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    <responseDate>2026-10-15T21:03:53Z</responseDate>
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                <identifier>oai:data.mendeley.com/8f5vy22p4c.1</identifier>
                <datestamp>2026-06-25T19:56:28Z</datestamp>
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    <dc:creator>Ramdhan, Syaipul</dc:creator>
    <dc:title>A Video Dataset for Feature-Poor and Low-Light AR Tracking Benchmarking: ORB vs AKAZE</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains 36 video sequences (.mp4 format) captured at 10, 100, and 500 Lux. It is designed to evaluate the visual drift (RMSE) and tracking breakdown points of ORB and AKAZE algorithms within the Unity AR Foundation framework under various kinematic movements (static, panning, rotation) and surface textures.</dc:description>
    <dc:subject>Computer Vision</dc:subject>
    <dc:subject>Augmented Reality</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/8f5vy22p4c.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/8f5vy22p4c.1</dc:identifier>
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    <dc:date>2026-06-25T19:56:28Z</dc:date>
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