Campus Event Calendar
Event Entry
What and Who
Multi-scale appearance for realistic and efficient rendering of complex surfaces
Eric Heitz
KIT Karlsruhe
AG4 Talk
AG 2, AG 4, RG1, MMCI
Public Audience
English
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Date, Time and Location
Tuesday, 18 November 2014
11:00
60 Minutes
E1 4
019
Saarbrücken
Abstract
Efficient rendering of realistic and complex scenes is a major challenge
for image synthesis. In the field of photorealistic rendering, the image
is computed by simulating the physical interactions between the light
and the content of the scene. Nowadays, production studios don't create
simple scenes for their movies, but gigantic and extremely detailed
worlds. This exponential rise of complexity is responsible for
scalability problems. The amount of data and the complexity of the
interactions are such that computing the image has become unreasonably
costly, and this even on the most powerful computers. In the field of
real-time rendering, the objective of photorealism is less pushed on,
but the problem posed by the complexity resides in the amount of
subpixel details. They are the source of artefacts like aliasing,
popping and inconsistent changes of appearances.
Subpixel details influence appearance at the level of the pixel and
cannot just be removed. Indeed, the transition from pixel to subpixel
during a zoom requires recovering the emerging visual effects with high
accuracy. Hence, using a multi-scale strategy, in which subpixel details
are represented like surface material, is a natural solution to this
scalability problem. However, existing multi-scale models are mostly
empirical and approximate. They are not designed to handle complex
scenes and fail at recovering the correct appearance; they don't satisfy
the requirements for photorealistic quality demanded in production.
However, it is possible to design efficient and high-quality multi-scale
rendering algorithms. This can be done by modeling rigorously the
problem of filtering the appearance at the level of the pixels. In this
presentation, I will present this idea in the case of detailed surfaces,
for which I introduce and revisit the theoretical background provided by
microfacet theory.
for image synthesis. In the field of photorealistic rendering, the image
is computed by simulating the physical interactions between the light
and the content of the scene. Nowadays, production studios don't create
simple scenes for their movies, but gigantic and extremely detailed
worlds. This exponential rise of complexity is responsible for
scalability problems. The amount of data and the complexity of the
interactions are such that computing the image has become unreasonably
costly, and this even on the most powerful computers. In the field of
real-time rendering, the objective of photorealism is less pushed on,
but the problem posed by the complexity resides in the amount of
subpixel details. They are the source of artefacts like aliasing,
popping and inconsistent changes of appearances.
Subpixel details influence appearance at the level of the pixel and
cannot just be removed. Indeed, the transition from pixel to subpixel
during a zoom requires recovering the emerging visual effects with high
accuracy. Hence, using a multi-scale strategy, in which subpixel details
are represented like surface material, is a natural solution to this
scalability problem. However, existing multi-scale models are mostly
empirical and approximate. They are not designed to handle complex
scenes and fail at recovering the correct appearance; they don't satisfy
the requirements for photorealistic quality demanded in production.
However, it is possible to design efficient and high-quality multi-scale
rendering algorithms. This can be done by modeling rigorously the
problem of filtering the appearance at the level of the pixels. In this
presentation, I will present this idea in the case of detailed surfaces,
for which I introduce and revisit the theoretical background provided by
microfacet theory.
Contact
Ellen Fries
9325-4003
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Ellen Fries, 11/12/2014 09:43 -- Created document.