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15-463 (15-862): Computational Photography
Computer Science Department
Carnegie Mellon University

INSTRUCTOR: Alexei (Alyosha) Efros (Office hours: Thursdays 2:30-3:30, NSH 4207)
TA: Jim McCann (Office hours: Tuesdays 5-6, NSH 4228)
UNIVERSITY UNITS: 12
SEMESTER: Fall 2007
NEWSGROUP: cmu.cs.class.cs463 (read this for important information!)
WEB PAGE: http://graphics.cs.cmu.edu/courses/15-463/
LOCATION: WeH 5312
TIME
: T R 12:00--1:20 PM

COURSE OVERVIEW:
Computational Photography is an emerging new field created by the convergence of computer graphics, computer vision and photography. Its role is to overcome the limitations of the traditional camera by using computational techniques to produce a richer, more vivid, perhaps more perceptually meaningful representation of our visual world.

The aim of this advanced undergraduate course is to study ways in which samples from the real world (images and video) can be used to generate compelling computer graphics imagery. We will learn how to acquire, represent, and render scenes from digitized photographs. Several popular image-based algorithms will be presented, with an emphasis on using these techniques to build practical systems. This hands-on emphasis will be reflected in the programming assignments, in which students will have the opportunity to acquire their own images of indoor and outdoor scenes and develop the image analysis and synthesis tools needed to render and view the scenes on the computer.

TOPICS TO BE COVERED:

  • Cameras, Image Formation
  • Visual Perception
  • Image and Video Processing (filtering, anti-aliasing, pyramids)
  • Image Manipulation (warping, morphing, mosaicing, matting, compositing)
  • Modeling and Synthesis using Lots of Data
  • High Dynamic Range Imaging and Tone Mapping
  • Image-Based Lighting
  • Image-Based Rendering
  • Non-photorealistic Rendering

PREREQUISITES:
Programming experience and familiarity with linear algebra and calculus is assumed. Some background in computer graphics, computer vision, or image processing is helpful. This class does not significantly overlap with 15-462 and can be taken concurrently.
Graduate Students: a small number of graduate students will be allowed to take the graduate version of this course (15-862) with the permission of the instructor. Students taking 15-862 will be required to do more substantial assignments as well as a research-level final paper.
Note: if the system doesn’t let you sign up, or puts you on the waitlist, do talk to me.

PROGRAMMING ASSIGNMENTS:

 Project 0: The Vertigo Shot
vertigo movie frame 1vertigo movie frame 2

Results
Class Choice Award Winner:
Lisa Chan

  Project 1: Images of the Russian Empire -- colorizing the Prokudin-Gorskii photo collection

Results
Class Choice Award Winners:
Lisa Chan and Anna Michalska

  Project 2: Image Resizing by Seam Carving

Results
Class Choice Award Winner:
Lisa Chan (again!)

Project 3: Face morphing and modeling:

Results Class movie
Class
Choice Award Winner: Ronit Slyper

  Project 4: Stitching Photo Mosaics (including autostitching)

Results
Class Choice Award Winner: Lisa Chan (again!!)

 Project 5: Single-View Reconstruction(Tour into the Picture):

Results
Class
Choice Award Winner: Ronit Slyper and William Wedler

Final Projects!

Online Face LabelerCamera/Projector System

View Morphing

Recursive Image Mosaics

Creating Hockney’s Joiners

Microstructural Grain Modeling

Infinite Panoramas

Seam-Carving in Web Pages

Image Deformation using Moving Least Squares

Flickrbooks: Flipbooks using millions of Flickr images

Story Telling with Markov Chains

Animating Texture Transfer

TEXT:
Since Computational Photography is such a new discipline, no comprehensive textbook exists for use in the class. Therefore, there is no required text. Various course notes and papers will be made available. Furthermore, there is an optional textbook that you might find helpful. It will be placed on reserve at the Wean Hall library:

Computer Vision: The Modern Approach, Forsyth and Ponce

There is a number of other fine texts that you can use for general reference:

Photography (8th edition), London and Upton, (a great general guide to taking pictures)
Vision Science: Photons to Phenomenology, Stephen Palmer (great book on human visual perception)
Digital Image Processing, 2nd edition, Gonzalez and Woods (a good general image processing text)
The Art and Science of Digital Compositing, Ron Brinkmann (everything about compositing)
Multiple View Geometry in Computer Vision, Hartley & Zisserman (a bible on recovering 3D geometry)
The Computer Image, Watt and Policarpo (a nice “vision for graphics” text, somewhat dated)
3D Computer Graphics (3rd Edition), Watt (a good general graphics text)
Fundamentals of Computer Graphics, Peter Shirley (another good general graphics text)
Linear Algebra and its Applications, Gilbert Strang (a truly wonderful book on linear algebra)

CLASS NOTES
The instructor is extremely grateful to a large number of researchers for making their slides available for use in this course. Steve Seitz and Rick Szeliski have been particularly kind in letting me use their wonderful lecture notes. In addition, I would like to thank Paul Debevec, Stephen Palmer, Paul Heckbert, David Forsyth, Steve Marschner and others, as noted in the slides. The instructor gladly gives permission to use and modify any of the slides for academic and research purposes. However, please do also acknowledge the original sources where appropriate.

CLASS SCHEDULE:

CLASS DATE

TOPICS

Material

Tu Aug 28

Introduction

 

Th Aug 30

The Camera

  • Slides (ppt, pdf)
  • Forsyth & Ponce, Ch 1

Tu Sept 4

Capturing Light… in man and machine

 

Th Sept 6

Sampling and Reconstruction

 

Tu Sept 11

The Frequency Domain

Th Sept 13

Image Processing (Jim)

  • N/A

Tu Sept 18

Image Blending and Compositing

Slides (ppt, pdf)
Project #2 OUT

Additional Reading:
Burt and Adelson, A multiresolution spline with application to image mosaics, ACM ToG (1983)
Agarwala et al, Interactive Digital Photomontage, SIGGRAPH 2004

Th Sept 20

 

Image Warping

Slides (ppt, pdf)

Tu Sept 25

Image Morphing

Slides (ppt, pdf)

Th Sept 27

Data-driven Methods: Faces

Slides (ppt, pdf)
Rowland and Ferrett, “Manipulating Facial Appearance through Shape and Color”, CG&A, 1995

Additional Reading:

  1. Blanz and Vetter, “A Morphable Model for the Synthesis of 3D Faces”, SIGGRAPH 1999
  2. Cootes, Edwards, and Taylor, “Active Appearance Models”,  ECCV 1998

 

Friday Sept 28, 3:30pm, NSH 1305

Special Guest Lecture : From Images To Insights (Wojciech Matusik)

 

 

Tu Oct 2

Data-driven Methods: Video

 

Th Oct 4

Data-driven Methods: Textures and Images

 

Tu Oct 9

Modeling Light

 

Th Oct 11

Midtern review

 

Tu Oct 16

Midterm Exam (Jim)

 

Th Oct 18

Midterm Overview (Jim)

 

Tu Oct 23

Homographies and Mosaics

 

Th Oct 25

More Mosaic Madness

Friday Oct 26, 3:30pm, NSH 1305

Special Guest Lecture : Paul Debevec

 

 

Tu Oct 30

Automatic Alignment

Th Nov 1

Multi-perspective Panoramas

 

Tu Nov 6

Single View Reconstruction

Slides (ppt, pdf)

Reading: Horry et al, “Tour into the Picture”, SIGGRAPH ‘97

Project #5 OUT

Th Nov 8

More Single View Geometry

Slides (ppt, pdf)

Additional Reading: Single-view Reconstruction

Tu Nov 13

High Dynamic Range Images

Slides (ppt, pdf)

Reading: Debevec & Malik, “Recovering High Dynamic Range Radiance Maps from Photographs”, SIGGRAPH 1997

Th Nov 15

Image-based Lighting

Slides (ppt, pdf)
Reading:
Debevec, Rendering Synthetic Objects in Real Scenes, 1998

Tu Nov 20

Image-based Lighting II

Slides (ppt, pdf)
Reading:
Debevec, Virtual Cinematography: Relighting Through Computation, IEEE Computer Aug 2006

Tu Nov 27

Taking Great Pictures (guest lecture by Yan Ke)
vs.

Slides (ppt, pdf)
Reading:
Y. Ke, X. Tang, and F. Jing. The Design of High-Level Features for Photo Quality Assessment.  CVPR 2006.

Th Nov 29

Matting

Slides (ppt, pdf)

Tu Dec 4

Multi-view Geometry

Slides (ppt, pdf)

Th Dec 6

Navigating the World’s Photographs (virtual guest lecture by Steve Seitz)

GoogleVideo link

CAMERAS:
Although it is not required, students are highly encouraged to obtain a digital camera for use in the course (one can get a pretty good camera for under $150). A camera might be available on load from the instructor.

METHOD OF EVALUATION:
Grading will be based on a set of programming and written assignments (60%), an exam (20%) and a final project (20%). For the programming assignments, students will be allowed a total of 5 (five) late days per semester; each additional late day will incur a 10% penalty.

Students taking 15-862 will also be required to submit a conference-style paper describing their final project.

COMPUTING FACILITIES:
All students will have access to the graphics cluster in Wean Hall 5336. You will need to setup your Andrew account in the right way before you can login.

MATLAB:
Students will be encouraged to use Matlab (with the Image Processing Toolkit) as their primary computing platform. Besides being a great prototyping environment, Matlab is particularly well-suited for working with image data and offers tons of build-in image processing functions. Here is a link to some useful Matlab resources

PREVIOUS OFFERINGS OF THIS COURSE:
Previous offerings of this course can be found here.

SIMILAR COURSES IN OTHER UNIVERSITIES:

 

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