, and 3D (or even multi-view) support. They start to approach our perceptual limits, which is a crucial component for the immersion in a virtual environment. &hellip; <\/p>\n<p><a href=\"https:\/\/harvest4d.org\/?p=1273\" class=\"more-link\"><span class=\"morelink-icon\">Read more<\/span><\/a><\/p>\n\t\t\t\t\t\t<\/div><!-- end .rp-summary -->\n\t\t\t\t\t\t<div class=\"rp-meta\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div><!-- end .rp-meta -->\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul><!-- end .dorayaki-rp -->\n\t   <\/li><\/ul><\/div><!-- widgets_on_page -->\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":9,"featured_media":0,"parent":120,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"page-templates\/full-width.php","meta":{"ngg_post_thumbnail":0},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/pages\/122"}],"collection":[{"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/harvest4d.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=122"}],"version-history":[{"count":3,"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/pages\/122\/revisions"}],"predecessor-version":[{"id":154,"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/pages\/122\/revisions\/154"}],"up":[{"embeddable":true,"href":"https:\/\/harvest4d.org\/index.php?rest_route=\/wp\/v2\/pages\/120"}],"wp:attachment":[{"href":"https:\/\/harvest4d.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}