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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Real-time 3D integral imaging system using a faster elemental image generation method using GPU parallel processing

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    13241001, 13201035, 13201010_CSE.pdf (1.139Mb)
    Date
    2017
    Publisher
    BRAC University
    Author
    Islam, Md. Sifatul
    Subhani, Mahfuze
    Tareque, Mohd. Zishan
    Rafi, M. Rashidur Rahman
    Metadata
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    URI
    http://hdl.handle.net/10361/8199
    Abstract
    A novel method of faster computation of Elemental Image generation for real time integral imaging 3D display system, with the implementation of GPU parallel processing is proposed. Previous experiments were conducted to generate Real Time Integral Image and resulting frame rate was greater than 30fps. Our proposed system consists of the following steps: information acquisition of real objects in real time, calculation of lens property, generation of elemental image sets using pixel mapping algorithm and GPU parallel processing for faster generation. To implement this system, firstly the color (RGB) and depth information data of each object point is acquired from the depth camera (Kinect sensors). Using these information, we create the elemental image sets using pixel mapping algorithm. And finally using a wrapper/sdk of CUDA (CUDAfy) we implemented the pixel mapping algorithm in GPU and hence the overall computational speed of the real time integral display system increases. The proposed system provides elemental images generated at a rate of more than 65 fps. Furthermore, this opens up a new field of possibilities of improvement in integral imaging such as real time projection in multi direction and many others.
    Keywords
    3D integral imaging; GPU parallel processing
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 36-38).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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