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

in Special Issue   Posted on September 1, 2015 

Information for the Special Issue

Special Issue Call for Papers:

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.


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


Papers should be submitted electronically using the Elsevier CVIU submission system ( and following the Instructions for Authors ( Please select “SI: Large-Scale 3D Modeling as the Article Type to ensure your manuscript be correctly assigned.


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, ([email protected])
Marc Pollefeys, Professor, ETH Zurich ([email protected])
Long Quan, Professor, The Hong Kong University of Science and Technology ([email protected])
Philippos Mordohai, Assistant Professor, Stevens Institute of Technology ([email protected])
Yasutaka Furukawa, Assistant Professor, Washington University in St. Louis ([email protected])

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