• / Laurent Kneip 助理教授、研究员
    邮箱: lkneip@@shanghaitech.edu.cn
    电话:(021) 20685359
    办公室: 信息学院1C-303E室
    专业方向: 计算机科学与技术
Laurent Kneip 助理教授、研究员

电 话:(021) 20685359
邮 箱:lkneip@@shanghaitech.edu.cn
办公室:信息学院1C-303E室
个人主页:
专业方向: 计算机科学与技术
博士毕业院校: 苏黎世联邦理工学院

研究领域

  • 算机视觉

  • 移动系统的三维立体视觉系统

  • 运动恢复结构

  • 视觉定位和匹配

  • 代数几何


个人简历

Dr. Kneip曾就读于在埃尔兰根/纽伦堡,弗里德里希-亚历山大大学并获得硕士学位,于苏黎世联邦理工学院自动化系统实验室获得博士学位。他也是由澳大利亚国立大学承办的Australian Research Council的Discovery Early Career Researcher Award (DECRA) 的获得者,曾是澳大利亚国立大学的荣誉高级讲师。Dr.Kneip 现作为助理教授就职于上海科技大学信息科学与技术学院。他专攻于计算机视觉方向,研究自动化系统和移动应用利用相机进行实时感知环境。他主要感兴趣的研究领域包括可视化测程/即时定位与地图构建,用单或多相机系统进行运动和结构重建,以及相关的更基础和潜在的一些代数几何问题的有效解法。Dr.Kneip 也是开源项目OpenGV的主要作者。


代表性论文

  1. Campbell D. J., Petersson L., Kneip L. and Li H.,“Globally-Optimal Inlier Set Maximisation for Camera Poseand Correspondence Estimation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.

  2. Zhou Yi, Hongdong Li and Laurent Kneip, “Canny-VO: Visual Odometry With RGB-D Cameras Based on Geometric 3-D2-D Edge Alignment”, IEEE Transactions on Robotics, 2018.

  3. Briales J., Kneip L. and Gonzalez-Jimenez, “A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 145-154, 2018.

  4. Zhou Y., Gallego G., Rebecq H., Kneip L., Li H. and Scaramuzza, “Semi-dense 3d reconstruction with a stereo event camera”, in Proceedings of the European Conference on Computer Vision (ECCV), pp. 235-251, 2018.

  5. 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.

  6. 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)

  7. 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.

  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. 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.

  10. 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.