A 2-stage sample culling algorithm for motion and defocus blur rendering

Yi Jeng Wu, Der Lor Way, Zen-Chung Shih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motion blur and defocus blur are two common visual effects for rendering realistic camera images. This paper presents a novel clip space culling for stochastic rasterization to render motion and defocus blur. The proposed 2-stage process reduces the sample coverage using the clip space information at camera lens domain (UV) and time domain (T). First, a conventional range of the camera lens UV bound is obtained, and all samples outside this bound are culled. Second, a triangular equation formula is computed through each triangle vertex position in XYUVT space. Based on this equation, all samples outside the triangle are also culled. Our method achieves good sample test efficiency with low computation cost for the real-time stochastic rasterizer. Finally, the proposed method is demonstrated by means of various experiments and a comparison is made to previous works.

Original languageEnglish
Title of host publicationProceedings of the International Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014
EditorsKatherine Blashki, Yingcai Xiao
PublisherIADIS
Pages173-180
Number of pages8
ISBN (Electronic)9789898533227
StatePublished - 1 Jan 2014
EventInternational Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014 - Lisbon, Portugal
Duration: 15 Jul 201419 Jul 2014

Publication series

NameProceedings of the International Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014

Conference

ConferenceInternational Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014
CountryPortugal
CityLisbon
Period15/07/1419/07/14

Keywords

  • Defocus blur
  • Focal depth
  • Motion blur
  • Sample test efficiency (STE)
  • Stochastic rasterization

Fingerprint Dive into the research topics of 'A 2-stage sample culling algorithm for motion and defocus blur rendering'. Together they form a unique fingerprint.

Cite this