+ All Categories
Home > Documents > Volume Stylizer: Tomography-based Volume Painting

Volume Stylizer: Tomography-based Volume Painting

Date post: 24-Feb-2016
Category:
Upload: carrington
View: 41 times
Download: 0 times
Share this document with a friend
Description:
Volume Stylizer: Tomography-based Volume Painting. Oliver Klehm 1 , Ivo Ihrke 1,2 , Hans-Peter Seidel 1 , Elmar Eisemann 3 1 Max-Planck-Institut fü r Informatik 2 Saarland University 3 TU Delft I3D 2013 23/03/2012. Motivation. Want to influence the appearance of volumes (voxels) - PowerPoint PPT Presentation
Popular Tags:
28
Volume Stylizer: Tomography-based Volume Painting Oliver Klehm 1 , Ivo Ihrke 1,2 , Hans-Peter Seidel 1 , Elmar Eisemann 3 1 Max-Planck-Institut für Informatik 2 Saarland University 3 TU Delft I3D 2013 23/03/2012
Transcript
Page 1: Volume Stylizer: Tomography-based Volume Painting

Volume Stylizer:Tomography-based Volume PaintingOliver Klehm1, Ivo Ihrke1,2, Hans-Peter Seidel1, Elmar Eisemann3

1 Max-Planck-Institut für Informatik2 Saarland University3 TU Delft

I3D 201323/03/2012

Page 2: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 2

Page 3: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 3

Want to influence the appearance of volumes (voxels)• Editing on a fine-grained level is non-intuitive• No suitable tools available

o A Programmable System For Artistic Volumetric Lighting [Nowrouzezahrai2011]

Approach:• Inverse rendering: editing by painting

Motivation

Page 4: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 4

What do we modify• Volume parameters (per voxel)

o Emissiono Albedoo Extinction

Our Goal

Page 5: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 5

What do we modify• Volume parameters (per voxel)

From what do we edit the parameters• Arbitrary input images (target views)• In practice: rendered images that were painted

Our Goal

Page 6: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 6

Our Goal: Volume Painting

Page 7: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 7

Our Goal: Volume Painting

Page 8: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 8

What do we modify• Volume parameters (per voxel)

From what do we edit the parameters• Arbitrary input images (target views)• In practice: rendered images that were painted

Additional required information• Per image: camera parameters (viewing position, direction)• Lighting, scene

How do we optimize• Per-pixel difference to input image• Linear problem• Inconsistent input -> least-squares solution

Our Goal

Page 9: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 9

Given: each pixel k of target view as a constraint pixel Data associated:

ray origin, direction, target radiance

Try to reconstruct volume properties, such thatcomputed radiance matches target radiance(per pixel k)

Specific Goal

Page 10: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 10

A single pixel may influence many voxels And vice versa…

Problem overview

Page 11: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 11

Volume Rendering

Page 12: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 12

Represent the target field (e.g. ) as linear combination of basis functions• Common for stored volumes (== voxels: box/triangle basis fct.)

Reconstruct coefficient vector

, such that

Volume Reconstruction

Includes target Includes volume rendering

Page 13: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 13

Emission Reconstruction

Page 14: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 14

W is huge, ill-conditioned, …!=> iterative conjugate gradient method

We need to compute:• Objective Function:• Derivative:

The trick:

=> this is rendering / back-projection!

Optimization

=

Page 15: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 15

Pre-computation• Cache incoming light in volume per voxel• Sub-sample environment map, deep shadow maps

Optimization• 1. objective function evaluation

o Voxel traversal, gathering pre-cached incoming light

Implementation

Page 16: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 16

Pre-computation• Cache incoming light in volume per voxel• Sub-sample environment map, deep shadow maps

Optimization• 1. objective function evaluation• 2. gradient of objective function

Implementation

Page 17: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 17

Pre-computation• Cache incoming light in volume per voxel• Sub-sample environment map, deep shadow maps

Optimization• 1. objective function evaluation• 2. gradient of objective function• Additional vector arithmetic (addition, norm2, …)

Implementation

Page 18: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 18

Results - Video

Page 19: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 19

How to handle inconsistent inputs? How to define intermediate views? How to generalize? – requires different optimization

Optimize for volume and lighting

Limitations / Future Work

Page 20: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 20

3D volume properties by 2D painting Standard Rendering Model Fast GPU Optimization for interactive sessions

Conclusion

Thank you

Page 21: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 21

All OpenGL Vectors are actually 3D Textures Operations as shaders• Matrix multiplication is volume rendering• Arithmetic operations are “simple” shaders

=> Reconstruction in order of seconds

Fast Implementation

Page 22: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 22

Results

Page 23: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 23

Results

Page 24: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 24

Results - Extinction

Page 25: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 25

Light Editing• Lighting with paint [Pellacini2007]

o Non-linear light optimization• BendyLights [Kerr2010]

o Editing of spot lights• Optimizing Environment Maps for Material Depiction [Bousseau2011]

o Optimization with adhoc metrics Volume editing

• A Programmable System For Artistic Volumetric Lighting [Nowrouzezahrai2011]o Derivation of volume properties for single light beam onlyo Replacing physically-motivated parts of rendering with shaderso Homogeneous media onlyo Treat light beam as string of light (e.g. flow of particle)

• Automatically Adjusting Parameters for Rendering Clouds using Photographs [Dobashi2012]

Related Work

Page 26: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 26

Tomography• Ihrke• Wetzstein• Lanmann

Fabrication• Shadow Art [Pauly2009]• Manufactoring Layered Attenuators for Multiple Prescribed Shadow Images

[Baran2012]

Related Work

Page 27: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 27

Properties to reconstruct:• Extinction (overall density of volume)• Albedo (amount of scattering)• Emission (self glow)

Assumption: Single Scattering!• Light scatters ONCE in volume

Volume Properties

Page 28: Volume Stylizer: Tomography-based Volume Painting

Oliver Klehm, 28

Emission reconstruction

Background / first surface, attenuated by volume

Attenuation by volume

Integration along view ray

In-scattered light

Number of particles (extinction)


Recommended