Hosted in conjunction with the 2014 International Conference on 3D Computer Vision.

December 8, 2014

Tokyo, Japan

Camera ready deadline is October 15th.



Buildings and other infrastructure provide a limited, yet challenging, domain for 3D computer vision techniques.  Terrestrial laser scanners, RGB-D cameras, mobile scanning robots, and micro air vehicles (MAVs) are just some of the platforms that are being used to capture and model the built environment.  Such 3D models have enormous potential for aiding practitioners in a wide variety of fields, ranging from architecture, engineering, and construction (AEC) to post-disaster search and rescue.  This workshop will explore the state of the art in techniques that use 3D imaging for modeling, analyzing, and understanding the built environment.


1:00 – 1:10 Introductory Remarks

1:10 – 2:00 Keynote Address – Shape Reconstruction of Large-Scale Environments from Laser Scanning Data
Hiroshi Masuda (University of Tokyo)

Abstract: Long-range laser scanners can capture dense point-clouds from indoor and outdoor scenes. In this keynote, we discuss point processing and shape reconstruction techniques for large-scale point-clouds. We first discuss shape reconstruction of manufacturing plants using terrestrial laser scanning. 3D models of engineering plants are useful for simulating reorganization of production lines. However, it is not easy to reconstruct object shapes from huge, noisy, and incomplete point-clouds. To solve these problems, we introduce efficient surface detection and template-based shape modeling techniques. Then we discuss point processing for mobile mapping systems (MMS). A MMS can capture point-clouds of road surfaces, buildings, and roadside objects while running on the road. Since roadside objects, such as utility poles, traffic signs, streetlights, guardrails, have to be maintained periodically, their 3D models are useful for planning maintenance tasks without on-site survey. In this keynote, we introduce our point processing techniques for segmentation, mesh generation, object classification, and shape reconstruction from MMS data.


Session 1: Modeling and Mapping

2:00 – 2:20 Furnished Interiors Modeling with Laser Scanners and RFID
Antonio Adan (Universidad de Castilla Mancha) and Enrique Valero (Heriot-Watt University)

2:20 – 2:40 Interactive mapping of indoor building structures through mobile devices
Giovanni Pintore (CRS4), Marco Agus (CRS4), and Enrico Gobbetti (CRS4)

2:40 – 3:00 Automated gbXML-based Building Model Creation for Thermal Building Simulation
Chao Wang (Georgia Institute of Technology) and Yong Cho (Georgia Institute of Technology)

3:00 – 3:20 Building Modeling Through Enclosure Reasoning
Adam Stambler (Carnegie Mellon University) and Daniel Huber (Carnegie Mellon University)

3:20 – 3:30 Break


Session 2: Registration and Analysis

3:30 – 3:50 Detecting Ambiguity in Localization Problems using Depth Sensors
Pierluigi Taddei (JRC), Carlos Sanchez (JRC), Antonio L. Rodrguez (JRC), Simone Ceriani (JRC), Vıtor Sequeira (JRC)

3:50 – 4:10 A Methodology for Creating Large Scale Reference Models with Known Uncertainty for Evaluating Imaging Solution
Marc-Antoine Drouin (National Research Council Canada), Jean-Angelo Beraldin (National Research Council Canada),  Luc Cournoyer (National Research Council Canada), David MacKinnon (National Research Council Canada),  Louis Borgeat (National Research Council Canada),  Guy Godin (National Research Council Canada), and Jonathan Fournier (Defence Research and Development Canada)

4:10 – 4:30 Toward Automated Spatial Change Analysis of MEP Components using 3D Point Clouds and As-Designed BIM Models
Vamsi Kalasapudi (Arizona State University), Yelda Turkan (Iowa State University, and Pingbo Tang (Arizona State University)

4:30 – 4:50 Matching many identical features of planar urban facades using global regularity
Eduardo Almeida (Brown University) and David Cooper (Brown University)


4:50 – 5:00 Closing Remarks


Paper submission:
August 31, 2014

Paper acceptance notification:
September 30, 2014

Camera ready:
October 15, 2014

December 8, 2014



Daniel Huber – Senior Systems Scientist, Robotics Institute, Carnegie Mellon University

Burcu Akinci – Professor, Department of Civil and Environmental Engineering, Carnegie Mellon University


Steering Committee

Katsushi Ikeuchi – Professor, Institute of Industrial Science, University of Tokyo

Mani Golparver-Fard – Assistant Professor, Civil and Environmental Engineering / Computer Science, University of Illinois