|
Acquiring Scattering
Properties of Participating Media by Dilution
|
| Srinivasa G. Narasimhan (CMU) | Mohit Gupta (CMU) |
Craig Donner (UCSD) |
| Ravi Ramamoorthi (Columbia University) |
Shree Nayar (Columbia University) |
Henrik Wann Jensen (UCSD) |
|

|
|
The visual world
around us displays a rich set of volumetric effects due to participating
media. The appearance of these media is governed by several physical
properties such as particle densities, shapes and sizes, which must be
input (directly or indirectly) to a rendering algorithm to generate realistic
images. While there has been significant progress in developing rendering
techniques (for instance, volumetric Monte Carlo
methods and analytic approximations), there are very few methods that
measure or estimate these properties for media that are of relevance to
computer graphics. In this paper, we present a simple device and technique
for robustly estimating the properties of a broad class of participating
media that can be either (a) diluted in water such as juices, beverages,
paints and cleaning supplies, or (b) dissolved in water such as powders and
sugar/salt crystals, or (c) suspended in water such as impurities. The key
idea is to dilute the concentrations of the media so that single scattering
effects dominate and multiple scattering becomes negligible, leading to a
simple and robust estimation algorithm. Furthermore, unlike previous
approaches that require complicated or separate measurement setups for
different types or properties of media, our method and setup can be used to
measure media with a complete range of absorption and scattering properties
from a single HDR photograph. Once the parameters of the diluted medium are
estimated, a volumetric Monte Carlo
technique may be used to create renderings of any medium concentration and
with multiple scattering. We have measured the scattering parameters of
forty commonly found materials, that can be
immediately used by the computer graphics community. We can also create
realistic images of combinations or mixtures of the original measured
materials, thus giving the user a wide flexibility in making realistic
images of participating media.
|
Publications
"Acquiring Scattering Properties of
Participating Media by Dilution,"
S.G. Narasimhan, M. Gupta, C. Donner,
R. Ramamoorthi, S.K. Nayar
and H.W. Jensen,
ACM Transactions on Graphics (SIGGRAPH 2006),
August, 2006.
[PDF]
|
Pictures
|

|
|
Experimental
Setup:
This picture shows the measurement apparatus used in our experiments. The
25 cubic cm tank is made of transparent
anti-reflection coated glass and contains the scattering medium (for
example, dilute milk). The material was illuminated by a small frosted
bulb fixed to the side of the tank. A 12-bit Canon EOS-20D digital camera
was used to capture approximately orthographic images of the tank.
|
|

|
|
Original Photographs of
Dominantly Scattering Materials:
The acquired images of the diluted set of
liquids are indicative of the scattering properties of the corresponding
media: for example, highly scattering media show a glow around the bulb
– heavy scattering results in blurring of the bulb image. The
extent of blurring is proportional to the amount of scattering exhibited
by the medium.
|
|

|
|
Original Photographs of
Dominantly Scattering Materials:
Colored bulb image and absence of glow signify
highly absorbing media – the color of the bulb is an indicator of
the relative properties across different color channels – red,
green and blue.
|
|

|
|
Estimation Quality:
Here we compare
plots of captured image brightness to profiles reconstructed using the
estimated parameters. The accuracy of fits for a variety of media, having
a wide range of scattering and absorption properties, indicates accurate
estimation of parameters for all three color channels – red, green
and blue.
|
|
Renderings
The estimated parameters can be readily used to
render photo-realistic images at arbitrary concentrations of the materials
with multiple scattering, using a standard physics based volumetric
rendering algorithm. These images
have been rendered using Volumetric Monte-Carlo Path Tracing algorithm.
|

|
|
Renderings: Strongly
Absorbing Materials
A set of strongly absorbing
liquids are lit by a single directional source in order to highlight the
bright caustics. Caustic effects are created using Photon Mapping. Notice
the bright color of the caustics and the liquid itself, characteristic of
strongly absorbing media. The images have been tone-mapped to reproduce
the full dynamic range visible to the human eye.
|
|

|
|
Renderings: Dissolved Powders
Similarly, powdered materials dissolved in
water can be rendered using the recovered parameters. Minor noise in the
renderings is due to Monte-Carlo Under-sampling.
|
|

|
|
Renderings: with "Kitchen"
Environment Map
In daily life, participating media are usually
viewed in complex lighting environments. These renderings use Debevec et al’s kitchen environment map to
reproduce realistic appearance of many liquids. Notice the bright red
color of Merlot wine, and the soft yellow of chardonnay.
|
|

|
|
Renderings: Blending
Materials
By mixing parameters for materials -- milk and
espresso in this case, we can obtain the light brown color of light
coffee. Note that a simple interpolation of images doesn’t produce
the desired result.
|
|
Videos
|

|
|
Transition
between Materials:
By
scaling and blending scattering parameters, we can freely adjust material
concentration, and interpolate between measured materials, simulating
their mixture. This video shows the gradual transition from wine to water
to milk to espresso.
|
|

|
|
Increasing
Material Concentrations:
For
each media, we capture images at several different degrees of dilution. This
video shows the scattering and absorption effects as the concentrations
of wine and milk are increased in our experimental apparatus. Milk is a
highly scattering medium. Hence we observe an increase in blurring with
increasing concentration. On the other hand, Red wine is a highly
absorbing liquid, showing only a saturation of the bulb color with
increasing concentration, and no blurring.
|
|
|