15943

Computer Vision on the GPU — Tools, Algorithms and Frameworks

Hannes Fassold
JOANNEUM RESEARCH
IEEE International Conference on Intelligent Engineering Systems, 2016
@{,

}

Download Download (PDF)   View View   Source Source   

858

views

In recent years, graphic processing units (GPUs) have emerged as an attractive alternative to CPUs for implementing algorithms in a wide range of applications. The focus of this work is to give an overview about the current state on using GPUs for computer vision. We describe briefly tools like CUDA, OpenCL and OpenACC used for GPU programming and their respective advantages / disadvantages. We give information about the current state of the art for implementing important computer vision algorithms like optical flow, KLT feature point tracking and SIFT descriptor extraction efficiently on the GPU. Finally, we describe open source frameworks which either provide GPU-accelerated computer vision algorithms or which are helpful for porting algorithms to the GPU.
VN:F [1.9.22_1171]
Rating: 5.0/5 (2 votes cast)
Computer Vision on the GPU -- Tools, Algorithms and Frameworks, 5.0 out of 5 based on 2 ratings

* * *

* * *

TwitterAPIExchange Object
(
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
        (
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1480832001
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1480832001
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => tku3v6eu/LQlx8b/xJnb1MyeSr0=
        )

    [url] => https://api.twitter.com/1.1/users/show.json
)
Follow us on Facebook
Follow us on Twitter

HGPU group

2079 peoples are following HGPU @twitter

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: