Daniel F. Huber

According to our database, Daniel F. Huber authored at least 28 papers between 1999 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Online Approximate Model Representation Based on Scale-Normalized and Fronto-Parallel Appearance.

Kiho Kwak, Jun-Sik Kim, Daniel F. Huber, Takeo Kanade

Int. J. Comput. Vis., 2016

2014

Understanding how camera configuration and environmental conditions affect appearance-based localization.

Aayush Bansal, Hernán Badino, Daniel F. Huber

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Topometric localization on a road network.

Danfei Xu, Hernán Badino, Daniel F. Huber

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Online approximate model representation of unknown objects.

Kiho Kwak, Jun-Sik Kim, Daniel F. Huber, Takeo Kanade

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

CANINE: a robotic mine dog.

Brian A. Stancil, Jeff Hyams, Jordan Shelley, Kartik Babu, Hernán Badino, Aayush Bansal, Daniel F. Huber, Parag H. Batavia

Proceedings of the Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 2013

2012

Real-time topometric localization.

Hernán Badino, Daniel F. Huber, Takeo Kanade

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Visual topometric localization.

Hernán Badino, Daniel F. Huber, Takeo Kanade

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

Extrinsic calibration of a single line scanning lidar and a camera.

Kiho Kwak, Daniel F. Huber, Hernán Badino, Takeo Kanade

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Fast and accurate computation of surface normals from range images.

Hernán Badino, Daniel F. Huber, Yongwoon Park, Takeo Kanade

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Integrating LIDAR into Stereo for Fast and Improved Disparity Computation.

Hernán Badino, Daniel F. Huber, Takeo Kanade

Proceedings of the International Conference on 3D Imaging, 2011

2010

Space-carving Kernels for Accurate Rough Terrain Estimation.

Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert

Int. J. Robotics Res., 2010

Boundary detection based on supervised learning.

Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo Kanade

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Accurate rough terrain estimation with space-carving kernels.

Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert

Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

2008

Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data.

Gunhee Kim, Daniel F. Huber, Martial Hebert

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

2006

Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation.

Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi Tan, Rakesh Kumar, Daniel F. Huber, Martial Hebert

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Natural terrain classification using three-dimensional ladar data for ground robot mobility.

Jean-François Lalonde, Nicolas Vandapel, Daniel F. Huber, Martial Hebert

J. Field Robotics, 2006

Automatic Three-dimensional Underground Mine Mapping.

Daniel F. Huber, Nicolas Vandapel

Int. J. Robotics Res., 2006

2005

Automatic Class Selection and Prototyping for 3-D Object Classification.

Raghavendra Donamukkala, Daniel F. Huber, Anuj Kapuria, Martial Hebert

Proceedings of the Fifth International Conference on 3D Digital Imaging and Modeling (3DIM 2005), 2005

2004

Natural Terrain Classification using 3-D Ladar Data.

Nicolas Vandapel, Daniel F. Huber, Anuj Kapuria, Martial Hebert

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition.

Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rakesh Kumar, Daniel F. Huber, Martial Hebert

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Parts-Based 3D Object Classification.

Daniel F. Huber, Anuj Kapuria, Raghavendra Donamukkala, Martial Hebert

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Fully automatic registration of multiple 3D data sets.

Daniel F. Huber, Martial Hebert

Image Vis. Comput., 2003

Automatic 3D Underground Mine Mapping.

Daniel F. Huber, Nicolas Vandapel

Proceedings of the Field and Service Robotics, Recent Advances in Reserch and Applications, 2003

3D Modeling Using a Statistical Sensor Model and Stochastic Search.

Daniel F. Huber, Martial Hebert

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2001

Automatic 3D Modeling Using Range Images Obtained from Unknown Viewpoints.

Daniel F. Huber

Proceedings of the 3rd International Conference on 3D Digital Imaging and Modeling (3DIM 2001), 28 May, 2001

2000

3-D Map Reconstruction from Range Data.

Daniel F. Huber, Owen T. Carmichael, Martial Hebert

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1999

A new approach to 3-D terrain mapping.

Daniel F. Huber, Martial Hebert

Proceedings of the Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients, 1999

Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition.

Owen T. Carmichael, Daniel F. Huber, Martial Hebert

Proceedings of the 2nd International Conference on 3D Digital Imaging and Modeling (3DIM '99), 1999