Real-Time Depth-of-Field Rendering Using Anisotropically Filtered Mipmap Interpolation

Sungkil Lee, G. Jounghyun Kim, Seungmoon Choi
Haptics and Virtual Reality Laboratory, Department of Computer Science and Engineering, POSTECH, San 31, Hyoja-dong, Nam-gu, Pohang, Gyungbuk, 790-784, Republic of Korea
IEEE Transactions on Visualization and Computer Graphics, 2008

   title={Real-time depth-of-field rendering using anisotropically filtered mipmap interpolation},

   author={Lee, S. and Kim, G.J. and Choi, S.},

   journal={IEEE Transactions on Visualization and Computer Graphics},



   publisher={Published by the IEEE Computer Society}


Download Download (PDF)   View View   Source Source   



This article presents a real-time GPU-based post-filtering method for rendering acceptable depth-of-field effects suited for virtual reality. Blurring is achieved by nonlinearly interpolating mipmap images generated from a pinhole image. Major artifacts common in the post-filtering techniques such as bilinear magnification artifact, intensity leakage, and blurring discontinuity are practically eliminated via magnification with a circular filter, anisotropic mipmapping, and smoothing of blurring degrees. The whole framework is accelerated using GPU programs for constant and scalable real-time performance required for virtual reality. We also compare our method to recent GPU-based methods in terms of image quality and rendering performance.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

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] => 1477074050
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1477074050
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => no45MYPCYLludWaxsiuwBRJULro=

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

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: