TIE POINTS EXTRACTION FOR SAR IMAGES BASED ON DIFFERENTIAL CONSTRAINTS by X. Xiong, G. Jin, Q. Xu, H. Zhang

“…False matches are removed by the differential constrained random sample consensus (DC-RANSAC) algorithm, which appends strong constraints in azimuth direction and weak constraints in range direction. Matching points in the lower pyramid images are predicted with the local bilinear transformation model in range direction. …”
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Multi‐aircrafts tracking using spatial–temporal constraints‐based intra‐frame scale‐invariant feature transform feature matching by Zehua Xie, Zhenzhong Wei, Chen Bai

“…To handle occlusions, an intra‐frame matching method is applied to separate different aircrafts by matching points into different clusters. Moreover, to remove the mismatching caused by the cluttered background, the spatial–temporal constraint is applied to help improve the performance of the intra‐frame feature matching. …”
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An E-Band 21-dB Variable-Gain Amplifier with 0.5-V Supply in 40-nm CMOS by Gibeom Shin, Kyunghwan Kim, Kangseop Lee, Hyun-Hak Jeong, Ho-Jin Song

“…High-Q shunt capacitors were employed at the gate terminal of the core transistors to move input matching points for easy matching with a compact transformer. …”
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COMPREHENSIVE COMPARISON OF TWO IMAGE-BASED POINT CLOUDS FROM AERIAL PHOTOS WITH AIRBORNE LIDAR FOR LARGE-SCALE MAPPING by E. Widyaningrum, E. Widyaningrum, B. G. H. Gorte

“…Qualitative and quantitative assessments have been applied to evaluate LiDAR and image-matching point clouds data in terms of visualization, geometric accuracy, and classification result. …”
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Efficient RGB–D data processing for feature–based self–localization of mobile robots by Kraft Marek, Nowicki Michał, Penne Rudi, Schmidt Adam, Skrzypczyński Piotr

“…While the fast, RGB-D-based visual odometry system described in this paper builds upon our previous results as to the general architecture, the important novel elements introduced here are aimed at improving the precision and robustness of the motion estimate computed from the matching point features of two RGB-D frames. Moreover, we demonstrate that the visual odometry system can serve as the front-end for a pose-based simultaneous localization and mapping solution. …”
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Materials Effect in Sensing Performance Based on Surface Plasmon Resonance Using Photonic Crystal Fiber by Khalek, Md Abdul, Chakma, Sujan, Ahmed, Kawsar, Paul, Bikash Kumar, Vigneswaran, Dhasarathan, Zakaria, Rozalina

“…Moreover, the proposed model is also investigated to detect the change of phase matching point with the variation of center air hole diameter. …”

Hand Gesture Detection and Recognition Using Spectrogram and Image Processing Technique with a Single Pair of Ultrasonic Transducers by Guo-Hua Feng, Gui-Rong Lai

“…The results show that the number of matching points is an effective parameter for classifying hand gestures. …”
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Gravity-Matching Algorithm Based on K-Nearest Neighbor by Shuaipeng Gao, Tijing Cai, Ke Fang

“…The computing time can meet the requirements of real-time navigation, and the average running time of the KNN algorithm at each matching point is 5.87s. This algorithm shows better stability and anti-noise capability in the continuously matching process.…”
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Association Study Between Thermal Front Phenomena and Bali Sardinella Fishing Areas in Bali Strait by Argo Galih Suhadha, Andi Ibrahim

“…Based on matching distance analysis, the maximum distance used (twenty  kilometres  buffer)  show  36  matching  points from  101  data  compared  or  at  range  35.6%.  …”
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Pseudo feature point registration of pavement images by Dean Wright

“…Pseudo feature points are found using a modified corner detector, and then matching points between reference and template images established via a correlation analysis of pavement image texture. …”
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POINT CORRESPONDENCE CORRECTION BASED ON SURFACE CURVATURE FEATURES by Eko Mulyanto Yuniarno, Mochamad Hariadi, Mauridhi Hery Purnomo

“…We tested the technique by applying thecorrespondence  correction technique into three registration algorithm registration which is ICP, ICP-AIF and ICP-SCF then compare it with the original registration algorithm The result shows that registration algorithm using correspondence correction 63% faster, 23% more accurate and to find 530% more correct pair matching point than the original registration algorithm. …”
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ISVD-Based Advanced Simultaneous Localization and Mapping (SLAM) Algorithm for Mobile Robots by László Somlyai, Zoltán Vámossy

“…Using these RGB-D sensors, two- and three-dimensional point clouds can be recorded from the mobile devices, which provide additional information for localization and mapping. The method of matching point clouds during the movement of the device is essential: reducing noise while having an acceptable processing time is crucial for a real-life application. …”
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Non-rigid registration of mammogram images using large displacement optical flow with extended flexibility for manual interventions by Song, Hae Jin, S.M. Massachusetts Institute of Technology

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Mobile product recognition for information retrieval by Liu, Xing Tong.

“…To further understand the performance of database, low accuracy database was studied and matching points for a few examples are shown using both approaches. …”
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Improved statistical speech segmentation using connectionist approach by Salam, M. S., Mohamad, Dzulkifli, Salleh, S. H.

“…The segmentation using fusion of statistical and connectionist was able to reduce insertion points up to 10.4% while maintaining match points above 99% and omission point below 0.7% within time tolerance of 0.09 second. …”

UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework by Jiaming Na, Kaikai Xue, Liyang Xiong, Guoan Tang, Hu Ding, Josef Strobl, Norbert Pfeifer

“…To solve this problem, this work proposed an ensemble method of deep learning and terrain correction. First, image matching point cloud was generated by UAV photogrammetry. …”
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An Algorithm Based on a Feature Interaction-based Keypoint Detector and Sim-CSPNet for SAR Image Registration by Deliang XIANG, Yihao XU, Jianda CHENG, Canbin HU, Xiaokun SUN

“…We further propose the Siamese Cross Stage Partial Network (Sim-CSPNet) to rapidly extract feature descriptors containing deep and shallow features, which can obtain more correct matching point pairs than traditional synthetic shallow descriptors. …”
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3D OBJECT COORDINATES EXTRACTION BY RADARGRAMMETRY AND MULTI STEP IMAGE MATCHING by A. Eftekhari, M. A. Ghannadi, M. Motagh, M. Saadat Seresht

“…Then the RPCs that calculate for each images use for extracting 3D coordinate in matched points. At the end, the coordinates calculating that compare with coordinates extracted from 1 meters DEM. …”
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Image Precise Matching With Illumination Robust in Vehicle Visual Navigation by Zhou Jingmei, Cheng Xin, Han Ruizhi, Zhao Xiangmo

“…Because image edges and detail information have lower sensitivity for illumination change, SURF feature points are optimized by image gradient based on the idea of Canny, and the bidirectional search is used to obtain precise matching points. The experimental results show that feature point detection of the algorithm remains good stability for illumination change in images, and the matching accuracy can reach more than 94%. …”
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Zooming image based false matches elimination algorithms for robot navigation by Hongwei Gao, Yueqiu Jiang, Jinguo Liu, Yang Yu, Zhaojie Ju

“…Experiments results demonstrate that the three false matches elimination algorithms proposed are stable, and the false matches of feature points can be eliminated effectively with combination of these three methods, and the rest matching points can be applied into robot visual servoing.…”
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