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Prof. Laurent Kneip / Laurent Kneip 助理教授、研究员

Tel:  (021) 20685359
Email: lkneip@@shanghaitech.edu.cn
Office: Room 1C-303E, SIST Building, No.393 Huaxia Middle Road, Pudong Area Shanghai
Major: CS
Website:

RESEARCH INTERESTS

  • Computer vision
  • 3D perception for mobile systems
  • Structure from motion
  • Visual localization and mapping
  • Algebraic geometry

BIOGRAPHY

Dr Kneip owns a Dipl.-Ing. degree from the Friedrich-Alexander University Erlangen/Nürnberg, and a PhD degree from ETH Zurich, where he worked at the Autonomous Systems Lab. He also is a former recipient of the Discovery Early Career Researcher Award (DECRA) from the Australian Research Council, hosted by the Australian National University, where he remains an honorary senior lecturer. Dr Kneip currently serves as an Assistant Professor tenure-track within the School of Information Science and Technology at ShanghaiTech. He is an expert in computer vision trying to enable autonomous systems and mobile applications to use cameras for real-time 3D perception of the environment. His main research interests include visual odometry/SLAM (Simultaneous Localization and Mapping) and structure from motion with single and multi-camera systems, as well as the efficient solution of the more fundamental, underlying algebraic geometry problems. Dr Kneip is the main author of the open-source project OpenGV.

SELECTED PUBLICATIONS

1. L Kneip, D Scaramuzza, and R Siegwart. A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, June 2011


2. L Kneip, M Chli, and R Siegwart. Robust real-time visual odometry with a single camera and an IMU. In Proceedings of the British Machine Vision Conference (BMVC), Dundee, Scotland, August 2011


3. T Kazik, L Kneip, J Nikolic, M Pollefeys, and R Siegwart. Real-time 6D stereo visual odometry with non-overlapping fields of view. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012


4. L Oth, P T Furgale, L Kneip, and R Siegwart. Rolling shutter camera calibration. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, June 2013


5. L Kneip, H Li, and Y Seo. UPnP: An optimal O(n) solution to the absolute pose problem with universal applicability. In Proceedings of the European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 2014


6. L Kneip and P Furgale. OpenGV: A unified and generalized approach to calibrated geometric vision. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, May 2014


7. G Long,  L Kneip, J M Alvarez, H Li, X Zhang, and Q Yu. Learning Image Matching by Simply Watching Video. In Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, October 2016


8. Y Dai, H Li, and L Kneip. Rolling shutter camera relative pose: Generalized epipolar geometry. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, June 2018. 


9. D Campbell, L Petersson, L Kneip, and H Li. Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. In Proceedings of the International Conference on Computer Vision (ICCV), Venice, Italy, October 2017


10. Y Wang and L Kneip. On scale initialization in non-overlapping multi-perspective visual odometry. In Proceedings of the International Conference on Computer Vision Systems, Shenzhen, July 2017. Best Student Paper Award


11. Y Zhou, L Kneip, and H Li. Semi-dense Visual Odometry for RGB-D Cameras using Approximate Nearest Neighbour Fields. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 2017