This document summarizes research conducted on developing an aperture partitioning optic using four articulating mirrors positioned using piezo-ceramic actuators. Testing characterized the open-loop behavior of the actuators and explored methods to detect errors in mirror configuration. It was found that the actuators behaved as expected with hysteresis and creep within tolerable levels. Detecting piston and tilt errors was most effective using an annular intensity mask in the focal plane data, which could then be used to correct the mirror positions. With the piezo behavior characterized and an error detection method identified, the optic device can be used to improve satellite imagery quality.
Lasers in ophthalmology - Dr. Parag Apteparag apte
A full presentation of one hour of all types of lasers in ophthalmology for under graduates and post graduates after going through all the uploaded slides till today. This includes laser photocoagulation, laser iridotomy, and laser capsulotomy in detail
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paper link: https://arxiv.org/pdf/2003.12039.pdf
video link: https://youtu.be/OnZIDatotZ4
이번에 다룰 논문은 "Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation"이라는 논문입니다. 얼마 전에 발표드렸던 FlowNet 논문처럼 이 논문도 Deep Learning을 통해 Optical Flow를 학습하는 방법입니다. 다른 점이 하나 있다면, Unsupervised 방식으로 학습이 진행된다는 점입니다. Supervised 방식 만큼이나 Unsupervised 방식으로 Optical Flow를 학습하는 연구 역시 이미 많이 진행이 되어 왔는데요, 오늘 소개 드릴 논문에서는 Data Augmentation을 통한 Consistency를 활용하여 성능을 높이는 방식을 채용한 경우를 소개드리고자 합니다.
영상 링크: 이번에 다룰 논문은 "Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation"이라는 논문입니다. 얼마 전에 발표드렸던 FlowNet 논문처럼 이 논문도 Deep Learning을 통해 Optical Flow를 학습하는 방법입니다. 다른 점이 하나 있다면, Unsupervised 방식으로 학습이 진행된다는 점입니다. Supervised 방식 만큼이나 Unsupervised 방식으로 Optical Flow를 학습하는 연구 역시 이미 많이 진행이 되어 왔는데요, 오늘 소개 드릴 논문에서는 Data Augmentation을 통한 Consistency를 활용하여 성능을 높이는 방식을 채용한 경우를 소개드리고자 합니다.
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동영상 링크: https://youtu.be/WXGqYbKQzWY
Lasers in ophthalmology - Dr. Parag Apteparag apte
A full presentation of one hour of all types of lasers in ophthalmology for under graduates and post graduates after going through all the uploaded slides till today. This includes laser photocoagulation, laser iridotomy, and laser capsulotomy in detail
PR-278: RAFT: Recurrent All-Pairs Field Transforms for Optical FlowHyeongmin Lee
이번 논문은 ECCV2020에서 Best Paper를 받은 논문으로, 기존 방법들과는 다르게 반복적인 Update를 통해 Optical Flow를 예측하여 꽤나 높은 성능을 기록한 논문입니다.
paper link: https://arxiv.org/pdf/2003.12039.pdf
video link: https://youtu.be/OnZIDatotZ4
이번에 다룰 논문은 "Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation"이라는 논문입니다. 얼마 전에 발표드렸던 FlowNet 논문처럼 이 논문도 Deep Learning을 통해 Optical Flow를 학습하는 방법입니다. 다른 점이 하나 있다면, Unsupervised 방식으로 학습이 진행된다는 점입니다. Supervised 방식 만큼이나 Unsupervised 방식으로 Optical Flow를 학습하는 연구 역시 이미 많이 진행이 되어 왔는데요, 오늘 소개 드릴 논문에서는 Data Augmentation을 통한 Consistency를 활용하여 성능을 높이는 방식을 채용한 경우를 소개드리고자 합니다.
영상 링크: 이번에 다룰 논문은 "Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation"이라는 논문입니다. 얼마 전에 발표드렸던 FlowNet 논문처럼 이 논문도 Deep Learning을 통해 Optical Flow를 학습하는 방법입니다. 다른 점이 하나 있다면, Unsupervised 방식으로 학습이 진행된다는 점입니다. Supervised 방식 만큼이나 Unsupervised 방식으로 Optical Flow를 학습하는 연구 역시 이미 많이 진행이 되어 왔는데요, 오늘 소개 드릴 논문에서는 Data Augmentation을 통한 Consistency를 활용하여 성능을 높이는 방식을 채용한 경우를 소개드리고자 합니다.
PR-240: Modulating Image Restoration with Continual Levels viaAdaptive Featu...Hyeongmin Lee
이번 논문은 Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers로, Image Processing을 위해 학습된 Network가 여러 Noise Level에 대하여 동작할 수 있도록 Control 가능한 Parameter를 추가하는 방법론을 소개하는 논문입니다.
동영상 링크: https://youtu.be/WXGqYbKQzWY
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-IOL formula
1st generation formula : SRK, Binkhost
2nd generation formula : SRK II
3rd generation formula: Hoffer Q, Holladay 1, SRK/T
4th generation formula: Haigis, Holladay 2, Olsen
-The Hoffer Q, Holladay I, and SRK/T formula are all commonly used.
Biometry- Iol power and calculation final ppt.pptxKervi Mehta
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This presentation describes about different generations of IOL formulae and newer formulae. It also gives information how to calculate IOL power in special situations
This include a brief explanation of the clinical refraction methods in the eye examination procedure. In order to get the full video download the ppt. it includes a lot of important things
1. Developing an Aperture
Partitioning Optic
Air Force Research Laboratory
Kourtney Kehr
University of Colorado at Boulder
Mentors: Dr. Brandoch Calef,
Dr. Steven Griffin,
and Dr. Jeremy Bos
2. Background
• An automated aperture partitioning optic with four separate
articulating mirrors is being developed for improving
daylight imagery of satellites.
Aperture
Partitioning
Optic
3. Optic Components
• The mirror positions are adjusted by controlling the
voltages on piezo-ceramic stack actuators
positioned behind each of the mirrors.
Image from PI USA
Mirror 1
Mirror 2
Mirror 4
Mirror 3
Piezo-Ceramic Actuators
Δx
Δx
Δx
θ
4. Objectives
Problem 1
• Determine if the open-
loop behavior of the
piezo-ceramic actuators
under an applied voltage
is adequate for
positioning.
Problem 2
• Determine a way to
detect errors in the
configuration of each
mirror so the mirrors may
then be moved into the
correct position.
5. How Piezo-Ceramics Work
• Inverse piezoelectric effect
• Electrical Energy → Mechanical Energy
• Ferroelectric polarization used to make the ceramic
microscopically piezoelectric
• The aligning of electric dipoles in the direction of the applied strong electric DC field
a) unpolarized,
ferroelectric
ceramic
c) after polingb) during poling
7. Hysteresis Loop
• Hysteresis:
the phenomenon in
which the value of a
physical property
lags behind
changes in the
effect causing it.
• Behaved as
expected.
• Adequate for
positioning.
8. Piezo-Ceramic Creep
• The creep of
the piezo over
a 10 minute
period was
observed to be
less than
approximately
0.5 μm, taking
into account the
noise effect on
the data.
*Data collected at a constant voltage input of 0.
9. Problem 2: Moving the Mirrors
• The four articulating mirrors of the annular adjustment optic
will be moved into different configurations to produce images
of the same object with different parts of the pupil.
Δx
Δx
Δx
θ
11. Visualizing OPD Variation
One Mirror vs.
Two Mirrors
• Optical Path
Difference (OPD)
variation has no
effect on the
images produced
when one mirror is
used, but does
have an effect
when two mirrors
are modeled. Two Mirrors
One Mirror
OPD=0 OPD=100
OPD=100OPD=0
14. OPD Variation Graphically
Intensity Ring
• Although
piston error
can be seen in
the image
plane with the
full pupil, it is
much more
easily seen by
putting an
annular mask
at the pupil.
15. Full Circle Mask vs. Annular
Full Circle Intensity Mask Annular Intensity Mask
• There is a larger variation seen graphically when an annular
intensity mask is used, rather than a full circle mask at the pupil.
16. Conclusions and Future Work
Problem 1
• The piezo-ceramic actuators
behaved according to a hysteresis
loop as expected.
• The hysteresis loop can now be
characterized, and from this
characterization, control voltages
for each desired displacement can
be obtained.
Problem 2
• It was observed that the piston
and tilt error can be measured in
the focal plane data best with an
annular intensity mask.
• The errors measured in the focal
plane data can then be corrected
by adjusting the actuators.
With the behavior of the piezo ceramic actuators determined and a
method found for detecting error in the mirror configurations the
optic device can be used effectively and efficiently to improve the
quality of daylight imagery of satellites.
17. Acknowledgements
Akamai is led and managed by the Institute for Scientist & Engineer Educators at the University of California Santa
Cruz, in partnership with the University of Hawai‘i Institute for Astronomy. Funding for the 2015 Akamai Internship and
Mentor Program is provided by: Thirty Meter Telescope International Observatory, THINK Fund at the Hawaii
Community Foundation, University of Hawai‘i System, University of Hawai‘i at Hilo, National Science Foundation
(AST#1347767), and National Solar Observatory.
Dr. Brandoch Calef,
Dr. Steven Griffin,
Dr. Jeremy Bos,
and
Christopher Shurilla
19. Hysteresis Loops
• The frequency
and wave
shape of the
voltage input
had little effect
on the
hysteresis
loop.
Sine Wave Voltage Input, 0.25 Hz frequency Triangle Wave Voltage Input, 0.25 Hz frequency
Sine Wave Voltage Input, 0.5 Hz frequency Triangle Wave Voltage Input, 0.5 Hz frequency
20. Visualizing OPD Variation
Two Mirrors
• OPD (Optical
Path Difference)
variation and
radius has an
effect on the
image when two
mirrors are used.
r=8, OPD=0 r=8, OPD=100
r=32, OPD=0
r=16, OPD=0 r=16, OPD=100
r=32, OPD=100
r=64, OPD=0
r=64, OPD=100
21. Visualizing OPD Variation
Intensity Ring
• The width of
the intensity
ring as well
as the OPD
does affect
the image
produced.
d=10, OPD=0
d=8, OPD=0
d=6, OPD=0 d=6, OPD=100
d=8, OPD=100
d=10, OPD=100
d=4,
OPD=0
d=4,
OPD=100
d=2,
OPD=100
d=2,
OPD=0
22. Visualizing OPD Variation
Full Circle
Intensity vs.
Intensity Ring
• OPD variation has
a greater effect on
the images
produced when an
annular mask is
used instead of a
full circle for the
intensity.
Annular Intensity Mask
Full Circle Intensity Mask
OPD=0 OPD=100
OPD=100OPD=0