• / 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
Email :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


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. (2018). Globally-Optimal Inlier Set Maximisation for Camera Poseand Correspondence Estimation. IEEE transactions on pattern analysisand machine intelligence.

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

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

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

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