computational photography and videography

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Computational Photography and Videography Christian Theobalt and Ivo Ihrke Winter term 09/10

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Computational Photography and Videography. Christian Theobalt and Ivo Ihrke Winter term 09/10. Coordinates. MPI – room 019 Wednesdays, 14:00 c.t. Christian Theobalt MPI, room 228 [email protected] Ivo Ihrke MPI, room 225 [email protected] Mailing List [email protected] - PowerPoint PPT Presentation

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Page 1: Computational Photography and Videography

Computational Photography and Videography

Christian Theobalt and Ivo Ihrke

Winter term 09/10

Page 2: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Coordinates

MPI – room 019 Wednesdays, 14:00 c.t. Christian Theobalt

– MPI, room 228– [email protected]

Ivo Ihrke– MPI, room 225– [email protected]

Mailing List– [email protected]

Web Page– http://www.mpi-inf.mpg.de/~theobalt/courses/Seminar_WS_2009/

Page 3: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Formal Requirements

Presence required Read all papers and participate in discussion One paper is “your paper” and you have to give

a 40-45 minute presentation on it Prepare a written report on the topic you

presented Grade: talk 50 %, report 50 %

Page 4: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Organizational Issues

Register by sending an Email to both of us Topic assignment

– Send list of ordered preferences by Friday (23rd of Oct.)– We try to accommodate wishes as well as possible– We send out assignment on Monday, 26th of Oct.

First topic presentation 2009/11/18– (10 students)

Page 5: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Benefits

Practice one of the most important skills in science– Read and understand papers– Present scientific results

Discussion is essential– If you don’t participate you miss a big chance– Most ideas are developed in discussions

about other papersPrepare the seminar classes !Benefit from the interaction in the group !

Page 6: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Organizational Issues

Topics will be covered in the order appearing on the seminar web page

If necessary, and mutually agreed on, dates can be exchanged

Presentations 45 min. presenter leads the discussion on the papers All participants are supposed to read the papers Active participation in discussion is expected

Page 7: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Organizational Issues

Two scheduled meetings per topic– 1. 3 weeks prior to presentation

Read papers for this meeting Ask questions if you have difficulties Discuss plans for presentation

– 2. 1 week prior to presentation prepare a preliminary presentation We can provide feedback

Page 8: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Organizational Issues

one office hour per week– Announced on seminar web page

You can ask questions by e-mail any time

Page 9: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Organizational Issues

Report– 6 – 8 pages summary of major ideas of your topic– 2 - 3 pages with your own ideas, e.g.,

Discuss limitations not mentioned in the paper and sketch a solution

Try to suggest improvements Novel ideas based on content described in the papers Your ideas can be the result of the discussion after your

presentation !

– The idea is that you get a feeling for your specific topic surpassing the level of simply understanding a paper.

Page 10: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Organizational Issues

Report– Due date 2010/02/19 (2 1/2 weeks after last seminar)– Pdf by e-mail– We provide a LaTeX-style on the seminar page– If you use other software make it look like the LaTeX-

example

Page 11: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Adelson & Bergen: The plenoptic function and elements of early vision, Computational Models of Visual Processing 1991

Levoy & Hanrahan: Light Field Rendering, SIGGRAPH’96

Image-Based Rendering Concepts

Page 12: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Camera Models and Noise

Healy & Kondepudy: Radiometric CCD Calibration and Noise Estimation, PAMI 1994

Kolb et al.: A Realistic Camera Model for Computer Graphics, SIGGRAPH 1995

Page 13: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Geometric Camera Calibration

Zhang: A flexible new technique for camera calibration, PAMI 2000

Hartley & Zisserman, Multiple View Geometry in Computer Vision, chapter 5, Cambridge University Press, 2000

Page 14: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Fourier Analysis of Light Fields

Isaksen et al.: Dynamically Reparameterized Light Fields, SIGGRAPH 2000

Ng: Fourier Slice Photography, SIGGRAPH 2005

Page 15: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Light Field Capture with Non-Refractive Modulators

Veeraraghavan et al: Dappled Photography: Mask-Enhanced Cameras for Heterodyned Light Fields and Coded Aperture Refocusing, SIGGRAPH 2007

Lanman et al: Shield Fields: Modeling and Capturing 3D Occluders, SIGGRAPH Asia 2008

Page 16: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Multi-View Basics

Laurentini: The Visual Hull Concept for Silhouette-Based Image Understanding, PAMI 1994

Matusik et al.: Image-Based Visual Hulls, SIGGRAPH 2000

Page 17: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Multi-view Stereo for Static and Dynamic Scenes

Furukawa et al., Accurate, Dense, and Robust Multi-view Stereopsis , CVPR 2007

Zitnick et al., High-Quality Video View Interpolation Using a Layered Representation, SIGGRAPH 2004

Page 18: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Marker-less Motion Capture

Bregler et al., tracking people with twists and exponential maps, CVPR 1998

Balan et al., detailed human shape and pose from images

Page 19: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Marker-less Performance Capture

Vlasic et al., Articulated Mesh Animation from Multi-view Silhouettes, SIGGRAPH 2008

De Aguiar et al., Performance Capture from Sparse Multi-view Video, SIGGRAPH 2008

Page 20: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Video Recinematography

Gleicher et al., Re-Cinematography: Improving the Camerawork of Casual Video, ACM TOMCCAP

Feng Liu et al., Content-Preserving Warps for 3D Video Stabilization, SIGGRAPH 2009

Page 21: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Reconstruction from Community Photo Collections

Snavely et al., Photo Tourism: Exploring image collections in 3D, SIGGRAPH 2006

Goesele et al., Multi-View Stereo for Community Photo Collections, ICCV 2008

Page 22: Computational Photography and Videography

CPAV 09/10 – First Meeting – 2009/10/23

Reconstruction with Time-of-Flight Cameras

Fusion of Time-of-Flight Depth and Stereo for High Accuracy Depth Maps (PDF), Jiejie Zhu, Liang Wang, Ruigang Yang and James Davis, CVPR 2008

Hebert et al., 3d measurements from imaging laser radars: How good are they?, IVC 1992