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  1. 1
    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
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  2. 2
    Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes

    Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes by Dooraki A.R., Hooshyar D., Yousefi M.

    Published 2023
    Conference Paper
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  3. 3
    The Development of Color Based Visual Search Utility

    The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

    Published 2001
    “…Finally, a binary search algorithm was used to match and display images requested. …”
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  4. 4
    Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang

    Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang by Gao , Hanyang

    Published 2022
    “…The dissertation follows three objectives; to segment urban landmarks in an image, to develop an algorithm to quantify visual salience indicators for urban landmarks extraction, and to compare the performance of proposed algorithm in extracting urban landmarks between robot and human. …”
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  5. 5
    Face detection and stereo matching algorithms for smart surveillance system with IP cameras

    Face detection and stereo matching algorithms for smart surveillance system with IP cameras by Abd Manap, Nurulfajar

    Published 2010
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  6. 6
    Parse tree visualization for Malay sentence (BMTutor)

    Parse tree visualization for Malay sentence (BMTutor) by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2015
    “…It is also to enhance the learning process in BM that can be used by communities, especially students. An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences.…”
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  7. 7
    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…This thesis therefore proposes a framework to address these issues through a two-step approach involving region matching and region labeling. Specifically, the objectives of this thesis are (i) to develop an image registration technique based on multigraph matching, (ii) to detect occluded objects through exploration of candidate object correspondences in longer frame sequences, and (iii) to develop a robust graph coloring algorithm for multiple moving object detection under different transformations. …”
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  8. 8
    Examination timetable scheduling system (ETSS) / Fong Teng Heng

    Examination timetable scheduling system (ETSS) / Fong Teng Heng by Fong, Teng Heng

    Published 2000
    “…The algorithm using can be referred to Graph colouring. …”
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  9. 9
    Fuzzy matching scheme for stereo vision based electronic travel aid

    Fuzzy matching scheme for stereo vision based electronic travel aid by Balakrishnan, G., Sainarayanan, G., Nagarajan, R., Sazali, Yaacob

    Published 2009
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  10. 10
    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
    “…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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  11. 11
    A novel lip geometry approach for audio-visual speech recognition

    A novel lip geometry approach for audio-visual speech recognition by Mohd Zamri, Ibrahim

    Published 2014
    “…A new method has been developed to extract lip geometry information, to perform classification and to integrate visual and speech modalities. …”
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  12. 12
    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli

    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

    Published 2021
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  13. 13
    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe

    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

    Published 2001
    “…Alternatively, patch-matching algorithm was developed in success of the Fourier Transform method when results -were not favorable to it. …”
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  14. 14
    Text to Image Generation Using Machine Learning

    Text to Image Generation Using Machine Learning by Rishab, Tiwari, Chitra, K.

    Published 2024
    “…Many of the existing algorithms in this field struggle to produce visuals that precisely match the given text. …”
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  15. 15
    Face Detection System / Chan Beh Teng

    Face Detection System / Chan Beh Teng by Chan, Beh Teng

    Published 2004
    “…After that, the system will locate the frontal human face(s) within the skin regions, using template matching. The Face Detection System is implemented in visual Basic 6.0 The system was developed based on the Unified Process,which uses object-oriented paradigm as the basis of software development.…”
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  16. 16
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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  17. 17
    Design And Evaluation Of A Modified Csma/Cd Mac Protocol On Single-Channel Optical Local Area Network

    Design And Evaluation Of A Modified Csma/Cd Mac Protocol On Single-Channel Optical Local Area Network by Khairi, Kharina

    Published 2003
    “…The algorithm was developed in Visual Basic 6.0v programming language. …”
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  18. 18
    Estimation of image scale variations in monocular visual odometry systems

    Estimation of image scale variations in monocular visual odometry systems by Aqel, Mohammad O. A., Marhaban, Mohammad Hamiruce, Saripan, M. Iqbal, Ismail, Napsiah

    Published 2017
    “…This paper presents the development of a new technique and algorithm to estimate image-scale variations due to camera height fluctuations when the vehicle is driven on uneven terrains or when the height of vehicle from ground changes as a result of changes in load or number of passengers in the vehicle. …”
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  19. 19
    Region duplication forgery detection technique based on keypoint matching / Diaa Mohammed Hassan Uliyan

    Region duplication forgery detection technique based on keypoint matching / Diaa Mohammed Hassan Uliyan by Diaa , Mohammed Hassan Uliyan

    Published 2016
    “…Existing methods have been developed in the literature to reveal duplicated regions. …”
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  20. 20
    Wood species recognition based on phase - only correlation (POC) technique

    Wood species recognition based on phase - only correlation (POC) technique by Nik Kamariah, Nik Ismail

    Published 2013
    “…Each step contains specific calculations and algorithms to obtain details on the wood’s features and match them with the possible matching species. …”
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