Introduction to Computer Vision

Georgia Tech CS 4476 Fall 2019 edition

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
Mon, Aug 19 Introduction pptx, pdf Ch. 1
Wed, Aug 21 Image formation (geometry) pptx, pdf Ch. 2
Mon, Aug 26 Image formation (photometry) pptx, pdf Ch. 2 1 out
Wed, Aug 28 Image processing pptx, pdf Ch. 3
Mon, Sep 2 No classes, Labor Day
Wed, Sep 4 Convolutional Neural Networks pptx, pdf
Mon, Sep 9 Image processing pptx, pdf Ch. 3 1 due
Wed, Sep 11 Fourier transform Ch. 3 2 out
Mon, Sep 16 Feature detection (Harris) pptx, pdf Ch. 4
Wed, Sep 18 Feature Descriptors (SIFT) pptx, pdf Ch. 4 2a due on Fri
Mon, Sep 23 Edges and Hough Transform pptx, pdf Ch. 4
Wed, Sep 25 Feature-based alignment pptx, pdf Ch. 6 2b due on Fri
Mon, Sep 30 Feature-based alignment pptx, pdf Ch. 6
Wed, Oct 2 Structure from motion pptx, pdf Ch. 7 3 out
Mon, Oct 7 Structure from motion pptx, pdf Ch. 7
Wed, Oct 9 Midterm
Mon, Oct 14 Fall recess - no classes
Wed, Oct 16 Dense motion estimation pptx, pdf Ch. 8
Mon, Oct 21 Deep Learning (Cusuh Ham) pptx, pdf 3 due, 4 out
Wed, Oct 23 Stereo Correspondence (Rehg) pptx, pdf Ch. 11
Mon, Oct 28 Dense motion estimation (cont'd) pptx, pdf Ch. 8
Wed, Oct 30 Stitching/High-Dynamic Range pptx, pdf Ch. 9/10
Mon, Nov 4 TBD 4 due, 5 out
Wed, Nov 6 Object Recognition (Hoffman) pptx, pdf Ch. 14
Mon, Nov 11 Decection, Boosting, SVMS pptx, pdf Ch. 14
Wed, Nov 13 Deep Object Detection Architectures pptx, pdf Ch. 14
Mon, Nov 18 Grouping & Segmentation pptx, pdf Ch. 5 5 due, 6 out
Wed, Nov 20 Deep Segmentation pptx, pdf
Mon, Nov 25 DL, Robotics & Language (Batra) pptx, pdf
Wed, Nov 27 No classes, student recess
Mon, Dec 2 Control & Visual Servoing (Hutchinson) pptx, pdf 6 due
Wed, Dec 11 Final - 2:40 PM ‐ 5:30 PM