MinGPU: a minimum GPU library for computer vision

    Authors

    P. Babenko;M. Shah

    Comments

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    Abstract

    In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sections or in their entirety, on a graphics processing unit (GPU). This is due to the superior speed GPUs offer compared to CPUs. In this paper, we present a GPU library, MinGPU, which contains all of the necessary functions to convert an existing CPU code to GPU. We have created GPU implementations of several well known computer vision algorithms, including the homography transformation between two 3D views. We provide timing charts and show that our MinGPU implementation of homography transformations performs approximately 600 times faster than its C++ CPU implementation.

    Journal Title

    Journal of Real-Time Image Processing

    Volume

    3

    Issue/Number

    4

    Publication Date

    1-1-2008

    Document Type

    Article

    First Page

    255

    Last Page

    268

    WOS Identifier

    WOS:000207724100003

    ISSN

    1861-8200

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