Peer-reviewed journal publications




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Q. Xu, H. Kuang, L. Kneip, and S. Schwertfeger. Rethinking the Fourier-Mellin Transform: Multiple Depths in the Camera’s View. Remote Sensing, 2021






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X. Peng, L. Gao, Y. Wang, and L. Kneip. Globally-Optimal Contrast Maximisation for Event Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021. Early Online Access






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L. Hu and L. Kneip. Globally optimal point set registration by joint symmetry plane fitting. Journal of Mathematical Imaging and Vision (JMIV), 63:689–707, February 2021. Open-access






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M. C. Tsakiris, L. Peng, A. Conca, L. Kneip, Y. Shi, and H. Choi. An algebraic-geometric approach for linear regression without correspondences. IEEE Transactions on Information Theory, 66:5130–5144, 2020






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Yuchen Cao, Lan Hu, and Laurent Kneip. Representations and benchmarking of modern visual slam systems. MDPI Sensors, 20:2572, 2020






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Peihong Yu, Cen Wang, Zhirui Wang, Jingyi Yu, and Laurent Kneip. Accurate line-based relative pose estimation with camera matrices. IEEE Access, 8:88294–88307, 2020. Open access






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J Zhao, L Kneip, Y He, and J Ma. Minimal case relative pose computation using ray-point-ray features. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 42:1176–1190, 2020a






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Y Zhou, H Li, and L Kneip. Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment. IEEE Transactions on Robotics (T-RO), 35(1):1–16, 2019






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D Campbell, L Petersson, L Kneip, and H Li. Globally-optimal inlier set maximisation for camera pose and correspondence estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 42:328–342, 2020



Peer-reviewed conference publications

2021




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L. Hu, J. Wei, Z. Ouyang, and L. Kneip. Point Set Registration With Semantic Region Association Using Cascaded Expectation Maximization. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021






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K. Li, Z. Ouyang, L. Hu, D. Hao, and L. Kneip. Robust SRIF-based LiDAR-IMU Localization for Autonomous Vehicles. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021






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K. Huang, Y. Wang, and L. Kneip. B-splines for Purely Vision-based Localization and Mapping on Non-holonomic Ground Vehicles. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021a






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Y. Chen, J. Zhao, and L. Kneip. Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021






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K. Huang, Y. Wang, and L. Kneip. Dynamic Event Camera Calibration. In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2021b. Accepted for publication






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Y.-F. Zuo, L. Cui, X. Peng, Y. Xu, S. Gao, X. Wang, and L. Kneip. Accurate Depth Estimation from a Hybrid Event-RGB Stereo Setup. In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2021. Accepted for Publication






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L. Cui, C. Rong, J. Huang, A. Rosendo, and L. Kneip. Monte-Carlo Localization in Underground Parking Lots Using Parking Slot Numbers. In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2021. Accepted for Publication



2020




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J. Cai, J. Hou, Y. Lu, H. Chen, L. Kneip, and S. Schwertfeger. Improving CNN-based Planar Object Detection with Geometric Prior Knowledge. In IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2020






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X. Peng, Y. Wang, L. Gao, and L. Kneip. Globally-optimal event camera motion estimation. In Proceedings of the European Conference on Computer Vision (ECCV), Glasgow, UK, August 2020






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T. Ding, Y. Yang, Z. Zhu, D. Robinson, R. Vidal, L. Kneip, and M. Tsakiris. Robust homography estimation via dual principal component pursuit. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020






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J. Zhao, W. Xu, and L. Kneip. A certifiably globally optimal solution to generalized essential matrix estimation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020b






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Y. Wang, K. Huang, X. Peng, H. Li, and L. Kneip. Reliable frame-to-frame motion estimation for vehicle-mounted surround-view camera systems. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 2020






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Z. Ouyang, L. Hu, Y. Lu, Z. Wang, X. Peng, and L. Kneip. Online calibration of exterior orientations of a vehicle-mounted surround-view camera system. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 2020






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L. Gao, J. Su, J. Cui, X. Zeng, X. Peng, and L. Kneip. Efficient globally-optimal correspondence-less visual odometry for planar ground vehicles. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 2020



2019




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X Peng, J Cui, and L Kneip. Articulated multi-perspective cameras and their application to truck motion estimation. In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Macau, China, November 2019b






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W Xu, H Lan, M C Tsakiris, and L Kneip. Online stability improvement of gröbner basis solvers using deep learning. In Proceedings of the International Conference on 3D Vision (3DV), Quebec City, Canada, September 2019. Oral Presentation






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K Huang, Y Wang, and L Kneip. Motion estimation of non-holonomic ground vehicles from a single feature correspondence measured over n views. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June 2019






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D Campbell, L Petersson, L Kneip, H Li, and S Gould. The alignment of the spheres: Globally-optimal spherical mixture alignment for camera pose estimation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June 2019






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L Peng, X Song, M C Tsakiris, H Choi, L Kneip, and Y Shi. Algebraically-initialized expectation maximization for header-free communication. In Proceedings of the IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019a



2018




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L Hu, Y Cao, P Wu, and L Kneip. Dense object reconstruction from rgbd images with embedded deep shape representations. In Asian Conference on Computer Vision (ACCV), Workshop on RGB-D - sensing and understanding via combined colour and depth, Perth, Australia, December 2018






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






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J Briales, L Kneip, and J 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 (CVPR), Salt Lake City, June 2018. Oral presentation






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J Zhang, V Ila, and L Kneip. Robust visual odometry in underwater environment. In OCEANS’18 MTS/IEEE Kobe, Kobe, Japan, May 2018



2017




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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. Oral presentation, Marr Prize (honourable mention)






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M Ramezani, K Koshelham, and L Kneip. Omnidirectional Visual-Inertial Odometry Using Multi-State Constraint Kalman Filter. In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Vancover, Canada, September 2017






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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 2017a. Best Student Paper Award






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Z Wang and L Kneip. Towards Space Carving with a Hand-held Camera. In Proceedings of the International Conference on Computer Vision Systems, Shenzhen, July 2017b






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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