Dr. Jean-Philippe Tardif
National Robotics Engineering Center
Carnegie Mellon University
Ten 40th street, Pittsburgh, PA, USA, 15201
tardifj@rec[dot]ri[dot]cmu[dot]edu
CMU
NREC


Jean-Philippe Tardif Invited research scientist


Jean-Philippe Tardif is currently an invited research scientist at the National Robotics Engineering Center of Carnegie Mellon University. Previously, he was a post-doctoral fellow at Carnegie Mellon University, McGill University and at the University of Pennsylvania. He received his Ph.D. in computer vision from Université de Montréal in 2007. Over the years, he has also collaborated with researchers from INRIA Rhône-Alpes and CNRS Clermont-Ferrand in France. His areas of research are structure from motion, visual odometry, omnidirectional camera calibration and self-calibration, structured light reconstruction and place recognition.




Publications

  • Tardif J.-P., George M., Laverne M., Kelly A., Stentz A., A New Approach to Vision-Aided Inertial Navigation, International Conference on Intelligent Robots and Systems (IROS), 2010.
  • Tardif J.-P., George M., Laverne M., Kelly A., Stentz A., Vision-aided Inertial Navigation for Power Line Inspection, International  Conference on Applied Robotics for the Power industry (CARPI), 2010.
  • Tardif J.-P., Non-iterative Approach for Fast and Accurate Vanishing Point Detection, 12th IEEE International Conference on Computer Vision, Kyoto, Japan, September 27 - October 4, 2009. Pdf
  • Kumar A., Tardif J-P, Anati R., Daniilidis K., Experiments on Visual Loop Closing Using Vocabulary Trees, Workshop on Visual Localization for Mobile Platforms, CVPR 2008. Pdf
  • Tardif J-P, Pavlidis Y., Daniilidis K., Monocular Visual Odometry in Urban Environments Using an Omnidirectional Camera. International Conference on Intelligent Robots and Systems (IROS), 2008. Pdf
  • Tardif J.-P., Sturm P., Trudeau M., Roy S., "Calibration of Cameras with Radially Symmetric Distortion", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Pdf
  • Tardif J.-P., Sturm P. Roy S., Plane-based Self-calibration of Radial Distortion, 11th IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, October 14-20, 2007. Pdf
  • Tardif J.-P., Bartoli A., Trudeau M., Guilbert N., Roy S., Algorithms for Batch Matrix Factorization with Application to Structure-from-Motion, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2007. Pdf.
  • Tardif J.-P., Sturm P., Roy S., Self-calibration of a general radially symmetric distortion model, 9th European Conference on Computer Vision (ECCV'2006). Austria, May 2006. Pdf
  • Tardif J.-P., Sturm P., "Calibration of Cameras with Radially Symmetric Distortion", the Sixth Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, (OMNIVIS'2005, in conjunction with ICCV'2005), China, October 2005. Pdf
  • Tardif J.-P., Roy S., "A MRF formulation for coded structured light", The 5th International Conference on 3-D Digital Imaging and Modeling (3DIM'2005), 2005. Pdf
  • Tardif J.-P., Roy S., Trudeau M., "Multi-projectors for arbitrary surfaces without explicit calibration nor reconstruction", International Conference on 3-D Digital Imaging and Modeling (3DIM'2003), pp. 217-224, 2003. Pdf
  • Tardif J.-P., Roy S., Meunier J., "Projector-Based Augmented Reality in Surgery without Calibration", IEEE Engineering in Medicine and Biology Society Conference (EMBC'2003), pp. 548-551, 2003. Pdf


Code

These Softwares come "as is", with no warranties. None whatsoever. This means no express, implied or statutory warranty, including without limitation, warranties of merchantability or fitness for a particular purpose or any warranty of title or non-infringement. Also, you must pass this disclaimer on whenever you distribute the Software or derivative works.

If using the software, please acknowledge the author of the work by referencing related papers.

Videos

Here is a demonstration of an autonomous vehicle relying on visual odometry for positioning:



Teaching


In 2007, I was teaching the Computer Vision course (IFT6145) at Université de Montréal with Prof. Sébstien Roy. Here are some of the slides (in french):

Introduction, Projective geometry, Image formation, Cameras, Parameter estimation
Camera calibration/epipolar geometry