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Course 3: Computational Photography
Course 3: Computational Photography
Course 3: Computational Photography
Course 3: Computational Photography
Welcome
Welcome
Goals
Goals
Speaker: Jack Tumblin
Speaker: Jack Tumblin
Speaker: Ramesh Raskar
Speaker: Ramesh Raskar
Opportunities
Opportunities
Traditional Photography
Traditional Photography
Computational Photography: Optics, Sensors and Computations
Computational Photography: Optics, Sensors and Computations
Computational Photography
Computational Photography
Computational Photography
Computational Photography
Computational Photography
Computational Photography
Computational Photography
Computational Photography
Computational Photography
Computational Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
A Teaser: Dual Photography
The 4D transport matrix: Contribution of each projector pixel to each
The 4D transport matrix: Contribution of each projector pixel to each
The 4D transport matrix: Contribution of each projector pixel to each
The 4D transport matrix: Contribution of each projector pixel to each
The 4D transport matrix: Which projector pixel contribute to each
The 4D transport matrix: Which projector pixel contribute to each
Dual photography from diffuse reflections
Dual photography from diffuse reflections
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
A Brief History of Images
Dream of A New Photography
Dream of A New Photography
Survey
Survey
Schedule
Schedule

Презентация: «Course 3: Computational Photography». Автор: . Файл: «Course 3: Computational Photography.ppt». Размер zip-архива: 2283 КБ.

Course 3: Computational Photography

содержание презентации «Course 3: Computational Photography.ppt»
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1 Course 3: Computational Photography

Course 3: Computational Photography

Ramesh Raskar Mitsubishi Electric Research Labs Jack Tumblin Northwestern University

Course WebPage : http://www.merl.com/people/raskar/photo

2 Course 3: Computational Photography

Course 3: Computational Photography

Course WebPage http://www.merl.com/people/raskar/photo

Course Evaluation http://www.siggraph.org/courses_evaluation

3 Welcome

Welcome

Understanding Film-like Photography Parameters, Nonlinearities, Ray-based concepts Image Processing and Reconstruction Tools Multi-image Fusion, Gradient domain, Graph Cuts Improving Camera Performance Better dynamic range, focus, frame rate, resolution Future Directions HDR cameras, Gradient sensing, Smart optics/lighting

4 Goals

Goals

Review of 30+ recent papers Understand computational aspects of cameras Discuss issues in traditional cameras Explore alternative imaging methods Learn vision and optics techniques Discuss image processing and reconstruction tools What we will not cover Film Cameras, Novel view rendering (IBR), Color issues, Traditional image processing/editing

5 Speaker: Jack Tumblin

Speaker: Jack Tumblin

Jack Tumblin is an Assistant Professor of Computer Science at Northwestern University. His interests include novel photographic sensors to assist museum curators in historical preservation, computer graphics and visual appearance, and image-based modeling and rendering. During his doctoral studies at Georgia Tech and post-doc at Cornell, he investigated tone-mapping methods to depict high-contrast scenes. His MS in Electrical Engineering (December 1990) and BSEE (1978), also from Georgia Tech, bracketed his work as co-founder of IVEX Corp., (>45 people as of 1990) where his flight simulator design work was granted 5 US Patents. He is an Associate Editor of ACM Transactions on Graphics, was a member of the SIGGRAPH Papers Committee (2003, 2004), and in 2001 was a Guest Editor of IEEE Computer Graphics and Applications. http://www.cs.northwestern.edu/~jet

6 Speaker: Ramesh Raskar

Speaker: Ramesh Raskar

Ramesh Raskar is a Senior Research Scientist at MERL. His research interests include projector-based graphics, computational photography and non-photorealistic rendering. He has published several articles on imaging and photography including multi-flash photography for depth edge detection, image fusion, gradient-domain imaging and projector-camera systems. His papers have appeared in SIGGRAPH, EuroGraphics, IEEE Visualization, CVPR and many other graphics and vision conferences. He was a course organizer at Siggraph 2002, 2003 and 2004. He is a panel organizer at the Symposium on Computational Photography and Video in Cambridge, MA in May 2005. He is a member of the ACM and IEEE. http://www.merl.com/people/raskar/raskar.html

7 Opportunities

Opportunities

Unlocking Photography How to expand camera capabilities Digital photography that goes beyond film-like photography Opportunities Computing corrects for lens, sensor and lighting limitations Computing merges results from multiple images Computing reconstructs from coded image samples Cameras benefit from computerized light sources Think beyond post-capture image processing Computation well before image processing and editing Learn how to build your own camera-toys

8 Traditional Photography

Traditional Photography

Detector

Lens

Image

Pixels

9 Computational Photography: Optics, Sensors and Computations

Computational Photography: Optics, Sensors and Computations

Generalized Sensor

Generalized Optics

Computations

Ray Reconstruction

4D Ray Bender

Upto 4D Ray Sampler

10 Computational Photography

Computational Photography

Novel Cameras

Generalized Sensor

Generalized Optics

Processing

11 Computational Photography

Computational Photography

Novel Cameras

Generalized Sensor

Generalized Optics

Processing

Novel Illumination

Light Sources

12 Computational Photography

Computational Photography

Novel Cameras

Generalized Sensor

Generalized Optics

Processing

Novel Illumination

Scene: 8D Ray Modulator

Light Sources

13 Computational Photography

Computational Photography

Novel Cameras

Generalized Sensor

Generalized Optics

Processing

Novel Illumination

Display

Scene: 8D Ray Modulator

Recreate 4D Lightfield

Light Sources

14 Computational Photography

Computational Photography

Novel Cameras

Generalized Sensor

Generalized Optics

Processing

Novel Illumination

4D Incident Lighting

Ray Reconstruction

4D Ray Bender

Upto 4D Ray Sampler

4D Light Field

Display

Scene: 8D Ray Modulator

Recreate 4D Lightfield

Light Sources

Modulators

Generalized Optics

15 A Teaser: Dual Photography

A Teaser: Dual Photography

Projector

Photocell

Scene

16 A Teaser: Dual Photography

A Teaser: Dual Photography

Projector

Photocell

Scene

17 A Teaser: Dual Photography

A Teaser: Dual Photography

Projector

Photocell

Scene

18 A Teaser: Dual Photography

A Teaser: Dual Photography

Projector

Photocell

Camera

Scene

19 The 4D transport matrix: Contribution of each projector pixel to each

The 4D transport matrix: Contribution of each projector pixel to each

camera pixel

projector

camera

scene

20 The 4D transport matrix: Contribution of each projector pixel to each

The 4D transport matrix: Contribution of each projector pixel to each

camera pixel

Sen et al, Siggraph 2005

projector

camera

scene

21 The 4D transport matrix: Which projector pixel contribute to each

The 4D transport matrix: Which projector pixel contribute to each

camera pixel

?

Sen et al, Siggraph 2005

projector

camera

scene

22 Dual photography from diffuse reflections

Dual photography from diffuse reflections

Sen et al, Siggraph 2005

the camera’s view

23 A Brief History of Images

A Brief History of Images

1558

Camera Obscura, Gemma Frisius, 1558

24 A Brief History of Images

A Brief History of Images

1558

1568

Lens Based Camera Obscura, 1568

25 A Brief History of Images

A Brief History of Images

1558

1568

1837

Still Life, Louis Jaques Mande Daguerre, 1837

26 A Brief History of Images

A Brief History of Images

1558

1568

1837

1970

Silicon Image Detector, 1970

27 A Brief History of Images

A Brief History of Images

1558

1568

1837

1970

1994

Digital Cameras

28 Dream of A New Photography

Dream of A New Photography

Old New People and Time ~Cheap Precious Each photo Precious Free Lighting Critical Automated* External Sensors No Yes ‘Stills / Video’ Disjoint Merged Exposure Settings Pre-select Post-Process Exposure Time Pre-select Post-Process Resolution/noise Pre-select Post-Process ‘HDR’ range Pre-select Post-Process

29 Survey

Survey

How many of you are photographers ? How many of you are photo-artists ? How many of you are involved in camera design/development ? How many do active programming ? Field of work: Academics? Industry ? Research ? Art ?

30 Schedule

Schedule

8:30 Introduction (Raskar) 8:40 Photographic Signal & Film-like Photography (Tumblin) 9:10 Image Processing Tools (Raskar) 9:40 Improving Film-like Photography (Tumblin) 10:15 Break 10:30 Image Reconstruction Techniques (Raskar) 11:15 Smart Lights and Beyond Photography (Tumblin) 11:45 Smart Optics and Sensors (Raskar) 12:05 Discussion

Course Page : http://www.merl.com/people/raskar/photo

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