An Efficient and Stable Registration Framework for Large Point Clouds at Two Different Moments by Guangxin Zhao, Jinlong Li, Jingyi Xi, Lin Luo

“…In this paper, we propose a registration framework for large-scale point clouds at different moments, which firstly downsamples large-scale point clouds using a random sampling method, then performs a random expansion strategy to make up for the loss of information caused by the random sampling, then completes the first registration by a deep learning network based on the extraction of keypoints and feature descriptors in combination with RANSAC, and finally completes the registration using the point-to-point ICP method. …”
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Fully Automatic Geometric Registration Framework of UAV Imagery Based on Online Map Services and POS by Pengfei Li, Yu Zhang, Yepei Chen, Ting Bai, Kaimin Sun, Haigang Sui, Yang Wu

“…To further improve the time efficiency of UAV remote sensing, this study proposes a fully automatic geometric registration framework. The workflow features the following aspects: (1) automatic reference image acquisition by using online map services; (2) automatic ground range and resolution estimation using positional and orientation system (POS) data; (3) automatic orientation alignment using POS data. …”
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Robust Pose Estimation for Noncooperative Spacecraft Under Rapid Inter-Frame Motion: A Two-Stage Point Cloud Registration Approach by Mingyuan Zhao, Long Xu

“…This paper addresses the challenge of robust pose estimation for spacecraft under rapid inter-frame motion, proposing a two-stage point cloud registration framework. The first stage computes coarse pose estimation by leveraging Fast Point Feature Histogram (FPFH) descriptors with random sample and consensus (RANSAC) for correspondence matching, effectively handling significant positional displacements. …”
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Bi-Directional Point Flow Estimation with Multi-Scale Attention for Deformable Lung CT Registration by Nahyuk Lee, Taemin Lee

“…In this work, we propose a novel point-based deformable registration framework tailored to the unique challenges of lung CT alignment. …”
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A Registration Method for Historical Maps Based on Self-Supervised Feature Matching by Zikang Qin, Yumin Feng, Gang Wu, Qing Dong, Tianxin Han

“…We then developed an enhanced SuperGlue-based registration framework, optimized for the specific obstacles posed by historical maps, such as low texture and large image size. …”
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Smart touchless palm sensing via palm adjustment and dynamic registration by Dandan Fan, Xu Liang, Chunsheng Zhang, Junan Chen, Baoyuan Wu, Wei Jia, David Zhang

“…By embedding it into a palm registration framework based on video sequences, we improve the system’s ability to adapt to varying conditions automatically. …”
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Collision Constraints and Diffeomorphisms: Dealing With Physics in Deformable Image Registration by Thomas Alscher, Jens Petersen, Francois Lauze, Kenny Erleben, Sune Darkner

“…Discontinuous motion is facilitated through a piecewise registration framework, in which inter-domain boundary interactions are constrained via collision detection, and intra-domain deformation smoothness is governed by the Large Deformation Diffeomorphic Metric Mapping (LDDMM) model. …”
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Groupwise registration of infant brain diffusion tensor images using intermediate subgroup templates. by Kuaikuai Duan, Longchuan Li, Vince D Calhoun, Sarah Shultz

“…By leveraging the consistency of features in tensor maps across early infancy and reducing deformation through intermediate subgroup tensor templates, our IST-G tensor registration framework facilitates more accurate alignment of longitudinal infant brain tensor images.…”
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A Point Cloud Registration Method for Steel Tubular Arch Rib Segments of CFST Arch Bridges Based on Local Geometric Constraints by Yiquan Lv, Chuanli Kang, Junli Liu, Hongjian Zhou

“…This study introduces a cascaded registration framework comprising: (1) a coarse registration method utilizing local geometric features of segmented tubular joints, where equidistant cross-section partitioning extracts inherent circularity constraints from cylindrical segments, and (2) a refined registration stage employing the Coherent Point Drift (CPD) algorithm with k-d tree acceleration for computational efficiency. …”
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SAR Image Registration Based on SAR-SIFT and Template Matching by Shichong Liu, Xiaobo Deng, Chun Liu, Yongchao Cheng

“…These results validate the accuracy and effectiveness of the proposed registration framework.…”
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An Arthroscopic Robotic System for Meniscoplasty with Autonomous Operation Ability by Zijun Zhang, Yijun Zhao, Baoliang Zhao, Gang Yu, Peng Zhang, Qiong Wang, Xiaojun Yang

“…To address the issue of limited visual fields during the operation, this study used the preoperative and intraoperative meniscus point cloud images for surgical navigation and proposed a novel cross-modal point cloud registration framework. After the registration was completed, the robotic system automatically generated a resection path that could maintain the crescent shape of the remaining meniscus based on the improved Rapidly Exploring Random Tree (RRT) path-planning algorithm in this study. …”
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Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration by Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik

“…This article presents TPS-PSO, a hybrid deformable image registration framework integrating deep learning, non-linear transformation modeling, and global optimization for accurate inter-subject, intra-modality 3D brain MRI alignment. …”
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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

“…The system’s two-stage registration framework, combining SIFT-ICP algorithms, achieves accurate alignment between preoperative models and arthroscopic views. …”
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EKNet: Graph Structure Feature Extraction and Registration for Collaborative 3D Reconstruction in Architectural Scenes by Changyu Qian, Hanqiang Deng, Xiangrong Ni, Dong Wang, Bangqi Wei, Hao Chen, Jian Huang

“…To address these challenges, this paper proposes an efficient deep graph matching registration framework that effectively integrates interpretable feature extraction with network training. …”
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Automatic Pairwise Coarse Registration of Terrestrial Point Clouds Using 3D Line Features by Yongjian Fu, Zongchun Li, Feng Xiong, Hua He, Yong Deng, Wenqi Wang

“…The rotation and translation errors of aligning the nine experimental pairwise point clouds were all less than 0.50° and 0.55m, respectively. This registration framework was also shown to be superior to state-of-the-art methods in terms of registration accuracy.…”
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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…In this study, we proposed a marker free automatic registration framework for multi-platform forest point clouds with terrain features. …”
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Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI by Valentin Comte, Mireia Alenya, Andrea Urru, Judith Recober, Ayako Nakaki, Francesca Crovetto, Oscar Camara, Eduard Gratacós, Elisenda Eixarch, Fatima Crispi, Gemma Piella, Mario Ceresa, Miguel A. González Ballester

“…To address this challenge, we introduce a deep learning registration framework comprising multiple cascaded convolutional networks. …”
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A Dual-Branch Network of Strip Convolution and Swin Transformer for Multimodal Remote Sensing Image Registration by Kunpeng Mu, Wenqing Wang, Han Liu, Lili Liang, Shuang Zhang

“…However, current advanced registration frameworks are unable to accurately register large-scale rigid distortions, such as rotation or scaling, that occur in multi-source remote sensing images. …”
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