Large-Scale 3D Modeling of Urban Indoor or Outdoor Scenes from Images and Range Scans Call for Papers

CFP: Special Issue on Large-Scale 3D Modeling of Urban Indoor or Outdoor Scenes
     from Images and Range Scans

http://www.journals.elsevier.com/computer-vision-and-image-understanding/call-for-papers/special-issue-on-large-scale-3d-modeling-of-urban-indoor/


*Scope*

We would like to solicit papers in the area of 3D modeling of indoor or
outdoor urban environments from images and/or range data. 3D reconstruction
and modeling of the physical world has progressed very far over the last
few years, driven by advances in 3D imaging and sensing technology,
intelligent algorithms, and an increased capabilityto process very large
data sets. 3D acquisition technology provides us with datasets of various
resolutions and accuracies in outdoor or indoor environments. High
resolution and quality images can be now acquired by consumer grade cameras
and cell phones. 3D range data can be acquired from highly accurate
terrestrial lidar sensors, less accurate but faster sensors mounted on
moving vehicles, or fast and inexpensive RGBD sensors for indoor
environments. Many new challenges need to be addressed in modeling and
understanding these datasets. A major issue has to do with the need to
process voluminous data sets. That means that algorithms that explore the
big-data nature of the indoor/outdoor datasets are becoming important.
Issues related to big data manifest themselves in two ways: very large data
collections and very high resolution of each image or range scan. With this
issue we would like to explore new avenues in 3D modeling from images and
range data. Applications of these methods can be seen in historical
preservation, urban planning, digital mapping, architecture, navigation,
virtual reality, e-commerce, digital cinematography, computer games,  just
to name a few.

*Topics*

Manuscripts are solicited to address a wide range of topics in large-scale
3D Modeling, including but not limited to the following:

   - Dense 3D reconstruction with architectural priors
   - Simultaneous localization and mapping (SLAM)
   - Binocular/multi-view stereo
   - 3D/2D registration
   - Integration of semantic segmentation in modeling
   - Novel statistical techniques for classification
   - Symmetry and regularity detection
   - Fusion of 3D and 2D image datasets
   - Shape synthesis and hole filling
   - Online methods for classification and reconstruction
   - Compression algorithms
   - Photorealistic representations for visualization

*Submissions*

Papers should be submitted electronically using the Elsevier CVIU
submission system (http://ees.elsevier.com/cviu) and following the
Instructions for Authors (http://www.elsevier.com/journal-authors/home).
Please select *SI: Large-Scale 3D Modeling* as the Article Type to ensure
your manuscript be correctly assigned.

*Dates*

   - Deadline for submission: October 15, 2015
   - First Round Decisions:  January 15, 2016
   - Revisions Deadline: March 15, 2016
   - Final Round Decisions: May 15, 2016
   - Online Publication: July 2016

*Guest Editors:*

   - Ioannis Stamos (lead), Professor, City University of New York, (
   istamos@hunter.cuny.edu)
   - Marc Pollefeys, Professor, ETH Zurich (marc.pollefeys@inf.ethz.ch)
   - Long Quan, Professor, The Hong Kong University of  Science and
   Technology (quan@cse.ust.hk)
   - Philippos Mordohai, Assistant Professor, Stevens Institute of
   Technology (Philippos.Mordohai@stevens.edu)
   - Yasutaka Furukawa, Assistant Professor, Washington University in St.
   Louis (furukawa@wustl.edu)

Contact Ioannis Stamos (istamos@hunter.cuny.edu) if you have questions.