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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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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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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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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Predicting Soft Soil Settlement with a FAGSO-BP Neural Network Model by Binhui Ma, Yarui Xiao, Tian Lan, Chao Zhang, Zengliang Wang, Zeshi Xiang, Yuqi Li, Zijing Zhao

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Soft value flipping decoding algorithm for LDPC codes based on adjoint vectors sum by LIU Jian-quan1, XU You-yun1, CAI Yue-ming1

“…By analyzing the soft value distribution while belief propagation defeated, a soft value flipping decoding algo-rithm based on adjoint vectors sum was presented.With translating the error times of check equation which obtained by adjoint vectors sum into error bits distribution parameter and flipping some bit nodes soft value only once at certain itera-tion by a selection regulation, the frame error rate of the proposed algorithm for LDPC codes which have much more correlative rows can be reduced to a larger extent without complexity increase nearly（only O（N））.…”
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Soft value flipping decoding algorithm for LDPC codes based on adjoint vectors sum by LIU Jian-quan1, XU You-yun1, CAI Yue-ming1

“…By analyzing the soft value distribution while belief propagation defeated, a soft value flipping decoding algo-rithm based on adjoint vectors sum was presented.With translating the error times of check equation which obtained by adjoint vectors sum into error bits distribution parameter and flipping some bit nodes soft value only once at certain itera-tion by a selection regulation, the frame error rate of the proposed algorithm for LDPC codes which have much more correlative rows can be reduced to a larger extent without complexity increase nearly（only O（N））.…”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…These identified indicators were then employed to develop an intelligent soft detection model that integrates pipeline and environmental data, based on the K-Nearest Neighbor (KNN) and Random Forest algorithms. …”
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Nonlinear Structural Acoustic Control with Shunt Circuit Governed by a Soft-Computing Algorithm by Sebastian KURCZYK, Marek PAWEŁCZYK

“…The proposed control algorithm is based on algorithms from a group of soft computing. …”
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Comparative Analysis of Keypoint Detection Performance in SIFT Implementations on Small-Scale Image Datasets by Arif Rahman, Suprihatin, Imam Riadi, Tawar, Furizal

“…Although libraries are based on the same algorithm, their performance differs slightly. Regarding execution time and the average number of keypoints detected in each image, vlSIFT outperforms David Lowe’s library and OpenSIFT.…”
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