Search Results - (( spatial visualization matching algorithm ) OR ( java application stemming algorithm ))

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  1. 1
    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
    “…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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  2. 2
    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
    “…For next, instead of k-means clustring, Fuzzy cmeans clustering is combined with Spatial Pyramid Matching image representation to improve the accuracy of classification results. …”
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  3. 3
    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
    “…Urban landmarks are spatial features that are visually significant in the neighbourhood. …”
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  4. 4
    A framework for multiple moving objects detection in aerial videos

    A framework for multiple moving objects detection in aerial videos by Kalantar, Bahareh, Abdul Halin, Alfian, Al-Najjar, Husam Abdulrasool H., Mansor, Shattri, Genderen, John L. Van, M. Shafri, Helmi Zulhaidi, Zand, Mohsen

    Published 2019
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  5. 5
    Content-based indexing of low resolution documents

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…K-means clustering are used for visual features like colour since their spatial distribution give a good image’s global information. …”
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  6. 6
    Computed tomography and echocardiography image fusion technique for cardiac images

    Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

    Published 2016
    “…For evaluation, beside uncertainty estimation and visually evaluation by experts, quantitative and qualitative evaluations are conducted. …”
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  7. 7
    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…Integration of 3D-GIS and spatial analytical techniques together with hydrologic and hydraulic modeling processes has enhanced the visualization and display techniques for visual presentation and generation of flood inundation maps for early warning and contingency planning.…”
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  8. 8
    Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan

    Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan by Ali, Kohan

    Published 2020
    “…Depth Estimation refers to a set of techniques and algorithms that aim to obtain a representation of spatial information of a scene. …”
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  9. 9
    Development of mapping methods for seagrass meadows in Malaysia by using landsat images

    Development of mapping methods for seagrass meadows in Malaysia by using landsat images by Hossain, Mohammad Shawkat

    Published 2015
    “…The next study was focused on assessment of the geometric and radiometric fidelity of images reconstructed by three potential gap-filling methods: (1) Geostatistical Neighbourhood Similar Pixel Interpolator (GNSPI), (2) Weighted linear regression algorithm integrated with Laplacian prior regularization, and (3) Local Linear Histogram Matching methods. …”
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