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D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
Computational Photography
Computational Photography
Wavefront Coding: 10X Depth of Field
Wavefront Coding: 10X Depth of Field
Wavefront Coding: 10X Depth of Field
Wavefront Coding: 10X Depth of Field
Integral Photography
Integral Photography
Integral Photography
Integral Photography
Georgeiv et al 2006
Georgeiv et al 2006
Georgeiv et al 2006
Georgeiv et al 2006
Light field photography using a handheld plenoptic camera
Light field photography using a handheld plenoptic camera
Light field photography using a handheld plenoptic camera
Light field photography using a handheld plenoptic camera
Conventional versus light field camera
Conventional versus light field camera
Conventional versus light field camera
Conventional versus light field camera
Conventional versus light field camera
Conventional versus light field camera
Conventional versus light field camera
Conventional versus light field camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
Prototype camera
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
Digital refocusing
Digital refocusing
Digital refocusing
Digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Example of digital refocusing
Extending the depth of field
Extending the depth of field
Extending the depth of field
Extending the depth of field
Extending the depth of field
Extending the depth of field
Extending the depth of field
Extending the depth of field
Novel Sensors
Novel Sensors
Novel Sensors
Novel Sensors
Novel Sensors
Novel Sensors
Foveon: All Colors at a Single Pixel
Foveon: All Colors at a Single Pixel
Foveon: All Colors at a Single Pixel
Foveon: All Colors at a Single Pixel
Foveon: All Colors at a Single Pixel
Foveon: All Colors at a Single Pixel
High Dynamic Range Images
High Dynamic Range Images
High Dynamic Range Images
High Dynamic Range Images
High Dynamic Range Images
High Dynamic Range Images
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Original Image Intensity values ranging from 0 to 1800 Intensity ramp
Camera Pipeline
Camera Pipeline
Detail Preserving
Detail Preserving
Detail Preserving
Detail Preserving
Detail Preserving
Detail Preserving
Quantization
Quantization
Quantization
Quantization
Quantization
Quantization
Quantization
Quantization
Demodulating Cameras
Demodulating Cameras
Demodulating Cameras
Demodulating Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
Demodulating Cameras
Demodulating Cameras
Demodulating Cameras
Demodulating Cameras
ZCam (3Dvsystems), Shuttered Light Pulse
ZCam (3Dvsystems), Shuttered Light Pulse
ZCam (3Dvsystems), Shuttered Light Pulse
ZCam (3Dvsystems), Shuttered Light Pulse
Graphics can inserted behind and between characters
Graphics can inserted behind and between characters
Graphics can inserted behind and between characters
Graphics can inserted behind and between characters
Canesta: Modulated Emitter
Canesta: Modulated Emitter
Line Scan Camera: PhotoFinish 2000 Hz
Line Scan Camera: PhotoFinish 2000 Hz
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
Fluttered Shutter Camera
Fluttered Shutter Camera
Fluttered Shutter Camera
Fluttered Shutter Camera
Figure 2 results
Figure 2 results
Rectified Image to make motion lines parallel to scan lines
Rectified Image to make motion lines parallel to scan lines
Approximate cutout of the blurred image containing the taxi
Approximate cutout of the blurred image containing the taxi
Approximate cutout of the blurred image containing the taxi
Approximate cutout of the blurred image containing the taxi
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
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D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
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D.2: Smart Optics, Modern Sensors and Future Cameras
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D.2: Smart Optics, Modern Sensors and Future Cameras
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D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
D.2: Smart Optics, Modern Sensors and Future Cameras
Perspective
Perspective
Perspective
Perspective
Perspective
Perspective
Perspective
Perspective
Multiperspective Camera
Multiperspective Camera
Multiperspective Camera
Multiperspective Camera
Multiperspective Camera
Multiperspective Camera
IEEE Computer Special Issue on Computational Photography
IEEE Computer Special Issue on Computational Photography
Computational Photography Panel Discussion
Computational Photography Panel Discussion
Computational Photography Panel Discussion
Computational Photography Panel Discussion
Computational Photography Panel Discussion
Computational Photography Panel Discussion
Computational Photography Panel Discussion
Computational Photography Panel Discussion
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1D.2: Smart Optics, Modern Sensors and 34between characters.
Future Cameras. Ramesh Raskar Mitsubishi 35Canesta: Modulated Emitter. Phase ~
Electric Research Labs. Course WebPage : distance Amplitude ~ reflectance.
http://www.merl.com/people/raskar/photo. 36Motion _ _.
2Computational Photography. Novel 37Line Scan Camera: PhotoFinish 2000 Hz.
Cameras. Generalized Sensor. Generalized 38
Optics. Processing. Light Sources. 39Fluttered Shutter Camera. Raskar,
3Future Directions. Scientific Imaging Agrawal, Tumblin Siggraph2006.
Tomography, Deconvolution, Coded Aperture 40Figure 2 results. Input Image.
Imaging Computational Illumination Light 41Rectified Image to make motion lines
stages, Domes, Light waving, Towards 8D parallel to scan lines.
Smart Optics Handheld Light field camera, 42Approximate cutout of the blurred
Programmable imaging/aperture Smart image containing the taxi (vignetting on
Sensors HDR Cameras, Gradient Sensing, left edge). Exact alignment of cutout with
Line-scan Cameras, Demodulators taxi extent is not required. Image
Speculations. Deblurred by solving a linear system. No
4Wavefront Coding: 10X Depth of Field. post-processing.
Traditional Lens: Defocus (‘circle of 43
confusion) dependent on distance from 44
plane of focus. 45
http://www.cdm-optics.com/site/extended_do 46
.php. 47
5Wavefront Coding: 10X Depth of Field. 48
Traditional Lens: Defocus dependent on 49
distance from plane of focus Cubic Phase 50
Plate Defocus nearly independent of 51
distance All points ‘blurred’ Deconvolve 52Novel Sensors. Color Foveon Dynamic
to get sharper image. Range HDR Camera, Log sensing Gradient
http://www.cdm-optics.com/site/extended_do sensing Identity Demodulation 3D ZCam,
.php. Canesta Motion Line scan Camera Flutter
6Integral Photography. Todor Georgeiv Shutter.
et al 2006. 53Perspective? Or Not? Rademacher et al,
7Georgeiv et al 2006. MCOP, Siggraph 1998. Agrawala et al, Long
8Light field photography using a Scene Panoramas, Siggraph 2006.
handheld plenoptic camera. Ren Ng, Marc 54Multiperspective Camera? [ Jingyi Yu’
Levoy, Mathieu Br?dif, Gene Duval, Mark 2004 ].
Horowitz and Pat Hanrahan. 55Fantasy Configurations. ‘Cloth-cam’:
9Conventional versus light field ‘Wallpaper-cam’ Fusion of 4D light
camera. emission and 4D capture in the surface of
10Conventional versus light field a cloth… Invisible cloak Floating Cam:
camera. Ad-hoc wireless networks form camera
11Conventional versus light field arrays in environment… Other ray sets:
camera. uv-plane. st-plane. Multilinear cameras (linear combination of
12Prototype camera. 4000 ? 4000 pixels ? 8 types) [Yu, McMillan’04, ’05].
292 ? 292 lenses = 14 ? 14 pixels per 56Computational Photography. Novel
lens. Contax medium format camera. Kodak Cameras. Generalized Sensor. Generalized
16-megapixel sensor. Optics. Processing. Novel Illumination. 4D
13 Incident Lighting. Ray Reconstruction. 4D
14Digital refocusing. ? refocusing = Ray Bender. Upto 4D Ray Sampler. 4D Light
summing windows extracted from several Field. Display. Scene: 8D Ray Modulator.
microlenses. Recreate 4D Lightfield. Light Sources.
15Example of digital refocusing. Modulators. Generalized Optics.
16Extending the depth of field. 57Goals. Capture-time Techniques
conventional photograph, main lens at f / Manipulating optics, illumination and
4. conventional photograph, main lens at f sensors Fusion and Reconstruction Beyond
/ 22. light field, main lens at f / 4, digital darkroom experience Improving
after all-focus algorithm [Agarwala 2004]. Camera Performance Better dynamic range,
17Future Directions. Scientific Imaging focus, frame rate, resolution Hint of
Tomography, Deconvolution, Coded Aperture shape, reflectance, motion and
Imaging Computational Illumination Light illumination Computational Imaging in
stages, Domes, Light waving, Towards 8D Sciences Applications Graphics, Special
Smart Optics Handheld Light field camera, Effects, Scene Comprehension, Art.
Programmable imaging/aperture Smart 58Acknowledgements. MERL, Northwestern
Sensors HDR Cameras, Gradient Sensing, Graphics Group Amit Agrawal Shree Nayar
Line-scan Cameras, Demodulators Marc Levoy Jinbo Shi Ankit Mohan, Holger
Speculations. Winnemoller Image Credits Ren Ng, Vaibhav
18Novel Sensors. Color Foveon Dynamic Vaish, William Bennet Fredo Durand, Aseem
Range HDR Camera, Log sensing Gradient Agrawala Morgan McGuire, Paul Debevec And
sensing Identity Demodulation 3D ZCam, more.
Canesta Motion Line scan Camera Flutter 59IEEE Computer Special Issue on
Shutter. Computational Photography.
19Foveon: All Colors at a Single Pixel. ftp://ieeecs:benefit@ftp.computer.org/mags
20High Dynamic Range. outgoing/computer/Aug06. Marc Levoy on
http://www.cybergrain.com/tech/hdr/. "Light Fields and Computational
Fuji's SuperCCD S3 Pro camera has a chip Imaging" Shree Nayar on
with high and low sensitivity sensors per "Computational Cameras: Redefining
pixel location to increase dynamic range. the Image" Paul Debevec on
21Gradient Camera. Sensing Pixel "Virtual Cinematography: Relighting
Intensity Difference with Locally Adaptive Through Computation" Michael F. Cohen
Gain Ramesh Raskar, MERL Work with Jack and Richard Szeliski on "The Moment
Tumblin, Northwestern U, Amit Agrawal, U Camera" Web:
of Maryland. www.computer.org/computer.
22High Dynamic Range Images. Intensity 60Computational Photography Mastering
camera fail to capture range Gradients New Techniques for Lenses, Lighting and
saturate at very few isolated pixels. Sensors. Ramesh Raskar and Jack Tumblin
Scene. Intensity camera saturation map. Book Publishers: A K Peters Siggraph 2006
Gradient camera saturation map. booth: 20% off Coupons 25% Off.
23Natural Scene Properties. Intensity. 61Siggraph 2006 Computational
Gradient. 105. 105. 1. 1. x. x. Intensity Photography Papers. Coded Exposure
Histogram. Gradient Histogram. 1. 105. Photography: Motion Deblurring Raskar et
-105. 105. al (MERL) Photo Tourism: Exploring Photo
24Original Image Intensity values Collections in 3D Snavely et al
ranging from 0 to 1800 Intensity ramp plus (Washington) AutoCollage Rother et al
low contrast logo. Intensity Camera Image (Microsoft Research Cambridge)
8 bit camera for 1:1000 range Problem: . Photographing Long Scenes With
saturation at high intensity regions. Multi-Viewpoint Panoramas Agarwala et al
Locally Adaptive Gain Pixel divided by the (University of Washington) Projection
average of local neighborhood. Thus the Defocus Analysis for Scene Capture and
low frequency contents are lost and only Image Display Zhang et al (Columbia
detail remains. Log Camera Image 8 bit log University) Multiview Radial Catadioptric
for 1:106 range Problem: Visible Imaging for Scene Capture Kuthirummal et
quantization effects at high intensities. al (Columbia University) Light Field
Gradient Camera Image In proposed method, Microscopy (Project) Levoy et al (Stanford
we sense intensity differences. We use a 8 University) Fast Separation of Direct and
bit A/D with resolution of log(1.02) to Global Components of a Scene Using High
capture 2% contrast change between Frequency Illumination Nayar et al
adjacent pixels. Notice that the details (Columbia University). Hybrid Images Oliva
at both high and low intensities are et al (MIT) Drag-and-Drop Pasting Jia et
captured. al (MSRA) Two-scale Tone Management for
25Gradient Camera. Two main features Photographic Look Bae et al (MIT)
Sense difference between neighboring pixel Interactive Local Adjustment of Tonal
intensity At each pixel, measure (?x , ?y Values Lischinski et al (Tel Aviv)
) , ?x = Ix+1,y - Ix,y , ?y = Ix,y+1 - Image-Based Material Editing Khan et al
Ix,y With locally adaptive gain Gradient (Florida) Flash Matting Sun et al
camera is very similar to locally adaptive (Microsoft Research Asia) Natural Video
gain camera Locally Adaptive Gain Camera Matting using Camera Arrays Joshi et al
Gain is different for each pixel Problem: (UCSD / MERL) Removing Camera Shake From a
Loses low frequency detail and preserves Single Photograph Fergus (MIT).
only high frequency features (edges) 62Computational Photography. Course
Gradient Camera The gain is same for four WebPage
adjacent pixels Difference between two http://www.merl.com/people/raskar/photo
pixels is measured with same gain on both Source Code, Slides, Bibliography, Links
pixels Reconstruct original image in and Updates Google: “siggraph 2006
software from pixel differences by solving computational photography”.
a linear system (solving Poisson 63Schedule. 8:30 Introduction (Raskar)
Equation). 8:35 Photographic Signal & Film-like
26Camera Pipeline. On-board Hardware. Photography (Tumblin) 9:15 Image Fusion
Software. Difference between pixels. Local and Reconstruction (Tumblin) 9:35
gain adaptive to difference. 2D Computational Camera: Optics+Software
Integration to reconstruct the image. (Nayar) 10:15 Break 10:30 Computational
27Detail Preserving. Intensity cameras Imaging in the Sciences (Levoy) 11:10
capture detail but lose range. Log cameras Computational Illumination (Raskar) 11:45
capture range but lose detail. Intensity Smart Optics and Sensors (Raskar) 11:45
Camera. Log Intensity Camera. Gradient Panel Discussion (Nayar, Levoy, Raskar,
Camera. Tumblin). Course Page :
28Quantization. Intensity Histogram. 1. http://www.merl.com/people/raskar/photo.
105. Gradient Histogram. Original Image. 64Computational Photography Panel
Uniform quantization 3 bits. -105. 105. Discussion. Levoy (Stanford). Nayar
GradCam requires fewer bits In the (Columbia). Raskar (MERL). Tumblin
reconstructed image, error is pushed to (Northwestern).
high gradient pixel positions which is 65Computational Photography Panel
visually imperceptible. Log Uniform Discussion.
quantization 3 bits. Log Uniform gradients 66Computational Photography Panel
quantization 3 bits. Discussion.
29Demodulating Cameras. Simultaneously 67Dream of A New Photography. Old New
decode signals from blinking LEDs and get People and Time ~Cheap Precious Each photo
an image Sony ID Cam Phoci Motion Capture Precious Free Lighting Critical Automated?
Cameras Visualeyez™ VZ4000 Tracking System External Sensors No Yes ‘Stills / Video’
PhaseSpace motion digitizer. Disjoint Merged Exposure Settings
30 Pre-select Post-Process Exposure Time
31Demodulating Cameras. Decode signals Pre-select Post-Process Resolution/noise
from blinking LEDs + image Sony ID Cam Pre-select Post-Process ‘HDR’ range
Phoci Motion Capture Cameras. Pre-select Post-Process.
323D Cameras. Time of flight ZCam 68Computational Photography. Novel
(Shuttered Light Pulse) Phase Decoding of Cameras. Generalized Sensor. Generalized
modulated illumination Canesta (Phase Optics. Processing. Novel Illumination. 4D
comparison) Phase difference = depth Incident Lighting. Ray Reconstruction. 4D
Magnitude = reflectance Structured Light Ray Bender. Upto 4D Ray Sampler. 4D Light
Binary coded light and triangulation. Field. Display. Scene: 8D Ray Modulator.
33ZCam (3Dvsystems), Shuttered Light Recreate 4D Lightfield. Light Sources.
Pulse. Resolution : 1cm for 2-7 meters. Modulators. Generalized Optics.
34Graphics can inserted behind and
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«Производство гранул» - Приём, хранение подготовка сырья. Сравнение ценовых характеристик энергоносителей. Оценка сырьевой базы: рекомендации. Малые и средние котельные. Что дают гранулы потребителям? Сырьевая база – решающая предпосылка успеха биотопливного завода. Объем частных инвестиций с 2001 года – более 250 млн. евро.

«Газо-вихревые биореакторы» - Газо-вихревые биореакторы принципиально новый класс аппаратов. Характеристики газо-вихревых безградиентных биореакторов. Президент Республики Казахстан Н.А. Назарбаев осматривает газо-вихревой биореактор. ( замена роллерных технологий)? Закрытое акционерное общество «Саяны» 630058, г. Новосибирск, ул.

«Лакротэн» - Оргхимпром Производство акриловых дисперсий. «Фоновая краска» белая для печати по ДВП. Фоновый слой текстурный слой слой прозрачного лака. Массовая доля нелетучих веществ, % 54 рН ок.9 Объемная концентрация пигмента. % 59. Комбинация «мягкого» и «жесткого» полиакрилата обеспечивает: Сравнительные свойства ЛКМ для отделки ДВП на основе дисперсий «Лакротэн».

«ТНК программа» - Как работает программа ? Кто может участвовать в программе? Общий банк данных НТД. Общий сервер. Руководитель программы Наставники программы. Технический / функциональный лидер. Стажировки на объектах. Цдо. Технический эксперт. Типовая карта карьерного роста и профессионального развития МС. По. Стажировка.

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