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  1. 541

    Features Image Matchingof SURF and RANSAC by WANG Wei-bing, BAI Xiao-ling, XU Qian

    Published 2018-02-01
    “…The scale invariant feature transform ( SIFT) algorithm,SURF algorithm,and the proposed optimization algorithm are compared in the same experimental environment. …”
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    Article
  2. 542

    A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks by Yuhong Wang

    Published 2022-01-01
    “…The algorithm combining SIFT and MSER to extract feature points can reach 3.6%, 4.6%, 8.4%, 15%, and 19.1%. …”
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    Article
  3. 543

    Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains by Branislava Gemovic, Vladimir Perovic, Sanja Glisic, Nevena Veljkovic

    Published 2013-01-01
    “…We have developed feature-based algorithm for the detection of mutations outside conserved functional domains (CFDs) and compared its classification efficacy with the most commonly used phylogeny-based tools, PolyPhen-2 and SIFT. …”
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    Article
  4. 544

    Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology by Chunying Wang, Yin Liu

    Published 2022-01-01
    “…The approximation index of the transformation matrix calculated by the registration algorithm based on SIFT+MSA is 1.7073, which is less than 4.0017 obtained by SIFT matching algorithm. …”
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    Article
  5. 545

    Retracted: Fast Recognition Method of Football Robot’s Graphics From the VR Perspective by Zhen Bai, Liang Wang, Sheng Zhou, Yuan Cao, Ying Liu, Jie Zhang

    Published 2020-01-01
    “…PA-SIFT algorithm is used to quickly identify the graphics. …”
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    Article
  6. 546

    Retracted: Target Recognition Method of Rehabilitation Robot Based on Image Local Features by Xing Li, Tianbao Wu

    Published 2020-01-01
    “…The number of correct matches accounted for 58.3%. Compared with the SIFT algorithm and the Harris+SIFT algorithm, the accuracy rate increases by 12.3% and 14.4%, respectively. …”
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    Article
  7. 547

    Financial phishing detection method based on sensitive characteristics of webpage by Xiang-dong HU, Ke LIU, Feng ZHANG, Jia-fu LIN, Jun FU, Zhi-hui GUO

    Published 2017-02-01
    “…The method matches number of sensitive text using multiple pattern matching algorithm AC_SC (AC suitable for Chinese). Then, the method locates and cuts logo image of webpage, and utilizes PCA-SIFT algorithm to extract image features and match features with library of webpage logo which was established beforehand. …”
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    Article
  8. 548

    Detect material volume by fusing heterogeneous camera target detection and depth estimation information by Wei Tian, Xuecong Cheng, Yipeng Zhang, Huazhi Lin

    Published 2025-01-01
    “…The visual measurement algorithm is the mainstream solution for the volume measurement. …”
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    Article
  9. 549
  10. 550

    A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

    Published 2025-07-01
    “…A MobileNetV2 backbone network integrated with a Temporal Shift Module (TSM) is designed to progressively capture the short-term dynamic features of the molten pool and integrate temporal information across both low-level and high-level features. …”
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    Article
  11. 551

    Recognition of Symbolic Gestures Using Depth Information by Hasan Mahmud, Md. Kamrul Hasan, Abdullah-Al-Tariq, Md. Hasanul Kabir, M. A. Mottalib

    Published 2018-01-01
    “…We have applied Scale-Invariant Feature Transform (SIFT) algorithm which takes the generated depth silhouettes as input and produces robust feature descriptors as output. …”
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    Article
  12. 552
  13. 553

    IMAGE PROCESSING MODELS AND METHODS RESEARCH AND WAYS OF IMPROVING MARKER RECOGNITION TECHNOLOGIES IN ADDED REALITY SYSTEMS by Nataliia Bolohova, Igor Ruban

    Published 2019-03-01
    “…This is supported by algorithms of machine learning. You can also notice that the SIFT calculation works much faster than fractal texture analysis. …”
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    Article
  14. 554

    Vision-Based Grasping Method for Prosthetic Hands via Geometry and Symmetry Axis Recognition by Yi Zhang, Yanwei Xie, Qian Zhao, Xiaolei Xu, Hua Deng, Nianen Yi

    Published 2025-04-01
    “…Then, target object images are captured using binocular depth cameras, and the YOLO algorithm is employed for object detection. The SIFT algorithm is applied to extract the object’s symmetry axis, thereby determining the optimal grasp point and initial hand posture. …”
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    Article
  15. 555

    Method of automatic coregistration of digital remote sensing images from different sources by A.N. Borisov, V.V. Myasnikov, V.V. Sergeev

    Published 2024-12-01
    “…To achieve a universal and robust solution in the latter stages, the best-known algorithms were compared: SIFT, SAR-SIFT, RIFT, and the trainable RoMa. …”
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    Article
  16. 556

    Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects by Qiong Gong, Tongxiao Lyu, Song Ye, Xinqiang Wang

    Published 2025-03-01
    “…A three-beam polarization imaging system is used to simultaneously capture the polarization images of sucrose solutions with varying concentrations, and the SIFT algorithm is employed to eliminate image shifts. …”
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    Article
  17. 557

    Comprehensive empirical evaluation of feature extractors in computer vision by Murat ISIK

    Published 2024-11-01
    “…Utilizing the Image Matching Challenge Photo Tourism 2020 dataset, which includes over 1.5 million images, the study identifies the FAST algorithm as the most efficient detector when paired with the ORB descriptor and Brute-Force (BF) matcher, offering the fastest feature extraction and matching process. …”
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  18. 558

    OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS by B. A. Zalesky, E. N. Seredin, M. V. Yadlouski

    Published 2016-09-01
    “…Results of comparison of the versions with the known mean shift algorithm and correlation type algorithms are also presented. …”
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    Article
  19. 559

    Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

    Published 2019-01-01
    “…Usually, for face recognition, scale-invariant feature transforms (SIFT) and speeded up robust features (SURF) have been used by the research community. …”
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  20. 560

    Research on a Surface Roughness Measurement Under ResNet-Based Roughness Classification and Light-Section With Seam-Driven Image Stitching (RCLS) by Huashen Guan, Qiushen Cai, Xiaobin Li, Guofu Sun

    Published 2024-01-01
    “…First, the images were classified with ResNet neural network, then stitched and enhanced by scale invariant feature transform (SIFT) and optimized random sample consensus (RANSAC) algorithm for the best visual effect. …”
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    Article