| Philippos Mordohai Assistant Professor Department of Computer Science Stevens Institute of Technology Office: Lieb 215
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CS 558: Computer Vision Spring 2016 |
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Location McLean 106 Time Wednesday 6:15-8:45 PM. Office Hours Tuesday 5-6 and by appointment. Pre-requisites (CS 590 or CS 570 or CS 385 or CS 182) and (MA 232 or equivalent) Syllabus Textbook Parts of the following textbook, which is available free of charge online, will be used.
Resources The following links should be useful in case you need to refresh your math or Matlab knowledge.
Week 1: Introduction and cameras (Szeliski Ch. 2.3) Lecture 1 slides (pdf) Week 2: Image formation, convolution and filtering (Szeliski Ch. 2.2, 2.3 and 3.2) Lecture 2 slides (pdf) Week 3: Edge and corner detection (Szeliski Ch. 4.1 and 4.2) Lecture 3 slides (pdf) Homework 1 (pdf and images) is due on Feb. 10. Week 4: Fitting, alignment (Szeliski Ch. 4.3 and 6.1) Lecture 4 slides (pdf) Week 5: Hough transforms, template matching, image pyramids and alignment (Szeliski Ch. 4.1 and 8.1) Lecture 5 slides (pdf) Week 6: Feature tracking, optical flow, grouping and segmentation (Szeliski Ch. 8.4, 5.2 and 5.3) Lecture 6 slides (pdf) Quiz 5 (pdf) is due on March 2. Week 7: Segmentation and camera geometry (Szeliski Ch. 5.2.1, 5.3 and 11.1) Lecture 7 slides (pdf) Homework 2 (pdf and image) is due on March 13. Week 8: Structure-from-Motion and 3D reconstruction (Szeliski Ch. 7 and 11) Lecture 8 slides (pdf) Week 9: Object recognition (I) (Szeliski Ch. 14 and notes) Lecture 9 slides (pdf) Homework 3 (pdf and images) is due on April 2. Week 10: Object recognition (II) (Szeliski Ch. 14 and notes) Lecture 10 slides (pdf) Week 11: Object recognition (III) (Szeliski Ch. 14 and notes) Lecture 11 slides (pdf) Week 12: Deep learning for computer vision (Notes) Lecture 12 slides (pdf) Homework 4 (pdf and images) is due on April 26. Week 13: Context (Szeliski Ch. 14.5 and notes) Lecture 13 slides (pdf) Week 14: Action and activity recognition (Notes) Lecture 14 slides (pdf) |
