Schedule

Note that while the schedule follows the organization in Szeliski's book, deep learning topics will be integrated throughout the course, having profoundly influenced the state of the art across all of computer vision.

Date	Topic	Slides	Reading	Projects	Quizzes
Mon, Aug 17	Logistics	pptx, pdf	-	Pytorch
Wed, Aug 19	Introduction to CV	pptx, pdf	-
Mon, Aug 24	Geometric Image formation	pptx, pdf	-
Wed, Aug 26	Geometric Image formation		-
Mon, Aug 31	Photometric Image formation	pptx, pdf	-
Wed, Sep 2	Photometric Image formation	pptx, pdf	-	Image Filtering and Hybrid images
Mon, Sep 7	No classes, Labor Day		-
Wed, Sep 9	Image processing	pptx, pdf	-		Quiz 1
Mon, Sep 14	Image processing		-
Wed, Sep 16	Image processing		-	Scene Recognition with Deep Learning
Mon, Sep 21	CNNs		-
Wed, Sep 23	CNNs	pptx, pdf	-		Quiz 2
Mon, Sep 28	Deep Learning	pptx, pdf	-
Wed, Sep 30	Recognition	pptx, pdf	-	Project 2 Intermediate Deadline
Mon, Oct 5	Deep Image Recognition	pptx, pdf	-
Wed, Oct 7	Feature Detection and Matching	pptx, pdf	-		Quiz 3
Mon, Oct 12	Harris Corner Detector, in Detail		-
Wed, Oct 14	Descriptors and Matching	pptx, pdf	-	Local Feature Matching
Mon, Oct 19	Image Alignment and Stitching	pptx, pdf	-
Wed, Oct 21	Motion Estimation	pptx, pdf	-		Quiz 4
Mon, Oct 26	Motion Estimation		-
Wed, Oct 28	Structure from motion & SLAM	pptx, pdf	-	Camera Projection Matrix and F Estimation
Mon, Nov 2	Structure from motion & SLAM		-
Wed, Nov 4	Structure from motion & SLAM	pptx, pdf	-		Quiz 5
Mon, Nov 9	Structure from motion & SLAM	pptx, pdf	-
Wed, Nov 11	Stereo	pptx, pdf	-	Applied Object and Pose Detection
Mon, Nov 16	Stereo		-
Wed, Nov 18	Deep Stereo	pptx, pdf	-
Mon, Nov 23	Segmentation	pptx, pdf	-
-, Nov 25-29	Thanksgiving Break		-
-, Dec 1-8	Final Exams		-		Quiz 6