computational photography and videography
DESCRIPTION
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 PresentationTRANSCRIPT
Computational Photography and Videography
Christian Theobalt and Ivo Ihrke
Winter term 09/10
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/
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 %
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)
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 !
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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