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

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    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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    Conference or Workshop Item
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    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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    Thesis
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    Waste classification using support vector machine with SIFT-PCA feature extraction by Puspaningrum, Adita Putri, Endah, Sukmawati Nur, Sasongko, Priyo Sidik, Kusumaningrum, Retno, ., Khadijah, ., Rismiyati, Ernawan, Ferda

    Published 2020
    “…The performance of the SVM classification using SIFT feature is compared with the similar algorithm with SIFT-PCA combined feature. …”
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    Conference or Workshop Item
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    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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    Arabic words recognition technique for pattern matching using SIFT, SURF and ORB by Mohd Zailani, Syarah Munirah, Morshidi, Malik Arman, Mohd Esa, Luqman Naim

    Published 2017
    “…This paper investigates which recognition technique suits better in matching an image of printed Arabic text. The recognition algorithm involves the conventional Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF) and Oriented FAST and Rotated BRIEF (ORB). …”
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    Article
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    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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    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

    Published 2015
    “…The proposed algorithm starts by extracting local image features, which are known as keypoints, using SIFT, followed by searching for similar keypoints by clustering extracted descriptors from the image. …”
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    Thesis
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    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding by Safa, Soodabeh, Khalid, Fatimah

    Published 2020
    “…In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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    Article
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    Multispectral palm vein image fusion for contactless palm vein verification system by Soh, Shi Chuan

    Published 2018
    “…The result shows that SIFT algorithm achieved a better recognition rate and extract more information and matching pairs compared to SURF algorithm. …”
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    Thesis
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    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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    Article
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    Effect of masking techniques on computational complexity reduction of scale invariant feature transform by Sai'd, Yunusa Ali

    Published 2015
    “…The Scale Invariant Feature Transform (SIFT) is algorithm use in feature detection and description, it is famous and has dominated the research community. …”
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    Thesis
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    Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone by Saipullah, Khairul Muzzammil

    Published 2013
    “…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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    Article
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    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE by Saipullah, Khairul Muzzammil

    Published 2012
    “…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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    Keypoint Descriptors in SIFT and SURF for Face Feature Extractions by Suk, Ting Pui, Minoi, Jacey Lynn

    Published 2018
    “…The last decade, numerous researches are still working on developing a robust and faster keypoints image descriptors algorithm. In this paper, we will review a few complex keypoint descriptor approaches that are well-known and commonly used in vision applications, and they are Scale Invariant Feature Transform (SIFT) and Speed-up Robust Features (SURF). …”
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    Proceeding