Computational Photography (CS 498) – Fall 2014

Instructor: Derek Hoiem (dhoiem at illinois ; Siebel Center 3312)

TA: Amin Sadeghi (msadegh2 at illinois ; Siebel Center 3307)

Office Hours: Derek, Mon 2pm; Amin, Thurs 5pm

Class Time and Place: Tues and Thurs 11-12:15pm at Siebel Center 1304

Syllabus

Take-home questions

Online Resources

Online Discussion: Piazza

Textbook: Computer Vision: Algorithms and Applications by Rick Szeliski

Matlab: Video Tutorials; Writing Fast Code

Lecture Recordings (starting 10/21)

Projects

Project 1: Hybrid Images Results	Project 2: Image Quilting Results	Project 3: Gradient Domain Fusion Results
Project 4: Image-based Lighting Results	Project 5: Video Stitching Results	Final Project Results

Class Schedule (subject to change)

Date	Topic	Link	Reading/Notes
Aug 26 (Tues)	Introduction	ppt ; pdf
	Basics of Working with Images
Aug 28 (Thurs)	Pixels and image filters	ppt ; pdf	S3.2 (linear filtering) S3.3 (non-linear filtering)
Sept 2 (Tues)	Thinking in frequency	ppt ; pdf	S3.4 (fourier transforms) S2.3.3 (compression) FFT Demo
Sept 2 (5pm)	Matlab Tutorial, Linear Algebra Tutorial in SC 4403	refsheet examples	Linear algebra review
Sept 4 (Thurs)	Templates and image pyramids	ppt ; pdf	S3.5.2 (image pyramids) S8.1.1 (pyramid alignment) Other reading: Burt Adelson 1983 – The Laplacian Pyramid
Sept 9 (Tues)	Light and color	ppt ; pdf	S2.2 (light), S2.3.2 (color) or Forsyth and Ponce Ch 3 Derek in Zurich, Amin Teaching
Sept 11 (Thurs)	Histograms and color adjustment	ppt ; pdf	S3.1 (histograms and color adjustment)
Sept 15 (Mon)	Project 1 (Hybrid images) due
	The Digital Canvas: Coloring, Blending, Cutting, Synthesizing, and Warping Images
Sept 16 (Tues)	Growing: Texture synthesis and hole filling	ppt ; pdf	Texture Synthesis – Efros Leung (1999) Image Quilting – Efros Freeman (2001) Image Analogies – Hertzmann et al. (2001) Patch Match – Barnes et al. (2009)
Sept 18 (Thurs)	Cutting: Intelligent Scissors and Graph Cuts	ppt ; pdf	Intelligent Scissors – Mortenson Barret (1995) GrabCut – Rother et al. (2004)
Sept 23 (Tues)	Pasting: Compositing and blending	ppt ; pdf	GradientShop Poisson Image Editing – Perez et al. (2003) Burt and Adelson, A multiresolution spline with application to image mosaics, ACM ToG (1983)
Sept 25 (Thurs)	Image warping (translation, rotation, scale, etc.)	ppt ; pdf	S3.6 (warping) Alignment demo
Sept 29 (Mon)	Project 2 (Image quilting) due
Sept 30 (Tues)	Image morphing	ppt ; pdf
	Modeling the Physical World
Oct 2 (Thurs)	The Pinhole Camera	ppt ; pdf	S2.1.5 (3D to 2D projection)
Oct 7 (Tues)	Single-view Metrology	ppt ; pdf	HoiemSavarese-SVG Chapter
Oct 9 (Thurs)	Single-view 3D Reconstruction	ppt ; pdf	Tour into the picture (Horry et al. 1997)
Oct 13 (Mon)	Project 3 (Gradient domain fusion) due
Oct 14 (Tues)	Image-based Lighting: ray tracing, environment maps, light probes	ppt ; pdf	Reading (do read this): Debevec, Image-based Lighting Tutorial (2005)
Oct 16 (Thurs)	Image-based Lighting cont.: HDR light probes, relighting	ppt ; pdf	Optional Reading: Debevec & Malik, “Recovering High Dynamic Range Radiance Maps from Photographs”, SIGGRAPH 1997 Debevec, Rendering Synthetic Objects in Real Scenes, 1998
Oct 21 (Tues)	The image as a virtual stage	ppt ; pdf	Rendering Synthetic Objects (Karsch et al. 2011)
	Correspondence and Recognition
Oct 23 (Thurs)	Matching and alignment with interest points	ppt ; pdf	Grauman/Leibe Draft Chapter on Local Features Optional: Lowe - SIFT paper
Oct 27 (Mon)	Project 4 (Image-based lighting) due
Oct 28 (Tues)	Automatic Photo Stitching and RANSAC	ppt ; pdf	Brown Lowe 2007 ; S9 (stitching); slides ; Szeliski Tutorial Draft
Oct 30 (Thurs)	Object recognition, retrieval, and augmented reality	ppt ; pdf	Grauman/Leibe Draft Visual Vocabularies; S14.3
Nov 4 (Tues)	Opportunities of scale: texture synthesis, multi-view reconstruction, im2gps, tiny images, etc.	ppt ; pdf	Reading: Hays & Efros, Scene Completion Using Millions of Photographs
	More Topics of Interest
Nov 6 (Thurs)	How the Kinect works	ppt ; pdf
Nov 11 (Tues)	Detecting fakes	ppt ; pdf
Nov 13 (Thurs)	Computational approaches to cameras	ppt ; pdf
Nov 17 (Mon)	Project 5 (Image stitching) and Final Project Proposal due
Nov 18 (Tues)	Exam Review	ppt ; pdf	Example Midterm Questions
Nov 20 (Thurs)	Exam, normal class time/place
Nov 25, 27	NO CLASS - Thanksgiving Break!
Dec 2 (Tues)	Understanding Faces	ppt ; pdf
Dec 4 (Thurs)	Video Magnification	ppt ; pdf
Dec 9 (Tues)	Last day – wrap up	ppt ; pdf
Dec 15 (Mon)	Final Project Presentations Siebel Center 1304, 1:30-4:30pm

Similar Courses in Other Universities

Computational Photography (Efros, CMU)

Computational Photography (Hays, Brown)

Computational Photography SIGGRAPH Course (Raskar & Tumblin)

Computational Camera and Photography (Raskar, MIT Media Lab)

Digital and Computational Photography (Durand & Freeman, MIT)

Computational Photography (Essa, Georgia Tech)

Computational Photography (Levoy, Adams, Pulli, Stanford)

Computational Photography (Lazebnik, UNC)

Computational Photography (Fergus, NYU)

Internet Vision (T.Berg, SUNY)

Computer Vision (Seitz & Szeliski, UWashington)

Introduction to Visual Computing and Visual Modeling (Kutulakos, UToronto)

Symposium on Computational Photography and Video (May 2005, MIT)

Credits and Course Notes

I am grateful for the many preceding efforts to design excellent courses and course notes for this topic. I am particularly indebted to Alyosha Efros for borrowing much of his course and project design, to Rick Szeliski for making his book available, to James Hays for course suggestions and materials, and to Steve Seitz, Lana Lazebnik, Silvio Savarese, among others for their slides (as credited within). Anyone who would like to use my slides is more than welcome; please do credit the original sources where appropriate.