| Date | Lecture (click for notes) | Readings | Assignments | 
	| Thu, Sep 14 | Introduction to computer vision | Ch. 1.1 |  | 
	| Tue, Sep 19 | Image formation and capture | Ch. 2.2.3 – 2.3 |  | 
	| Thu, Sep 21 | Convolution and filtering | Ch. 3.2, 3.4, 4.2 | Assignment 0 due | 
	| Tue, Sep 26 | Feature detectors and descriptors | Ch. 4, Trucco & Verri,
		Ch. 4.1 – 4.3; SIFT paper
 |  | 
	| Thu, Sep 28 | Fitting, Hough transforms, RANSAC |  |  | 
	| Tue, Oct 3 | Image alignment and stitching | Ch. 6.1.1 – 6.1.4; Ch. 9 (optional); Multires blending paper
 |  | 
	| Thu, Oct 5 | Intro to recognition | Ch. 14 | Assignment 1 due | 
	| Tue, Oct 10 | Classification | Dalal & Triggs paper |  | 
	| Thu, Oct 12 | Part-based models |  |  | 
	| Tue, Oct 17 | Object detection | Deformable Parts Model (DPM) paper |  | 
	| Thu, Oct 19 | Texture | Ch. 10.5;
	  Efros & Leung paper; Efros & Freeman paper;
	  Image Quilting
 | Assignment 2 due | 
	| Tue, Oct 24 | Segmentation | Ch. 5.2 – 5.4;
	     Martin et al. segmentation paper; Shi and Malik normalized cuts paper
 |  | 
	| Thu, Oct 26 | Midterm |  |  | 
	| Tue, Oct 31 | No class - fall break | 
	| Thu, Nov 2 | No class - fall break | 
	| Tue, Nov 7 | Motion, Optical Flow, Tracking I | Ch. 8.4; Lucas-Kanade paper; Ch. 8.1 – 8.3 (optional)
 |  | 
	| Thu, Nov 9 | Tracking II |  |  | 
	| Tue, Nov 14 | Intro to 3D vision; stereo | Ch. 11.1 – 11.4; Ch. 12 (optional) |  | 
	| Thu, Nov 16 | Camera geometry and calibration | Ch. 11.6; Voxel coloring paper | Assignment 3 no longer due | 
	| Sun, Nov 19 |  |  | Assignment 3 due | 
	| Tue, Nov 21 | Guest lecture on 3D scene understanding by Prof. Silvio Savarese (Stanford University) | Ch. 2.1; Ch. 6.3 (optional) |  | 
	| Thu, Nov 23 | No class - Thanksgiving | 
	| Tue, Nov 28 | Introduction to Deep Learning | CNN Beginner's Guide |  | 
	| Thu, Nov 30 | Deep Learning II: Layer types and training |  |  | 
	| Tue, Dec 5 | Deep Learning III: Initialization, Architectures, Applications |  |  | 
	| Thu, Dec 7 | Deep Learning IV: Object Detection and Segmentation |  | Assignment 4 due | 
	| Tue, Dec 12 | Deep Learning V: Segmentation |  |  | 
	| Thu, Dec 14 | Guest lecture on activity understanding by Prof. Greg Mori (Simon Fraser University) |  |  | 
	| Fri, Dec 15 |  |  | Project milestone due | 
	| TBA | Final project presentations |  |  | 
	| Tue, Jan 16 |  |  | Project report due |