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A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control
Burcu Akinci, Frank Boukamp, Chris Gordon, Daniel Huber, Catherine Lyons, and Kuhn Park
Automation in Construction, Vol. 15, No. 2, February, 2006, pp. 124--138.
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Assessment of visualization software for support of construction site inspection tasks using data collected from reality capture technologies
Chris Gordon, Burcu Akinci, Frank Boukamp, and Daniel Huber
Proceedings of the 2005 International Conference on Computing in Civil Engineering, July, 2005.
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Automatic class selection and prototyping for 3-D object classification
Raghavendra Rao Donamukkala, Daniel Huber, Anuj Kapuria, and Martial Hebert
Proceedings of the 5th International Conference on 3-D Digital Imaging and Modeling (3DIM '05), June, 2005, pp. 64-71.
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Parts-based 3D object classification
Daniel Huber, Anuj Kapuria, Raghavendra Rao Donamukkala, and Martial Hebert
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 04), June, 2004.
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Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition
Y. Shan, B. Matei, H. S. Sawhney, R. Kumar, Daniel Huber, and Martial Hebert
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004), June, 2004.
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Toward Laser Pulse Waveform Analysis for Scene Interpretation
Nicolas Vandapel, Omead Amidi, and James Ryan Miller
IEEE International Conference on Robotics and Automation, May, 2004, pp. 950 - 955.
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Recognizing Objects in Range Data Using Regional Point Descriptors
Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas Bulow, and Jitendra Malik
Proceedings of the European Conference on Computer Vision (ECCV), May, 2004.
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Learning Statistical Structure for Object Detection
Henry Schneiderman
Computer Analysis of Images and Patterns (CAIP), 2003, August, 2003.
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Fully automatic registration of multiple 3D data sets
Daniel Huber and Martial Hebert
Image and Vision Computing, Vol. 21, No. 7, July, 2003, pp. 637-650.
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3D Modeling Using a Statistical Sensor Model and Stochastic Search
Daniel Huber and Martial Hebert
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2003, pp. 858-865.
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Toward Generating Labeled Maps from Color and Range Data for Robot Navigation
Caroline Pantofaru, Ranjith Unnikrishnan, and Martial Hebert
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October, 2003, pp. 1314 - 1321.
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Robust Extraction of Multiple Structures from Non-uniformly Sampled Data
Ranjith Unnikrishnan and Martial Hebert
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '03), October, 2003, pp. 1322-29.
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Combining Reality Capture Technologies for Construction Defect Detection: A Case Study
C. Gordon, F. Boukamp, Daniel Huber, Edward Latimer, K. Park, and B. Akinci
EIA9: E-Activities and Intelligent Support in Design and the Built Environment, 9th EuropIA International Conference, October, 2003, pp. 99-108.
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Object Recognition by a Cascade of Edge Probes
Owen Carmichael and Martial Hebert
British Machine Vision Conference 2002, September, 2002, pp. 103-112.
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Evaluation and Comparison of Terrain Classification Techniques from LADAR Data for Autonomous Navigation
Martial Hebert, Nicolas Vandapel, Stefan Keller, and Raghavendra Rao Donamukkala
23rd Army Science Conference, December, 2002.
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Automatic Three-dimensional Modeling from Reality
Daniel Huber
doctoral dissertation, tech. report CMU-RI-TR-02-35, Robotics Institute, Carnegie Mellon University, December, 2002
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Automatic 3D Modeling Using Range Images Obtained from Unknown Viewpoints
Daniel Huber
Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling, May, 2001, pp. 153-160.
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Fully Automatic Registration of Multiple 3D Data Sets
Daniel Huber and Martial Hebert
IEEE Computer Society Workshop on Computer Vision Beyond the Visible Spectrum(CVBVS 2001), December, 2001.
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3D map reconstruction from range data
Daniel Huber, Owen Carmichael, and Martial Hebert
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '00), April, 2000, pp. 891 - 897.
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Distributed Robotic Mapping of Extreme Environments
Scott Thayer, Bruce Digney, M Bernardine Dias, Anthony (Tony) Stentz, Bart Nabbe, and Martial Hebert
Proceedings of SPIE: Mobile Robots XV and Telemanipulator and Telepresence Technologies VII, November, 2000.
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Using spin images for efficient object recognition in cluttered 3D scenes
Andrew Johnson and Martial Hebert
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 5, May, 1999, pp. 433 - 449.
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ARTISAN: An Integrated Scene Mapping and Object Recognition System
, Owen Carmichael, Scott Thayer, James Osborn, and Martial Hebert
American Nuclear Society 8th Intl. Topical Meeting on Robotics and Remote Systems, April, 1999.
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pdf (814KB) | Copyrighted
Virtual Reality Mapping System for Chernobyl Accident Site Assessment
Theodore T. Blackmon, Scott Thayer, James Teza, , James Osborn, Martial Hebert, and et. al
Proceedings of the SPIE, February, 1999, pp. 338-345.
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Harmonic Shape Images: A 3D Free-form Surface Representation and Its Applications in Surface Matching
Dongmei Zhang
doctoral dissertation, tech. report CMU-RI-TR-99-41, Robotics Institute, Carnegie Mellon University, November, 1999
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Large Data Sets and Confusing Scenes in 3-D surface Matching and Recognition
Owen Carmichael, Daniel Huber, and Martial Hebert
Proceedings of the Second International Conference on 3-D Digital Imaging and Modeling (3DIM'99), October, 1999, pp. 358-367.
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A New Approach to 3-D Terrain Mapping
Daniel Huber and Martial Hebert
Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS '99), October, 1999, pp. 1121-1127.
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Harmonic Maps and Their Applications in Surface Matching
Dongmei Zhang and Martial Hebert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999.
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Efficient multiple model recognition in cluttered 3-D scenes
Andrew Johnson and Martial Hebert
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98), June, 1998, pp. 671 - 677.
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Toward a General 3-D Matching Engine: Multiple Models, Complex Scenes, and Efficient Data Filtering
Andrew Johnson, Owen Carmichael, Daniel Huber, and Martial Hebert
Proceedings of the 1998 Image Understanding Workshop (IUW), November, 1998, pp. 1097-1107.
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On Generating Multi-resolution Representations of Polygonal Meshes
Dongmei Zhang, Martial Hebert, Andrew Johnson, and Yanxi Liu
Proc. ICCV '98, 1998.
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Spin-Images: A Representation for 3-D Surface Matching
Andrew Johnson
doctoral dissertation, tech. report CMU-RI-TR-97-47, Robotics Institute, Carnegie Mellon University, August, 1997
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Surface Registration by Matching Oriented Points
Andrew Johnson and Martial Hebert
International Conference on Recent Advances in 3-D Digital Imaging and Modeling, May, 1997, pp. 121-128.
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Registration and Integration of Textured 3-D Data
Andrew Johnson and Sing Bing Kang
InternationalConference on Recent Advances in 3-D Digital Imaging and Modeling (3DIM '97), May, 1997, pp. 234 - 241.
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A System for Semi-automatic Modeling of Complex Environments
Andrew Johnson, Regis Hoffman, James Osborn, and Martial Hebert
International Conference on Recent Advances in 3-D Digital Imaging and Modeling, May, 1997, pp. 213-220.
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Control of Polygonal Mesh Resolution for 3-D Computer Vision
Andrew Johnson and Martial Hebert
tech. report CMU-RI-TR-96-20, Robotics Institute, Carnegie Mellon University, April, 1997
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Registration and Integration of Textured 3-D Data
Andrew Johnson and Sing Bing Kang
October, 1996.
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3-D object modeling and recognition for telerobotic manipulation
Andrew Johnson, Patrick (Chris) Leger, R. Hoffman, Martial Hebert, and James Osborn
Proc. IEEE Intelligent Robots and Systems, August, 1995, pp. 103 - 110.
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Sensor Based Interior Modeling
Martial Hebert, R. Hoffman, Andrew Johnson, and James Osborn
American Nuclear Society 6th Topical Meeting on Robotics and Remote Systems (ANS '95), February, 1995, pp. 731 - 737.
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Extracting Concise and Realistic 3-D Models from Real
Data
Sing Bing Kang, Andrew Johnson, and R. Szeliski
October, 1995.
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