Title

Mingpu: A Minimum Gpu Library For Computer Vision

Keywords

Computer vision; GPGPU; GPU; Homography transformation

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.

Publication Date

12-1-2008

Publication Title

Journal of Real-Time Image Processing

Volume

3

Issue

4

Number of Pages

255-268

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/s11554-008-0085-x

Socpus ID

54949090347 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/54949090347

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