<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html><head><meta content="text/html; charset=utf-8" http-equiv="Content-Type"></head>FYI<br><br><div style='font-size:10.0pt;font-family:"Tahoma","sans-serif";padding:3.0pt 0in 0in 0in'>
<hr style='border:none;border-top:solid #E1E1E1 1.0pt'>
<b>From:</b> Bob Fisher <rbf@inf.ed.ac.uk><br>
<b>Sent:</b> September 19, 2015 8:12:30 AM EDT<br>
<b>To:</b> sgauglitz@cs.ucsb.edu<br>
<b>Subject:</b> CFP: CVIU special issue on Large-Scale 3D Modeling of Urban Scenes<br>
</div>
<br>
<pre class="k9mail"><br />CFP: Special Issue on Large-Scale 3D Modeling of Urban Indoor or Outdoor Scenes<br /> from Images and Range Scans<br /><br /><a href="http://www.journals.elsevier.com/computer-vision-and-image-understanding/call-for-papers/special-issue-on-large-scale-3d-modeling-of-urban-indoor">http://www.journals.elsevier.com/computer-vision-and-image-understanding/call-for-papers/special-issue-on-large-scale-3d-modeling-of-urban-indoor</a>/<br /><br /><br />*Scope*<br /><br />We would like to solicit papers in the area of 3D modeling of indoor or<br />outdoor urban environments from images and/or range data. 3D reconstruction<br />and modeling of the physical world has progressed very far over the last<br />few years, driven by advances in 3D imaging and sensing technology,<br />intelligent algorithms, and an increased capabilityto process very large<br />data sets. 3D acquisition technology provides us with datasets of various<br />resolutions and accuracie!
s in
outdoor or indoor environments. High<br />resolution and quality images can be now acquired by consumer grade cameras<br />and cell phones. 3D range data can be acquired from highly accurate<br />terrestrial lidar sensors, less accurate but faster sensors mounted on<br />moving vehicles, or fast and inexpensive RGBD sensors for indoor<br />environments. Many new challenges need to be addressed in modeling and<br />understanding these datasets. A major issue has to do with the need to<br />process voluminous data sets. That means that algorithms that explore the<br />big-data nature of the indoor/outdoor datasets are becoming important.<br />Issues related to big data manifest themselves in two ways: very large data<br />collections and very high resolution of each image or range scan. With this<br />issue we would like to explore new avenues in 3D modeling from images and<br />range data. Applications of these methods can be seen in historical<br />preservation, urban planni!
ng,
digital mapping, architecture, navigation,<br />virtual reality, e-commerce, digital cinematography, computer games, just<br />to name a few.<br /><br />*Topics*<br /><br />Manuscripts are solicited to address a wide range of topics in large-scale<br />3D Modeling, including but not limited to the following:<br /><br /> - Dense 3D reconstruction with architectural priors<br /> - Simultaneous localization and mapping (SLAM)<br /> - Binocular/multi-view stereo<br /> - 3D/2D registration<br /> - Integration of semantic segmentation in modeling<br /> - Novel statistical techniques for classification<br /> - Symmetry and regularity detection<br /> - Fusion of 3D and 2D image datasets<br /> - Shape synthesis and hole filling<br /> - Online methods for classification and reconstruction<br /> - Compression algorithms<br /> - Photorealistic representations for visualization<br /><br />*Submissions*<br /><br />Papers should be submitted electronically using the
Elsevier CVIU<br />submission system (<a href="http://ees.elsevier.com/cviu">http://ees.elsevier.com/cviu</a>) and following the<br />Instructions for Authors (<a href="http://www.elsevier.com/journal-authors/home">http://www.elsevier.com/journal-authors/home</a>).<br />Please select *SI: Large-Scale 3D Modeling* as the Article Type to ensure<br />your manuscript be correctly assigned.<br /><br />*Dates*<br /><br /> - Deadline for submission: October 15, 2015<br /> - First Round Decisions: January 15, 2016<br /> - Revisions Deadline: March 15, 2016<br /> - Final Round Decisions: May 15, 2016<br /> - Online Publication: July 2016<br /><br />*Guest Editors:*<br /><br /> - Ioannis Stamos (lead), Professor, City University of New York, (<br /> istamos@hunter.cuny.edu)<br /> - Marc Pollefeys, Professor, ETH Zurich (marc.pollefeys@inf.ethz.ch)<br /> - Long Quan, Professor, The Hong Kong University of Science and<br /> Technology (quan@cse.ust.hk)<br /> - Ph!
ilippos
Mordohai, Assistant Professor, Stevens Institute of<br /> Technology (Philippos.Mordohai@stevens.edu)<br /> - Yasutaka Furukawa, Assistant Professor, Washington University in St.<br /> Louis (furukawa@wustl.edu)<br /><br />Contact Ioannis Stamos (istamos@hunter.cuny.edu) if you have questions.<br /><br /><br />-- <br />The University of Edinburgh is a charitable body, registered in<br />Scotland, with registration number SC005336.<br /></pre></html>