A review of point cloud registration algorithms for mobile robotics

F Pomerleau, F Colas, R Siegwart - Foundations and Trends® …, 2015 - nowpublishers.com
The topic of this review is geometric registration in robotics. Registration algorithms
associate sets of data into a common coordinate system. They have been used extensively …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Cosypose: Consistent multi-view multi-object 6d pose estimation

Y Labbé, J Carpentier, M Aubry, J Sivic - Computer Vision–ECCV 2020 …, 2020 - Springer
We introduce an approach for recovering the 6D pose of multiple known objects in a scene
captured by a set of input images with unknown camera viewpoints. First, we present a …

Deep global registration

C Choy, W Dong, V Koltun - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Abstract We present Deep Global Registration, a differentiable framework for pairwise
registration of real-world 3D scans. Deep global registration is based on three modules: a 6 …

Pvnet: Pixel-wise voting network for 6dof pose estimation

S Peng, Y Liu, Q Huang, X Zhou… - Proceedings of the …, 2019 - openaccess.thecvf.com
This paper addresses the challenge of 6DoF pose estimation from a single RGB image
under severe occlusion or truncation. Many recent works have shown that a two-stage …

Implicit 3d orientation learning for 6d object detection from rgb images

M Sundermeyer, ZC Marton, M Durner… - Proceedings of the …, 2018 - openaccess.thecvf.com
We propose a real-time RGB-based pipeline for object detection and 6D pose estimation.
Our novel 3D orientation estimation is based on a variant of the Denoising Autoencoder that …

Fast and robust iterative closest point

J Zhang, Y Yao, B Deng - IEEE Transactions on Pattern …, 2021 - ieeexplore.ieee.org
The iterative closest point (ICP) algorithm and its variants are a fundamental technique for
rigid registration between two point sets, with wide applications in different areas from …

Lcdnet: Deep loop closure detection and point cloud registration for lidar slam

D Cattaneo, M Vaghi, A Valada - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Loop closure detection is an essential component of simultaneous localization and mapping
(SLAM) systems, which reduces the drift accumulated over time. Over the years, several …

Recursive cascaded networks for unsupervised medical image registration

S Zhao, Y Dong, EI Chang, Y Xu - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
We present recursive cascaded networks, a general architecture that enables learning deep
cascades, for deformable image registration. The proposed architecture is simple in design …

Megapose: 6d pose estimation of novel objects via render & compare

Y Labbé, L Manuelli, A Mousavian, S Tyree… - arXiv preprint arXiv …, 2022 - arxiv.org
We introduce MegaPose, a method to estimate the 6D pose of novel objects, that is, objects
unseen during training. At inference time, the method only assumes knowledge of (i) a …