Volume Graphics

What’s in the cards…

The Panelists

Kwan-Liu Ma

The Panelists

Kwan-Liu Ma Min Chen

The Panelists

Kwan-Liu Ma Min Chen Baoquan Chen

The Panelists

Kwan-Liu Ma Min Chen Baoquan Chen MichaelMeissner

The Panelists

Kwan-Liu Ma Min Chen Baoquan Chen MichaelMeissner

Klaus Mueller

The Good Cards

wideacceptance

The Good Cards

wideacceptance

availabledata

The Good Cards

wideacceptance

availabledata

lots ofresearch

The Good Cards

wideacceptance

availabledata

lots ofresearch

speed(GPU)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Ten Issues at VG99• Storage (polys vs. voxels)• Effects (reflections, refractions, shadows)• Radiosity – is it easier/better with voxels? • Potential for modeling• Can the “Visible Human” walk?• Volume test data (a teapot with actual tea)• Role of image processing and computer vision• A stack of images is a volume (modeling)• Availability of real-time volume rendering• Penetration of volume graphics into other

disciplines (think Siggraph…)

Issues: Reality Check

• Storage (polys vs. voxels) storage (texture memory)

Issues: Reality Check

• Storage (polys vs. voxels) storage (texture memory)

• Effects (reflections, refractions, shadows) effects (illustrative volume rendering)

Issues: Reality Check

• Storage (polys vs. voxels) storage (texture memory)

• Effects (reflections, refractions, shadows) effects (illustrative volume rendering)

• Radiosity – is it easier/better with voxels? simulation of amorphous phenomena

Issues: Reality Check

• Storage (polys vs. voxels) storage (texture memory)

• Effects (reflections, refractions, shadows) effects (illustrative volume rendering)

• Radiosity – is it easier/better with voxels? simulation of amorphous phenomena

• Potential for modeling deformation with haptics

Issues: Reality Check• Storage (polys vs. voxels)

storage (texture memory)

• Effects (reflections, refractions, shadows) effects (illustrative volume rendering)

• Radiosity – is it easier/better with voxels? simulation of amorphous phenomena

• Potential for modeling deformation with haptics

• Can the “Visible Human” walk? Yes!

courtesy of D. Silver

Issues: Reality Check

• Volume test data (a teapot with actual tea) still not much, submit to volvis.org

Issues: Reality Check

• Volume test data (a teapot with actual tea) still not much, submit to volvis.org

• Role of image processing and computer vision much better understanding of filters, etc.

Issues: Reality Check

• Volume test data (a teapot with actual tea) still not much, submit to volvis.org

• Role of image processing and computer vision much better understanding of filters, etc.

• A stack of images is a volume video visualization

Issues: Reality Check

• Volume test data (a teapot with actual tea) still not much, submit to volvis.org

• Role of image processing and computer vision much better understanding of filters, etc.

• A stack of images is a volume video visualization

• Availability of real-time volume rendering GPUs !!!

Issues: Reality Check• Volume test data (a teapot with actual tea)

still not much, submit to volvis.org

• Role of image processing and computer vision much better understanding of filters, etc.

• A stack of images is a volume video visualization

• Availability of real-time volume rendering GPUs !!!

• Penetration of volume graphics into other disciplines (think Siggraph…)

3D textures, subsurface scattering, virtual voyage

New Issues

• User interfaces transfer functions are a pain

• Modeling tool surface splatting vs. volume splatting

• Large datasets are still a problem multi-variate, multi-valued ones, too

• Strides in segmentation are direly needed need to get features from the scanned datasets

• Better understanding of perceptional issues how can we best accentuate the features we find

Panelists… GO

Kwan-Liu Ma Min Chen Baoquan Chen MichaelMeissner

Ten Issues for 2005

1. Proof of reliability and accuracy2. Make interface more simple and less daunting3. Work closely with other disciplines4. Visual data mining and analysis5. Effective visualization, not so much exploratory6. Make more popular for target groups7. Incorporation of cognition and perception8. Usability9. Make it taste like beer10. Make it taste like a lobster

Ten Issues for 2005

1. Proof of reliability and accuracy2. Make interface more simple (create information interfaces)3. Work closely with other disciplines4. Visual data mining / analysis / feature extraction (segmentation)5. Effective / illustrative visualization, not so much exploratory6. Make more popular for target groups7. Incorporation of cognition and perception8 User study / validation / common framework for this9. Framework to integrate algorithms (VolumeShop Pro)10. Global illumination