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Fast and Accurate 3D Registration from Line Intersection Constraints.

, , , and . Int. J. Comput. Vis., 131 (8): 2044-2069 (August 2023)

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Pose Estimation for Non-Central Cameras Using Planes., and . Journal of Intelligent and Robotic Systems, 80 (3-4): 595-608 (2015)Competitions for Benchmarking: Task and Functionality Scoring Complete Performance Assessment., , , , , , , , , and 3 other author(s). IEEE Robotics Autom. Mag., 22 (3): 53-61 (2015)A Real-Time Deep Learning Pedestrian Detector for Robot Navigation., , , and . CoRR, (2016)Can generalised relative pose estimation solve sparse 3D registration?, , , , and . CoRR, (2019)A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation., , , and . CoRR, (2016)Solving the discrete Euler-Arnold equations for the generalized rigid body motion., and . J. Comput. Appl. Math., (2022)Fast and Accurate 3D Registration from Line Intersection Constraints., , , and . Int. J. Comput. Vis., 131 (8): 2044-2069 (August 2023)POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method., , and . ICRA, page 3493-3499. IEEE, (2019)Towards an omnidirectional catadioptric RGB-D camera., , and . IROS, page 2506-2513. IEEE, (2016)3DRegNet: A Deep Neural Network for 3D Point Registration., , , , , and . CVPR, page 7191-7201. Computer Vision Foundation / IEEE, (2020)