Computational Photography (CS 445) – Spring 2023

Instructor: Yuxiong Wang

Where: Coursera

Instructor Office Hours: Mon 6:00 PM - 7:00 PM (CT) Zoom

TA: Eric Lee (kylee5), Michal Shlapentokh-Rothman (michal5),

Xiang Li (xiangl12), Sirui Xu (siruixu2), Shuhong Zheng (szheng36)

Office Hours: (Sirui) Mon 8:00 PM - 9:00 PM (CT) Zoom

Office Hours: (Michal) Tue 10:30 AM - 11:30 AM (CT) Zoom

Office Hours: (Eric) Wed 10:30 AM - 11:30 AM (CT) Zoom

Office Hours: (Xiang) Thu 4:00 PM - 5:00 PM (CT) Zoom

Office Hours: (Shuhong) Fri 9:00 PM - 10:00 PM (CT) Zoom

Syllabus

Take-Home Questions

Campuswire Discussion Board

Tutorial on Linear Algebra

Tutorial on NumPy & Jupyter Notebook

Textbook: Computer Vision: Algorithms and Applications by Rick Szeliski

Projects

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

Class Schedule

Week	Date	Topic	Link	Reading/Notes
1	Jan 17 – Jan 22	Introduction	ppt ; pdf
		Basics of Working with Images
1		Pixels and image filters	ppt ; pdf	S3.2 (linear filtering) S3.3 (non-linear filtering)
2	Jan 23 – Jan 29	Thinking in frequency	ppt ; pdf	S3.4 (fourier transforms) S2.3.3 (compression) FFT Demo (original) ; Python demo by Jae
2		Templates and image pyramids	ppt ; pdf	S3.5.2 (image pyramids) S8.1.1 (pyramid alignment) Other reading: Burt Adelson 1983 – The Laplacian Pyramid
3	Jan 30 – Feb 5	Light and color	ppt ; pdf	S2.2 (light), S2.3.2 (color) or Forsyth and Ponce Ch 3
3		Histograms and color adjustment	ppt ; pdf	S3.1 (histograms and color adjustment) Color balance demo
	Feb 8 (Wed)	Project 1 (Hybrid images) due
		The Digital Canvas: Coloring, Blending, Cutting, Synthesizing, and Warping Images
4	Feb 6 – Feb 12	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)
4		Cutting: Intelligent Scissors and Graph Cuts	ppt ; pdf	Intelligent Scissors – Mortenson Barret (1995) GrabCut – Rother et al. (2004)
5	Feb 13 – Feb 19	Pasting: Compositing and blending	ppt ; pdf	Poisson Image Editing – Perez et al. (2003) Burt and Adelson, A multiresolution spline with application to image mosaics, ACM ToG (1983)
5		Image warping (translation, rotation, scale, etc.)	ppt ; pdf	S3.6 (warping) Alignment demo
	Feb 22 (Wed)	Project 2 (Image quilting) due
6	Feb 20 – Feb 26	Image morphing	ppt ; pdf
		Modeling the Physical World
6		The Pinhole Camera	ppt ; pdf	S2.1.5 (3D to 2D projection)
7	Feb 27 – Mar 5	Single-view Metrology + Camera Model continued	ppt ; pdf	HoiemSavarese-SVG Chapter
7		Single-view 3D Reconstruction	ppt ; pdf	Tour into the picture (Horry et al. 1997)
8	Mar 4 – Mar 10	Midterm Exam (on PrarieLearn)
8-9	Mar 11 – Mar 19	Spring Break
10	Mar 20 – Mar 26	Image-based Lighting: ray tracing, environment maps, light probes	ppt ; pdf	Reading (do read this): Debevec, Image-based Lighting Tutorial (2005)
10		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
	Mar 29 (Wed)	Project 3 (Gradient domain fusion) due
11	Mar 27 – Apr 2	The image as a virtual stage	ppt ; pdf	Rendering Synthetic Objects (Karsch et al. 2011)
		Correspondence and Recognition
11		Matching and alignment with interest points	ppt ; pdf	Grauman/Leibe Draft Chapter on Local Features Optional: Lowe - SIFT paper
	Mar 31 (Fri)	Final Project Proposal due
12	Apr 3 – Apr 9	Automatic Photo Stitching and RANSAC	ppt ; pdf	Brown Lowe 2007 ; S9 (stitching); slides
12		Object recognition, retrieval, and augmented reality	ppt ; pdf	Grauman/Leibe Draft Visual Vocabularies; S14.3
	Apr 12 (Wed)	Project 4 (Image-based lighting) due
13	Apr 10 – Apr 16	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
13		Generating and detecting fakes	ppt ; pdf	Pix2pix Cycle GAN Deep fakes in news
14	Apr 17 – Apr 23	How the Kinect works	ppt ; pdf
14		Computational approaches to cameras	ppt ; pdf	Adelson & Bergen, The Plenoptic Function and the Elements of Early Vision (1991) Ng et al., Light Field Photography with a Hand-held Plenoptic Camera (2005) Levin et al., Image and Depth with a Coded Aperture (2007)
	Apr 26 (Wed)	Project 5 (Video stitching) due
15	Apr 24 – Apr 30	Understanding Faces	ppt ; pdf
15		Video Magnification	ppt ; pdf
16	May 1 – May 3	Last day – cutting edge and wrap up	ppt ; pdf
	May 7 (Sun)	Final Project due (cannot be late)
16-17	May 5 – May 12	Final Exam (on PrairieLearn)

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 Derek Hoiem for designing this course and 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 Alyosha Efros, 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.