Research on Multi-sensor Image Matching Algorithm Based on Improved Line Segments Feature by Yuan Hui, Hao Ying-Guang, Liu Jun-Min

“…And then the matching function is constructed, by which the relationship of affine transform between the two images are preliminarily determined. And the matching point set is obtained. Finally, false matching points are eliminated based on RANSAC algorithm and the final transformation matrix to accomplish accurate matching is achieved. …”
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Comparison between Three Registration Methods in the Case of Non-Georeferenced Close Range of Multispectral Images by Claudio Ignacio Fernández, Ata Haddadi, Brigitte Leblon, Jinfei Wang, Keri Wang

“…The detection of matching points was performed using Speeded-Up Robust Features (SURF), and outliers matching points were removed using the M-estimator Sample Consensus (MSAC) algorithm. …”
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Research on Adaptive ORB-SURF Image Matching Algorithm Based on Fusion of Edge Features by Leng Han, Jiawei Wang, Yi Zhang, Xia Sun, Xuhui Wu

“…Finally, the excellent matching point pairs reserved by the adaptive FLANN algorithm are combined with the excellent matching point pairs reserved by the RANSAC algorithm to complete the matching. …”
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ICA-ASIFT-Based Multi-Temporal Matching of High-Resolution Remote Sensing Urban Images by Huang Fenghua, Mao Zhengyuan, Shi Wenzao

“…Then, fine matching is performed on rough matched point pairs using a Neighborhoodbased Feature Graph Matching algorithm (NFGM) to obtain final ASIFT matching point pairs of remote sensing images. …”
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Girth Measurement Based on Multi-View Stereo Images for Garment Design by Lei Yang, Qianqian Huang, Xiaowei Song, Menglong Li, Chunping Hou, Zixiang Xiong

“…Then, the system performs only on the corresponding clusters to extract stereo matching point pairs of markers correctly. The space coordinates of 3D point corresponding to each stereo matching point pair are calculated in each coordinate system of stereo cameras. …”
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Detecting Matching Blunders of Multi-Source Remote Sensing Images via Graph Theory by Cailong Deng, Xiuxiao Yuan, Lixia Deng, Jun Chen

“…Large radiometric and geometric distortion in multi-source images leads to fewer matching points with high matching blunder ratios, and global geometric relationship models between multi-sensor images are inexplicit. …”
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Multiple Multipole Expansions For Elastic Scattering: An Aid To Understanding The Problems In "No-Record" Areas by Imhof, Matthias G.

“…The incident wavefield and the fields induced by the scatterers are matched by evaluating the boundary conditions at discrete matching points along the domain boundaries. Due to the non-orthogonal expansions, more matching points are used than actually needed, resulting in an overdetermined system which is solved in the least squares sense. …”
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OpenCV image stitching analysis by Kok, Chuan Yong

“…The second draw matches program was also developed to highlight the “matched” points when we stitch two images together. This program helps us to understand the stitching software better as it shows the matching points of the reference and target image side by side. …”
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A Full-Spectrum Registration Method for Zhuhai-1 Satellite Hyperspectral Imagery by Jinjun Meng, Jiaqi Wu, Linlin Lu, Qingting Li, Qiang Zhang, Suyun Feng, Jun Yan

“…It is usually difficult to extract enough matching points for inter-band registration in hyperspectral imagery due to the different spectral responses for land features in different image bands. …”
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Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology by Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu

“…It is used to generate the annulus matching points with the ring-type grid topology. (3) The optimal matching position of the ending point in this annulus is obtained by iteratively calculating the evaluation index value of the matching points and following the evaluation index optimal rule. …”
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An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion by Lei Yang, Qingyuan Li, Xiaowei Song, Wenjing Cai, Chunping Hou, Zixiang Xiong

“…This paper proposes an improved stereo matching algorithm for vehicle speed measurement system based on spatial and temporal image fusion (STIF). Firstly, the matching point pairs in the license plate area with obviously abnormal distance to the camera are roughly removed according to the characteristic of license plate specification. …”
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Improving the Reliability of Underwater Gravity Matching Navigation Based on a Priori Recursive Iterative Least Squares Mismatching Correction Method by Zhaowei Li, Wei Zheng, Fan Wu

“…Secondly, according to factors such as matching algorithm probability, error of INS, and the actual situation, we comprehensively considered the effects of recursive sampling points, priori matching points, etc. The new mismatching judgment and dynamic correction (MJDC) model was constructed based on the PRILSMC method. …”
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A Wi-Fi Indoor Positioning Method Based on an Integration of EMDT and WKNN by Rong Zhou, Fengying Meng, Jing Zhou, Jing Teng

“…Finally, to further avoid the influence of RSSI fluctuation on the positioning accuracy, the deviated matching points are removed, and more precise combined weights are constructed by combining the geometric distance of the matching points and the Euclidean distance of fingerprints in the positioning method-WKNN. …”
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Target Localization and Grasping of Parallel Robots with Multi-Vision Based on Improved RANSAC Algorithm by Ruizhen Gao, Yang Li, Zhiqiang Liu, Shuai Zhang

“…At present, the main method of target recognition used in palletizers is the traditional SURF algorithm, but this method of grasping leads to low accuracy due to the influence of too many mis-matched points. Due to the accuracy of robot target localization with binocular-based vision being low, an improved random sampling consistency algorithm for performing complete parallel robot target localization and grasping under the guidance of multi-vision is proposed. …”
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An improved schlieren method for measurement and automatic reconstruction of the far-field focal spot. by Zhengzhou Wang, Bingliang Hu, Qinye Yin

“…Because the best matching point is obtained through image processing rather than traditional reconstruction methods based on manual splicing, this method is less sensitive to the efficiency of focal-spot reconstruction and thus offers better experimental precision.…”
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Adjacent field dose modification in breast radiotherapy by use of half-blocks by Goodarzi A H, Nikufar A R, Boluri B, Mahdavi S R, Ghazikhanloo sani K

“…Background: During breast three fields radiotherapy, the problem is that the divergency of the field interferes with matching the edges. So the matching point of these supraclav and tangential field will suffer from over-dose and under-dose. …”
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Mobile Terminal Video Image Fuzzy Feature Extraction Simulation Based on SURF Virtual Reality Technology by Yingying Feng

“…Then, the main direction of feature points was determined, and SURF description operator was used for matching to obtain initial matching point pairs. Finally, the obtained fuzzy feature one-way matching result of the video image is matched in two directions, the closest distance ratio is used to match the feature points, and the full constraint condition is used to filter out the wrong matching point pairs, thereby completing the mobile terminal video image fuzzy feature extraction. …”
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IMPROVING RANSAC FEATURE MATCHING BASED ON GEOMETRIC RELATION by A. Elashry, B. Sluis, C. Toth

“…This process can pre-filter the matched points, and thus increase the inliers’ ratio. …”
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GACM: A Graph Attention Capsule Model for the Registration of TLS Point Clouds in the Urban Scene by Jianjun Zou, Zhenxin Zhang, Dong Chen, Qinghua Li, Lan Sun, Ruofei Zhong, Liqiang Zhang, Jinghan Sha

“…During the training progress, we used both matched points and non-matched points to train the model. …”
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Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images by Nina Merkle, Wenjie Luo, Stefan Auer, Rupert Müller, Raquel Urtasun

“…Image registration between SAR and optical images requires few, but accurate and reliable matching points. These are derived from a Siamese neural network. …”
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