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| PhotoTechEDU Day 30: Imaging optics for the next decade |
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Google Tech Talks
November, 7 2007
Digital cameras in their many forms will
continue to be one of the
primary drivers towards new technologies in
optics as well as
improvements of classical technologies. This
has been well illustrated
in the past 5-10 years which has seen, for
example, the development of
compression molded glass aspheric lenses for
improved performance and
packaging. The incorporation of injection
molded plastic lenses and
possibly hybrid refractive/diffractive
surfaces will grow.
Furthermore, as the trend continues towards
smaller pixels as well as
more pixels in a given sensor, the imaging
optics will be further
driven towards higher image quality. Zoom
lenses will increase in
their zoom range, yet there will be a
continuing emphasis towards
smaller and smaller packaging. The optics and
their associated
mechanics will need to be more robust with
respect to stray light such
as flare, glare, ghost images, and other
undesirable image anomalies.
And our optics must be more robust with
respect to environmental
effects such as thermal soaks and gradients.
And with all of the
above, customers will want lower cost too. It
is going to be a fun
ride over the next 5-10 years so fasten your
seat belt and hold on
real tight to the safety bar!
Speaker: Robert E. Fischer, CEO OPTICS 1,
Inc. Westlake Village, CA
Bob Fisher is CEO of Optics 1, a past
president of the SPIE, and a
winner of that society's highest award, the
Gold Medal for outstanding
engineering or scientific accomplishments in
optics andelectro-optics.
Mr. Fischer's technical interests are in
optical system design and
engineering, in particular lens design. He
is also interested in
optical component and system manufacturing,
assembly, and testing.
His interests extend from the deep UV through
the visible and on to
the thermal infrared. He is known for his
tireless efforts to advance
optical science, engineering and scholarship.
He served as a book
editor of the McGraw-Hill Series on Optical
and Electro-Optical
Engineering, and as executive editor of OE
Reports, bringing timely
and practical information to professionals in
the field.
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 4454
Durée : 3288 s |
| Some Statistical Problems in Spectroscopy and Hyperspectral Imaging |
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Google Tech Talks
July 23, 2008
ABSTRACT
Every material has a distinctive spectrum.
The spectrum of a material tells us about its
chemistry. Hyperspectral images produce a
spectrum (represented as several hundred
numbers) at each pixel in an image. So
hyperspectral images enable us to map
variations in chemistry.
The first hyperspectral scanners, built in
the 1980's and 1990's, were designed for
airborne applications, primarily for mineral,
environmental and military applications.
However, in recent years, hyperspectral
microscopes and cameras have been developed
and are being used for terrestrial
applications in areas such as medical
diagnosis, burns analysis and skin cancer,
biosecurity, pharmaceuticals, forensics and
in agribusiness.
A significant issue in hyperspectral imaging
is that the spectra at many pixels in an
image are actually mixtures of the spectra of
the pure ingredients. My main focus over a
number of years has been on developing fast
and sophisticated algorithms and software for
"unmixing" these spectra into their pure
ingredients, both when the pure ingredients
are known and when they are unknown. This has
resulted in two software packages:
The Spectral Assistant (TSA), which has been
incorporated into another CSIRO package, The
Spectral Geologist, which itself has been
sold to over 100 (mainly exploration and
mining) companies around the world; and
Iterated Constrained Endmembers (ICE), which
has yet to be commercialized.
I will give an overview of the algorithms
underlying TSA and ICE, and demonstrate their
application to some mineral, remotely sensing
and biological data sets. Finally, I will
discuss some unsolved statistical and
computational problems associated with these
packages.
Speaker: Mark Berman
Mark Berman received the B.Sc.(Hons.) degree
and University Medal in mathematical
statistics from the University of New South
Wales in 1974, and the Master of Statistics
degree from the same institution in 1976. In
1978, he was awarded the Ph.D. and D.I.C.
degrees in mathematical statistics by the
Imperial College of Science and Technology,
London.
He was a visiting lecturer in the Department
of Statistics at the University of
California, Berkeley during 1978-1979. Most
of his time since then has been with the
CSIRO Division of Mathematical and
Information Sciences (CMIS), Sydney, where he
is now a Chief Research Scientist. He led
CMIS' Image Analysis Group from 1989 to 2000.
He spent 1988 at the Melbourne Research
Laboratories of Broken Hill Proprietary Ltd.
where he established the Image Processing and
Data Analysis Group. His research interests
are in image analysis (especially
hyperspectral), spectroscopy and spatial data
analysis.
Since 2007, Dr. Berman has been working part
time at CMIS. During this period, he has also
given Ph.D courses in spectroscopy and
hyperspectral image analysis at the Technical
University of Denmark and Stanford
University.
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 2170
Durée : 3530 s |
| PhotoTechEDU Day 8: Diffraction and Interference in Imaging |
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Google Tech Talks
March 14, 2007
ABSTRACT
Photographic Technology Day 8: This session
addresses effects of the wave nature of
light. This approach will allow us to talk
about the phenomena of interference as well
as diffraction. The understanding of the
notion of diffraction will be used to
determine the Rayleigh criteria and finally
the resolving power of an optical system. In
the second part of the lecture, we will study
gratings using the wave approach. An example
of an amateur spectroscope for astronomy
using a reflective grating will be shown.
Credits: Speaker:Rom Clement
Tags : google howto phototechedu day diffraction |
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Affichage : 2479
Durée : 3286 s |
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