Peer-reviewed journal publications




pict

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), 2018. Early Online Access






pict

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, 2018b






pict

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), 2018. Early Online Access



Peer-reviewed conference publications

2019




pict

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. Accepted for Publication






pict

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. Accepted for Oral Presentation






pict

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






pict

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






pict

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




pict

L Hu, P Wu, Y Cao, 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






pict

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 2018a






pict

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






pict

J Zhang, V Ila, and L Kneip. Robust visual odometry in underwater environment. In OCEANS18 MTS/IEEE Kobe, Kobe, Japan, May 2018



2017




pict

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)






pict

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






pict

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






pict

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






pict

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