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Automatic 3D point cloud registration algorithm based on triangle similarity ratio consistency

IET IMAGE PROCESSING 2020年第14期14卷 3314-3323页

作者： Zou, Xuyan He, Hanwu Wu, Yueming Chen, Youbin Xu, Mingxi Guangdong Univ Technol Guangzhou Guangdong Peoples R China Yibin Univ Yibin Sichuan Peoples R China

Three-dimensional (3D) point cloud registration is a fundamental key issue in 3D reconstruction, 3D object recognition and augmented reality. In this study, the authors propose a novel local feature descriptor called local angle statistics histogram (LASH) for efficient 3D point cloud registration. LASH forms a description of local shape geometries by encoding their properties on angles between the normal vector of the point and the vector formed by the point and other points in its local neighbourhood. In addition, they propose a 3D point cloud registration algorithm based on LASH. The registration algorithm firstly detects triangle matching points with consistent similarity ratios, and then aggregates each pair of triangular matching points into a set of matching points. They can use these matching sets to calculate multiple transformations between two point clouds. Finally, they use the error function to identify the best transformation and to achieve coarse alignment of the two point clouds. Experiments and comparisons with other global algorithms demonstrate that the proposed approach can be applied to register point clouds with considerable or limited overlaps and is robust to noise.

关键词： image reconstruction augmented reality object recognition feature extraction image representation image matching image registration point clouds triangle similarity ratio consistency three-dimensional point cloud registration 3D object recognition novel local feature descriptor local angle statistics histogram LASH local shape geometries local neighbourhood registration algorithm triangle matching points consistent similarity ratios triangular matching points

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Two points registration algorithm for terrestrial laser scanner point clouds

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SURVEY REVIEW 2019年第366期51卷 238-243页

作者： Abdelhafiz, Ahmed Hassan, Taher Assiut Univ Fac Engn Civil Engn Dept Asyut Egypt

Despite all modern techniques in registering terrestrial laser scanner point clouds, registration of multiple scan positions is still a crucial issue, especially in large projects. Processes like the detection of corresponding points in scans and placing targets in fields consume a lot of effort, time and money. Three points are the minimum number of common points required for registration. In this work, a new two points registration (TPR) algorithm is developed to register terrestrial laser scanner point clouds using only two common points automatically. Decreasing the number of the required common points to two points reduces one-third of the registration work in both field and laboratory. An accuracy assessment study is then performed to compare the registration accuracy of the developed algorithm and the traditional algorithm employing both the time of flight laser scanner and the phase shift one. The results show that the accuracy of the two algorithms is approximately equal within the considered point clouds accuracy in both cases.

关键词： Laser scanning registration algorithm Point clouds

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RegisTree: a registration algorithm to enhance forest inventory plot georeferencing

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ANNALS OF FOREST SCIENCE 2019年第2期76卷 30-30页

作者： Fadili, Maryem Renaud, Jean-Pierre Bock, Jerome Vega, Cedric Inst Natl Informat Geog & Forestiere IGN Lab Inventaire Forestier 14 Rue Girardet F-54000 Nancy France ONF Dept RDI 8 Allee Longchamp F-54600 Villers Les Nancy France ONF Dept RDI 42 Quai Charles Roissart F-73026 Chambery France

Key messageThe accuracy of remote sensing-based models of forest attributes could be improved by controlling the spatial registration of field and remote sensing data. We have demonstrated the potential of an algorithm matching plot-level field tree positions with lidar canopy height models and derived local maxima to achieve a precise registration *** accuracy of remote sensing-based estimates of forest parameters depends on the quality of the spatial registration of the training *** study introduces an algorithm called RegisTree to correct field plot positions by matching a spatialized field tree height map with lidar canopy height models (CHMs).MethodsRegisTree is based on a point (field positions) to surface (CHM) adjustment approach modified to ensure that at least one field tree position corresponds to CHM local *** has been validated with respect to positioning errors and the performance of lidar-derived estimation of plot volume. Overall, RegisTree enabled to register field plots surveyed in a range of forest conditions with a precision of 1.5m (1.23m), but a higher performance for conifer plots, and a limited efficiency in homogeneous stands, having similar heights. Improved plot positions were found to have a limited impact on volume predictions under the range of tested conditions, with a gain up to 1.3%.Conclusion RegisTree could be used to improve the forest plot position from field surveys collected with low-grade GPS and to contribute to the development of processing chains of 3D remote sensing-based models of forest parameters.

关键词： Forest inventory Lidar Plot positioning registration algorithm Forest parameter estimation

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Tetrahedral Framework registration algorithm for the robot-assisted surgical navigation system

Tetrahedral Framework registration algorithm for the robot-a...

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IEEE International Conference on Information and Automation (ICIA)

作者： Zhu, Jiebao Sun, Yu Gao, Peng Ma, Kailin Hu, Ying Cao, Yong Chinese Acad Sci Harbin Inst Technol Guangdong Prov Key Lab Robot & Intelligent Syst Shenzhen Inst Adv TechnolShenzhen Grad Sch Beijing Peoples R China Harbin Inst Technol Shenzhen Grad Sch Dept Mech Engn & Automat Harbin Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China Chinese Acad Sci Key Lab Human Machine Intelligence Synergy Syst Beijing Peoples R China Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China Xi An Jiao Tong Univ Xian Peoples R China

ISBN: (纸本)9781509041022

The accuracy of registration is one of the key issues in surgical navigation, which directly affects the result of operation. In this paper, we proposed a new registration algorithm, Tetrahedral Framework (TF), to improve precision and computing speed and conducted a calibration experiment by using the wax model with markers. The image data are obtained by Micro-CT scanning and loaded in VTK to gain the coordinate of the markers, while the tracking data in real space are collected from NDI equipment. The proposed TF algorithm can be described as follow. Firstly, the two point-sets are respectively divided into a tetrahedral framework part and a few of particles;secondly, the scale coefficient is calculated for mapping the image data into the real space;finally, the particle swarm optimization (PSO) is used to adjust the positions and attitude of image framework to acquire a maximal projection on the tracking framework planes. In order to improve the precision of registration, we combined the particles information in an optimization process. Besides, the experimental results show that the algorithm can satisfy the requirement in surgical navigation.

关键词： surgical robot registration algorithm image navigation tetrahedral framework error analysis

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Deformable multi-modal image registration for the correlation between optical measurements and histology images

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JOURNAL OF BIOMEDICAL OPTICS 2024年第6期29卷 066007页

作者： Feenstra, Lianne Lambregts, Maud Ruers, Theo J. M. Dashtbozorg, Behdad Netherlands Canc Inst Dept Surg Oncol Image Guided Surg Amsterdam Netherlands Univ Twente Fac Sci & Technol Dept Nanobiophys Enschede Netherlands

Significance: The accurate correlation between optical measurements and pathology relies on precise image registration, often hindered by deformations in histology images. We investigate an automated multi-modal image registration method using deep learning to align breast specimen images with corresponding histology images. Aim: We aim to explore the effectiveness of an automated image registration technique based on deep learning principles for aligning breast specimen images with histology images acquired through different modalities, addressing challenges posed by intensity variations and structural differences. Approach: Unsupervised and supervised learning approaches, employing the VoxelMorph model, were examined using a dataset featuring manually registered images as ground truth. Results: Evaluation metrics, including Dice scores and mutual information, demonstrate that the unsupervised model exceeds the supervised (and manual) approaches significantly, achieving superior image alignment. The findings highlight the efficacy of automated registration in enhancing the validation of optical technologies by reducing human errors associated with manual registration processes. Conclusions: This automated registration technique offers promising potential to enhance the validation of optical technologies by minimizing human-induced errors and inconsistencies associated with manual image registration processes, thereby improving the accuracy of correlating optical measurements with pathology labels.

关键词： multi-modal image registration histology deformations validation registration algorithm optical techniques

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Image retargeting quality assessment: A survey

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年第2期44卷 1921-1942页

作者： Guo, Yingchun Wang, Dan Yan, Gang Zhu, Ye Hebei Univ Technol Sch Artificial Intelligence Tianjin Peoples R China

With the increasing variety of display devices, image retargeting has become an indispensable technology for adjusting the aspect ratio of images to adapt to different display terminals. Since the retargeting operation would cause geometric distortion and content loss of the image, the image retargeting quality assessment (IRQA) is necessary to guide the retargeting algorithm's optimization, selection, and design. Our paper mainly works for systematically reviewing the state-of-the-art technologies in IRQA. And then, this paper further discusses image registration algorithms for matching the original image and the retargeted image. Next, we investigate the feature measurement methods for image retargeting quality evaluation. To facilitate the quantitative assessment of the IRQA methods, this paper gives a list of publicly open datasets and the performance of the mainstream methods. Finally, some promising research directions towards IRQA are pointed out. From this survey, engineers from the industry may find skills to improve their image retargeting systems, and researchers from academia may find ideas to conduct some innovative work.

关键词： registration algorithm image retargeting quality assessment

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Mode shape-aided cable force determination using digital image correlation

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STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL 2021年第5期20卷 2430-2445页

作者： Yan, Banfu Li, Derui Chen, Wenbing Deng, Lu Jiang, Xiaomo Hunan Univ Coll Civil Engn Changsha 410082 Hunan Peoples R China Hunan Univ Key Lab Wind & Bridge Engn Hunan Prov Changsha Peoples R China

Assuming the distance between two nodal points of a specific cable vibration mode as the effective length of a pinned-pinned cable, mode shape-aided cable tension estimation methods are employed to estimate the cable force. This article proposes a framework based on digital image correlation technique for remote measurement of the dynamic displacement time history of cables in cable structures. Frequency domain decomposition technique is then used to extract the cable natural frequencies and mode shapes. Identified cable mode shapes are used along with a tensioned pinned-pinned cable model to estimate the cable force. Accuracy of the proposed methodology is investigated using the experimental data coming from a laboratory-scale test setup and hanger cables of a real-world arch bridge.

关键词： Cable force estimation mode shape digital image correlation registration algorithm experimental verification

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A Modular registration algorithm for Medical Images

A Modular Registration Algorithm for Medical Images

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10th International Conference on Image Analysis and Recognition (ICIAR)

作者： Bertoluzza, Silvia Maggi, Giulia Tomatis, Stefano CNR IMATI Enrico Magenes Pavia Italy Univ Pavia Dept Math F Casorati Pavia Italy Humanitas Clin Inst Milan Italy

ISBN: (纸本)9783642390944;9783642390937

The aim of this communication is to present the design of a code for image registration based on a modular structure which allows to easily combine and interchange different image models, transformation classes and image "distance" functionals, which are dealt with by independent modules which can be implemented transparently to each other. The code is tested by comparing several registration strategies on medical images.

关键词： registration algorithm medical imaging optimization

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Research on registration algorithm of Pyramid Edge

Research on Registration Algorithm of Pyramid Edge

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5th International Conference on Digital Image Processing (ICDIP)

作者： Tao Yongpeng Wang Yaxuan Guo Wu Dalian Int Studies Univ Sch Software Dalian Peoples R China

ISBN: (纸本)9780819493057

A fast image matching algorithm would be constructed based on improved Powell method, for the problem of which point to start and the lack of restrictions in searching range in conventional mean pyramid structure search algorithm. Improved LOG operators can be used to extracted edge images, and build edge Pyramid images: first match with low-resolution edge images, and then it can be implemented stepwise up to the full-resolution image matching. The results showed that the algorithm can reduce calculation amount and improve the efficiency distinctly.

关键词： LOG Operators Pyramid Edge registration algorithm

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An automatic measurement system of distal femur morphological parameters using 3D slicer software

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BONE 2022年 156卷 116300-116300页

作者： Chen, Zhen Wang, Yagang Li, Xinghua Wang, Kunzheng Li, Zhe Yang, Pei Xian Univ Posts & Telecommun Coll Comp Sci Xian 710121 Shaanxi Peoples R China Xi An Jiao Tong Univ Affiliated Hosp 2 Dept Radiol Med Coll Xian 710004 Shaanxi Peoples R China Xi An Jiao Tong Univ Affiliated Hosp 2 Dept Bone & Joint Surg Med Coll Xian 710004 Shaanxi Peoples R China

In the field of joint surgery, the computer-aided design of knee prostheses suitable for the Chinese population requires a large quantity of anatomical knee data. In this study, we propose a new method that uses 3D Slicer software to automatically measure the morphological parameters of the distal femur. First, 141 femur samples were segmented from CT data to establish the femoral shape library. Next, balanced iterative reducing and clustering using hierarchies (BIRCH) combined with iterative closest point (ICP) and generalised procrustes analysis (GPA) were used to achieve fast registration of the femur samples. The statistical model was automatically calculated from the registered femur samples, and an orthopaedic surgeon marked the points on the statistical model. Finally, we developed an automatic measurement system using 3D Slicer software, and a deformable model matching method was applied to establish the point correspondence between the statistical model and the other samples. By matching points on the statistical model to corresponding points in other samples, we measured all other samples. We marked six points and measured eight parameters. We evaluated the performance of automatic matching by comparing the points marked manually with those matched automatically and verified the accuracy of the system by comparing the manual and automatic measurement results. The results indicated that the average error of the automatic matching points was 1.03 mm, and the average length error and average angle error measured automatically by the system were 0.37 mm and 0.63 degrees, respectively. These errors were smaller than the intra-rater and inter-rater errors measured manually by two different surgeons, which showed that the accuracy of our automatic method was high. Taken together, this study established an accurate and automatic measurement system for the distal femur based on the secondary development of 3D Slicer software to assist orthopaedic surgeons in comple

关键词： 3D slicer Distal femur Automatic measurement Morphological parameters registration algorithm

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