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Enhanced computer vision with Microsoft Kinect sensor: a review.

Jungong Han, Ling Shao, Dong Xu

    IEEE Transactions on Cybernetics
    |June 29, 2013
    PubMed
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    The Microsoft Kinect sensor enables advanced computer vision by combining depth and visual data. This review covers Kinect-based algorithms for tasks like object recognition and 3-D mapping.

    Area of Science:

    • Computer Vision
    • Robotics
    • Human-Computer Interaction

    Background:

    • The Microsoft Kinect sensor democratized high-resolution depth and visual (RGB) sensing.
    • Its complementary data streams offer novel solutions for complex computer vision challenges.

    Purpose of the Study:

    • To provide a comprehensive review of Kinect-based computer vision algorithms and applications.
    • To classify and analyze methods for enhancing computer vision tasks using Kinect data.

    Main Methods:

    • Systematic review and classification of recent Kinect-based computer vision literature.
    • Analysis of algorithms for preprocessing, object tracking/recognition, human activity, hand gesture analysis, and indoor 3-D mapping.
    • Comparison of Kinect-based methods with traditional RGB approaches.

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    Main Results:

    • Kinect sensor significantly enhances capabilities in object recognition, human activity analysis, and 3-D mapping.
    • Depth and RGB data fusion provides richer scene understanding compared to RGB alone.
    • Identified key algorithmic contributions and advantages across various computer vision domains.

    Conclusions:

    • Kinect-based computer vision offers significant advancements across multiple applications.
    • Future research trends focus on overcoming current challenges and expanding Kinect's utility.
    • This review serves as a foundational resource for researchers in Kinect-based computer vision.