SIFT Feature-Based Video Camera Boundary Detection Algorithm by Lingqiang Kong

“…Aiming at the problem of low accuracy of edge detection of the film and television lens, a new SIFT feature-based camera detection algorithm was proposed. …”
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Defect identification method for overhead transmission lines based on SIFT algorithm by Qiang Liu, Xi Zheng, Qiuhan Zhang, Hongjie Sun, Jun Yan

“…The system uses a Scale-Invariant Feature Transform (SIFT) algorithm to precisely identify defect markers by initially extracting the texture features of standard wires and subsequently identifying variations that indicate faults. …”
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Optimization of Parallax Image Projection Based on SIFT by WANG Yang, LIU Jie, YOU Pinhong

“…In order to solve the problem of misalignment and ghosting in image stitching due to large parallax, this paper proposes a parallax image projection optimization algorithm based on SIFT First, the feature points of the image are acquired through SIFT, and then the mismatched points are removed from the image by the random sampling consistency algorithm, and the projected matrix calculation is performed on the removed feature points. …”
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A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm by Fang Zhou, Zhikuan Jiao, Guoqing Shen, Mengdao Xing, Marina Gashinova

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Distributionally Robust Variational Quantum Algorithms With Shifted Noise by Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang

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Grasp Detection under Occlusions Using SIFT Features by Zhaojun Ye, Yi Guo, Chengguang Wang, Haohui Huang, Genke Yang

“…In order to improve the quality of matching result, the proposed matching algorithm improves the SIFT algorithm and combines it with the improved RANSAC algorithm. …”
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Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor by Ekhlas Khalaf Gbash, Suha Mohammed Saleh

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Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor by Baghdad Science Journal

Subjects: “…Invariant Features, Object Recognition, Scale Invariance, Image Matching, Sift Algorithm.…”
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Reversible data hiding algorithm based on asymmetric histogram shifting by Yufen HE, Zhaoxia YIN, Jin TANG, Lei LIU, Shilei HUANG

“…The shifting of two asymmetric histograms in opposite directions in data embedding respectively had produced the pixel compensation and restore effect,a better reversible data hiding algorithm based on pixel prediction was proposed,two asymmetric histograms of prediction error were generated on the more right and the more left side of zero value,when they were shifed in the second data embedding stage,more pixels would be restored to the original image pixel value to reduce image distortion and improve the image quality.Compared with the traditional algorithm,it reduces the amount of pixels involved in the histogram shifting and protects the quality of secret image.…”
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Time shift TDT timing acquisition algorithm for PPM-UWB by XIANG Xin1, TIAN Bin1, YI Ke-chu1, LIU Lei1

“…It was proved that the TDT （timing with a dirty template） blind timing algorithm was only suitable for PAM-UWB systems rather than PPM-UWB systems.Furthermore,a TS-TDT （time-shift-TDT） blind timing synchronization algorithm was presented for PPM-UWB,which got synchronizing information from calculating the delay cross-correlation values by means of two correlation branches.Theoretical analysis and simulation results demonstrate that the implementation of the algorithm is of low complexity and flexible in precision control.…”
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SAR Image Registration Based on SAR-SIFT and Template Matching by Shichong Liu, Xiaobo Deng, Chun Liu, Yongchao Cheng

“…In the pre-registration stage, the scale-invariant feature transform for the synthetic aperture radar (SAR-SIFT) algorithm is integrated into an iterative optimization framework to eliminate large-scale geometric discrepancies, ensuring a coarse but reliable initial alignment. …”
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Similarity Evaluation of Patent Drawings using ResNet and SIFT by Hyuna Kim, Seongju Kim, Cheonho Park, Kyungsoon Kim

“…This study evaluated the similarity of patent drawings for effective retrieval using the representative deep-learning model, ResNet-50, and the traditional computer vision algorithm, scale-invariant feature transform (SIFT). …”
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OS-PSO: A Modified Ratio of Exponentially Weighted Averages-Based Optical and SAR Image Registration by Hui Zhang, Yu Song, Jingfang Hu, Yansheng Li, Yang Li, Guowei Gao

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Sorting Intolerant from Tolerant and PolyPhen-2 Algorithms: A Variation in Exon 14 of ATP7B Gene among 4 West Iraqi Families with Wilson’s Disease by Omar Qahtan

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Application of SIFT operator with binocular vision fusion in Building engineering measurement by Li Chune, Deng Rui

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High-Stability Algorithm in White-Light Phase-Shifting Interferometry for Disturbance Suppression by Chunxi Zhang, Haowei Li, Ningfang Song, Huipeng Li

“…For white-light phase-shifting interferometry (WLPSI), this novel algorithm provides suitable performance in suppressing noise caused by external conditions, such as mechanical vibrations, low-reflectivity surfaces, and poor-contrast interferograms. …”
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The shift-based scaling and recursing algorithm for evaluating the action of the matrix $ \varphi $-functions by Xianan Lu, Dongping Li, Zhixin Zhao

“…Numerical comparisons with existing algorithms demonstrate that the proposed algorithm performs well in terms of both accuracy and efficiency.…”
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Phase Extraction Algorithm Based on the Spatial Carrier-Frequency Phase-Shifting Gradient by Haoren Zou, Liyun Zhong, Jiaosheng Li, Zhenda Sun, Yicheng Liu, Qinwen Ning, Xiaoxu Lu

“…For improving the accuracy and processing speed of phase extraction, a new phase extraction algorithm based on the spatial carrier-frequency phase-shifting gradient (SCFPS-G) is proposed. …”
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An Improved Genetic Algorithm for Solving the Semi-Soft Clustered Vehicle Routing Problem by Yihao Miao, Xiaoguang Bao

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Improved Stochastic Gradient Matching Pursuit Algorithm Based on the Soft-Thresholds Selection by Zhao Liquan, Hu Yunfeng

“…The preliminary atom set exits redundant atoms in the stochastic gradient matching pursuit algorithm, which affects the accuracy of the signal reconstruction and increases the computational complexity. …”
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