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With the invention of integral imaging and parallax barriers in the beginning
of the 20th century, glasses-free 3D displays have become feasible.
Only today - more than a century later - glasses-free 3D displays are finally
emerging in the consumer market. The technologies being employed
in current-generation devices, however, are fundamentally the same as
what was invented 100 years ago. With rapid advances in optical fabrication,
digital processing power, and computational models for human
perception, a new generation of display technology is emerging: computational
displays exploring the co-design of optical elements and computational
processing while taking particular characteristics of the human visual
system into account. This technology does not only encompass 3D
displays, but also next-generation projection systems, high dynamic range
displays, perceptually-driven devices, and computational probes.
This course serves as an introduction to the emerging field of computational
displays. The pedagogical goal of this course is to provide the audience
with the tools necessary to expand their research endeavors by providing
step-by-step instructions on all aspects of computational displays:
display optics, mathematical analysis, efficient computational processing,
computational perception, and, most importantly, the effective combination
of all these aspects. Specifically, we will discuss a wide variety of
different applications and hardware setups of computational displays, including
high dynamic range displays, advanced projection systems as well
as glasses-free 3D display. The latter example, computational light field
displays, will be discussed in detail. In the course presentation, supplementary
notes, and an accompanying website, we will provide source code
that drives various display incarnations at real-time framerates, detailed
instructions on how to fabricate novel displays from off-the-shelf components,
and intuitive mathematical analyses that will make it easy for researchers
with various backgrounds to get started in the emerging field of
computational displays. We believe that computational display technology
is one of the "hottest" topics in the graphics community today; with this
course we will make it accessible for a diverse audience. While the popular,
introductory-level courses "Build Your Own 3D Displays" and "Build Your
Own Glasses-free 3D Display", previously taught at SIGGRAPH and SIGGRAPH
ASIA, discussed conventional 3D displays invented in the past,
this course introduces what we believe to be the future of display technology.
We will only briefly review conventional technology and focus
on practical and intuitive demonstrations of how an interdisciplinary approach to display design encompassing optics, perception, computation,
and mathematical analysis can overcome the limitations for a variety of
applications.
We will discuss all aspects of computational displays in detail. Specifically,
we begin by introducing the concept and discussing a variety of
example displays that exploit the joint-design of optical components and
computational processing for applications such as high dynamic range image
and wide color gamut display, extended depth of field projection, and
high-dimensional information display for computer vision applications.
We will then proceed to discussing state-of-the-art computational light field
displays in detail. In particular, we will focus on how high-speed displays,
multiple stacked LCDs, and directional backlighting combined with advanced
mathematical analysis and efficient computational processing provide
the foundations of 3D displays of the future. Finally, we will review
psycho-physiological aspects that are of importance for display design and
demonstrate how perceptually-driven computational displays can enhance
the capability of current technology.
For this intermediate-level course, some familiarity with Matlab, C/C++,
OpenGL, as well as a general understanding of linear algebra and Fourier
analysis is assumed, although the course also functions as a brief, application-
driven introduction to each of these tools.
G. Wetzstein, D. Lanman, D. Gutierrez, M. Hirsch. Computational Displays. ACM SIGGRAPH 2012 Course, 2012.
@misc{Wetzstein:2012:CDCourse,
author = {G. Wetzstein and D. Lanman and D. Gutierrez and M. Hirsch},
title = {{Computational Displays}},
howpublished = {ACM SIGGRAPH Course Notes},
year = {2012},
}
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Compressive Light Field Displays. [overview page]
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G. Wetzstein, D. Lanman, M. Hirsch, and R. Raskar. Tensor Displays:
Compressive Light Field Synthesis using Multilayer Displays with Directional Backlighting. ACM Transactions on Graphics (SIGGRAPH 2012), August 2012
[project page]
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D. Lanman, G. Wetzstein, M. Hirsch, W. Heidrich, and R. Raskar. Polarization Fields: Dynamic Light Field Display using Multi-Layer LCDs. ACM Transactions on Graphics (SIGGRAPH Asia 2011), December 2011
[project page]
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G. Wetzstein, D. Lanman, W. Heidrich, and R. Raskar. Layered 3D: Tomographic Image Synthesis for Attenuation-based Light Field and High Dynamic Range Displays. ACM Transactions on Graphics (SIGGRAPH 2011), August 2011
[project page]
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D. Lanman, M. Hirsch, Y. Kim, and R. Raskar. Content-Adaptive Parallax Barriers for Automultiscopic 3D Display. ACM Transactions on Graphics (SIGGRAPH Asia 2010), December 2010
[project page]
Gordon Wetzstein . MIT Media Lab
 | Bio:
Gordon Wetzstein is a Postdoctoral Researcher at the MIT Media Lab. His research interests include light field and high dynamic range displays, projector-camera systems, computational optics, computational photography, computer vision, computer graphics, and augmented reality. Gordon received a Diplom in Media System Science with Honors from the Bauhaus-University Weimar in 2006 and a Ph.D. in Computer Science at the University of British Columbia in 2011. His doctoral dissertation focuses on computational light modulation for image acquisition and display and won the Alain Fournier Ph.D. Dissertation Annual Award. He organized the IEEE CVPR 2012 Workshop on Computational Cameras and Displays and won a best paper award for "Hand-Held Schlieren Photography with Light Field Probes" at ICCP 2011, introducing light field probes as computational displays for computer vision and fluid mechanics applications. |
Douglas Lanman . Nvidia Research, formerly MIT Media Lab  | Bio:
Short Biography
Douglas Lanman is a Postdoctoral Associate at the MIT Media Lab. His research is focused on computational imaging and display systems, including light field capture, automultiscopic (glasses-free) 3D displays, and active illumination for 3D reconstruction. He received a B.S. in Applied Physics with Honors from Caltech in 2002 and M.S. and Ph.D. degrees in Electrical Engineering from Brown University in 2006 and 2010, respectively. Prior to joining MIT and Brown, he was an Assistant Research Staff Member at MIT Lincoln Laboratory from 2002 to 2005. Douglas has worked as an intern at Intel, Los Alamos National Laboratory, INRIA Rhones-Alpes, Mitsubishi Electric Research Laboratories (MERL), and the MIT Media Lab. He presented the "Build Your Own 3D Scanner" course at SIGGRAPH 2009 and SIGGRAPH Asia 2009 and the "Build Your Own 3D Display" course at SIGGRAPH 2010, SIGGRAPH 2011, and SIGGRAPH Asia 2010. |
Diego Gutierrez . Universidad de Zaragoza  | Bio:
Diego Gutierrez is a tenured Associate Professor at the Universidad
de Zaragoza, in Spain, where he leads the Graphics and Imaging Lab. His
research interests include applied perception in graphics and visualization,
global illumination and computational photography. Since 2006, he has
already presented eight courses at both SIGGRAPH conferences. He's
currently Papers Chair for EGSR 2012, and has previously chaired other international
conferences like APGV 2011. He has served on many Program
Committees, including SIGGRAPH, SIGGRAPH Asia and Eurographics,
and is also an Associate Editor of three journals (IEEE Computer Graphics
& Applications, ACM Transactions on Applied Perception and Computers
& Graphics). |
Matthew Hirsch . MIT Media Lab  | Bio:
Matthew Hirsch is a Ph.D. student at the MIT Media Lab. His research
focuses on imaging devices that enable new understanding and
interaction scenarios. He works with Henry Holtzman and Ramesh Raskar
in the Information Ecology and Camera Culture groups, respectively.
Matthew graduated from Tufts University in 2004 with a B.S. in Computer
Engineering. He worked as an Imaging Engineer at Analogic Corp.
from 2004 to 2007, where he designed threat detection algorithms for
computed tomography security scanners. He presented the "Build Your
Own Glasses-free 3D Display" course at SIGGRAPH 2011, and the "Build
Your Own 3D Display" course at SIGGRAPH 2010 and SIGGRAPH Asia
2010.
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