A Layered Depth-of-Field Method for Solving Partial Occlusion

A Layered Depth-of-Field Method for Solving Partial

OcclusionDavid C. Schedl Michael Wimmerschedl@cg.tuwien.ac.at wimmer@cg.tuwien.ac.at

Institute of Computer Graphics and AlgorithmsVienna University of Technology

WSCG – 26th June 2012

David C. Schedl

Real life partial occlusion

f=18 mm, N=4

David C. Schedl

Intro/Overviewdepth-of-field approximation

post processingpartial occlusion in realtime

David C. Schedl

Thin lens

David C. Schedl

Previous workPotmesil and Chakravarty, 1981

CoC - equationfirst post-processing methodblur according to CoCsstill a referenceartifacts

David C. Schedl

Artifacts

color bleeding:

[Demers2004]

[Riguer2005]

depth discontinuity:

David C. Schedl

Partial Occlusionpinhole vs. finite aperture

David C. Schedl

Partial Occlusion

pinhole: finite aperture:

David C. Schedl

Previous work – solve partial occlusion

non-realtime:ray-tracing (Cook et al., 1984)Accumulation B. (Haeberli and Akeley, 1990)

layered methods:Kraus and Strengert, 2007

occluded scene content only interpolated

Lee et al., 2010image composition via ray traversalsimulate more lens effectsmore complex and slower than ours

David C. Schedl

Our Method

David C. Schedl

Our Method

David C. Schedl

Overview

David C. Schedl

Rendering& Depth PeelingIm

David C. Schedl

Matting – functionsw

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Matting – functionsw

David C. Schedl

Matting – layers In

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Blurringuniformly blur layersGaussian filter

David C. Schedl

Blurring

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Blurring

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Composealpha-blend back to front

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Optimizationreduce filter widthrecursive Gaussians

David C. Schedl

Optimization - front

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Optimization - Compositing

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Results - Homunculus

f=100mm, N =1.4, focus=18 500 mm, 17 layers, 3x DP

David C. Schedl

Results - Dragons

f=100mm, N =1.4, focus=3 000 mm, 22 layers, 3x DP

David C. Schedl

Results – BenchmarksIntel Core i7 920, Geforce GTX 480OpenGL and GLSL1024 x 1024px

ours Lee et. al. 2010 Accum. B.

optimized non-rec. 256 rays 256 views

Homunculus(74k tri.) 102 ms 1.4x 13.2x 47x

Dragons(610k tri.) 98 ms 1.3x 14.7x 42x

David C. Schedl

Conclusionlayered DoF methodpartial occlusion solvedcomparison to:

Accumulation Buffer Lee et al., 2010

optimized by recursive Gaussiansefficient composition with alpha blending

David C. Schedl

Outlookscreen-spaced antialiasingavoid empty layers: clusteringinaccurate but faster blurring methodscombine with eye-tracker

Thank you!

slides will be available at: http://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/

David C. Schedl

A Layered Depth-of-Field Method for Solving Partial Occlusion

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