Search Results - ((((((sift algorithm) OR (_ algorithm))) OR (based algorithm))) OR (system algorithm))

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  1. 1
    Facial features point localization using modified SIFT scale space / Zulfikri Paidi

    Facial features point localization using modified SIFT scale space / Zulfikri Paidi by Paidi, Zulfikri

    Published 2020
    Subjects: “…Algorithms…”
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  2. 2
    Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform

    Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform by Ooi , Chong Wei

    Published 2015
    “…Experimental results shows that SURF and SIFT are robust algorithm performing stable key point detection. …”
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  3. 3
    A biometric fingerprint recognition system utilizing the Scale Invariant Feature Transform (SIFT) algorithm for border crossing

    A biometric fingerprint recognition system utilizing the Scale Invariant Feature Transform (SIFT) algorithm for border crossing by Hamzah N.A., Jaaz Z.A., Al-Bakri N.F., Tawfeq J.F., Radhi A.D.

    Published 2024
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    Conference Paper
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  4. 4
    Panoramic image matching method for UAV remote sensing based of sift algorithm

    Panoramic image matching method for UAV remote sensing based of sift algorithm by Emran Izzuddin Mohd Suib

    Published 2024
    text::Final Year Project
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  5. 5
    Multispectral palm vein image fusion for contactless palm vein verification system

    Multispectral palm vein image fusion for contactless palm vein verification system by Soh, Shi Chuan

    Published 2018
    “…SIFT algorithm achieved a reduction in EER rate by 12% in 700 nm, 8% in 850 nm, 7% in 940 nm compared with the SURF algorithm. …”
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  6. 6
    Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan

    Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan by Adnan, Nurul Anis Suriana

    Published 2017
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  7. 7
    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding

    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding by Safa, Soodabeh, Khalid, Fatimah

    Published 2020
    “…Classic bag of visual words algorithm is based on k-means clustering and every SIFT features belongs to one cluster and it leads to decreasing classification results. …”
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  8. 8
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…To overcome this problem, in recent years, researchers obtained some achievements with combination of invariant local features such as Scale Invariant Feature Transform (SIFT) with global feature of leaf images. Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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  9. 9
    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC

    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC by Merrad, Yacine, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Gunawan, Teddy Surya

    Published 2020
    “…The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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  10. 10
    Phylogenetic tree classification system using machine learning algorithm

    Phylogenetic tree classification system using machine learning algorithm by Tan, Jia Kae

    Published 2015
    “…A study is conducted to develop an automated phylogenetic tree image classification system by using machine learning algorithm. This study adopted supervised machine learning algorithm which is the Support Vector Machine (SVM) for classification. …”
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    Final Year Project Report / IMRAD
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  11. 11
    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi

    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

    Published 2015
    “…The true and false positive rates achieved by the proposed algorithm outperform several current detection algorithms.…”
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  12. 12
    “myHerbs”: A mobile based application for herbal leaf recognition using sift / Nur Nabilah Abu Mangshor …[et al.]

    “myHerbs”: A mobile based application for herbal leaf recognition using sift / Nur Nabilah Abu Mangshor …[et al.] by Abu Mangshor, Nur Nabilah, Abdul Rahman, Mohamed Al Arabee, Sabri, Nurbaity, Ibrahim, Shafaf, Ibrahim, Zaidah, Shari, Anis Amilah

    Published 2020
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  13. 13
    IMAGE STITCHING USING HARRIS CORNER & SIFT FEATURES

    IMAGE STITCHING USING HARRIS CORNER & SIFT FEATURES by SHAMSUL KAMAR, FARAH AZLIN

    Published 2016
    “…In this project work, the objective is to implement and design an algorithm of image stitching construction with approaches of two types of feature based, which are Harris corner and Scale-Invariant Feature Transform (SIFT) features method. …”
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    Final Year Project
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  14. 14
    Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone

    Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone by Saipullah, Khairul Muzzammil

    Published 2013
    “…This paper presents the analysis of real-time object detection method for embedded system particularly the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. …”
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  15. 15
    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE

    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE by Saipullah, Khairul Muzzammil

    Published 2012
    “…This paper presents the analysis of real-time object detection method for embedded system, especially the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. …”
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    Conference or Workshop Item
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  16. 16
    Benchmarking in silico tools for the functional assessment of DNA variants using a set of strictly pharmacogenetic variants

    Benchmarking in silico tools for the functional assessment of DNA variants using a set of strictly pharmacogenetic variants by Chua, Eng Wee, Goh, Chian Siang

    Published 2019
    “…The performance of SIFT surpassed that of CADD despite its much simpler algorithm, correctly identifying 66.91% of the damaging variants and 84.38% of the neutral variants. …”
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  17. 17
    Biometric identification with limited data set

    Biometric identification with limited data set by Lionnie, Regina, Attamimi, Said, Sediono, Wahju, Alaydrus, Mudrik

    Published 2019
    “…The best recognition precision was produced by SIFT algorithm which was 38%, while other methods only gave out 30-32% precision of recognition.…”
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    Proceeding Paper
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  18. 18
    Slam-based mapping for object recognition

    Slam-based mapping for object recognition by Loh, Wan Ying

    Published 2018
    “…The personal laptop acts as the command center where the Simultaneous Localization and Mapping (SLAM) algorithm are run by receiving odometry data from Arduino on the custom made robot. …”
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    Final Year Project / Dissertation / Thesis
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  19. 19
    Analysis of banana plant health using machine learning techniques

    Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

    Published 2024
    “…The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. …”
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  20. 20
    Improved SIFT algorithm for place categorization

    Improved SIFT algorithm for place categorization by Said, Yunusa Ali, Marhaban, Mohammad Hamiruce, Ahmad, Siti Anom, Ramli, Abd Rahman

    Published 2015
    “…The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed. …”
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