UTCS Colloquium: Ganesh Ramanarayanan/Cornell University: Visual Equivalence - A New Standard of Image Fidelity for Computer Graphics ACES 6.304 Friday September 19 2008 3:00 p.m.
Speaker/Affiliati
on: Ganesh Ramanarayanan/Cornell University
Date/Time: Friday Sep
tember 19 2008 3:00 p.m.
Location: aCES 6.304
Host: Keshav
Pingali
Talk Title: Visual Equivalence - A New Standard of
Ima
ge Fidelity for Computer Graphics
Talk Abstract:
Determining the
visual fidelity of an image is a
fundamental problem in computer graph
ics. When
is an image good enough; i.e. when does it convey
a conv
incing representation of a scene? Most graphics
algorithms either aim t
o compute a physically accurate
solution matching the real world or th
ey leave judgments
of fidelity entirely up to the end user. The former
is often
computationally intractable and the latter is ad-hoc since it cannot be generalized or predicted.
In this talk I will introd
uce our work charting a new course
between these two approaches. We pro
pose visual equivalence
a new standard of image fidelity that focuses
on what is visually
important to the observer: the appearance of the sc
ene consisting
of impressions of shapes materials and lighting. Unde
r visual
equivalence an image with noticeable pixel-by-pixel differen
ces
from a perfect reference can still be a high fidelity representatio
n
of the same scene provided it conveys the same impression of
app
earance. Our work is to our knowledge the first approach to
image fid
elity that permits judgments of this kind.
I will present an end-to-
end psychophysical and algorithmic
investigation of visual equivalence
and its impact on scene
modeling and rendering in computer graphics. F
or natural
illumination we measure the degree to which representations
of lighting can be manipulated without affecting object appearance. We demonstrate how the resulting metrics can motivate new
rendering a
lgorithms for scalable rendering and compression. For
complex aggregate
geometry we investigate how different
combinations of object shapes a
nd colors affect appearance
and derive thresholds that can be used to
reduce scene complexity.
This research takes some important first steps
into a large new
space of perceptually based graphics to address funda
mental
challenges in modeling and rendering complex scenes.
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