1
Mon, Mar 31
Lecture 1:
Brief history of Computer Vision
Wed, Apr 2
Lecture 2:
Pixels and Filters
Fri, Apr 4
Recitation:
Linear Algebra Basics
2
Mon, Apr 7
Lecture 3:
Systems and Convolutions
Assignment 0 due
(not graded)
Wed, Apr 9
Lecture 4:
Derivatives and Edges
Fri, Apr 11
Recitation:
Python and Numpy Basics
[Optional]
3
Mon, Apr 14
Lecture 5:
Detecting Lines
Wed, Apr 16
Lecture 6:
Keypoints and Corners
Fri, Apr 18
Recitation:
Geometric Transformations
A1 due
4
Mon, Apr 21
Lecture 7:
Detectors and Descriptors
Wed, Apr 23
Lecture 8:
Homography
Fri, Apr 25
Recitation:
Panorama
5
Mon, Apr 28
Lecture 9:
Saliency and Retargeting
Wed, Apr 30
Lecture 10:
Motion & Tracking
Fri, May 2
Recitation:
Seam Carving and Optical Flow
A2 due
6
Mon, May 5
Lecture 11:
Geometry and Cameras
Wed, May 7
Lecture 12:
Camera Calibration
Fri, May 9
Recitation:
Calibrations and Multiple Cameras
7
Mon, May 12
Lecture 13:
Structure from Motion
Wed, May 14
Lecture 14:
Segmentation
Fri, May 16
Recitation:
Ontologies
8
Mon, May 19
Lecture 15:
Clustering
A3 due
Wed, May 21
Lecture 16:
Recognition
Fri, May 23
Recitation:
Ontologies Part 2
9
Mon, May 26
No lecture:
Memorial day
Wed, May 28
Lecture 17 & 18-1:
Detecting Objects by Parts
Fri, May 30
Recitation:
Exam Prep
A4 due
10
Mon, Jun 2
Lecture 19:
Learning Non-Linear Systems of Filters
Wed, Jun 4
Lecture 20:
CV/AI Frontiers
Fri, Jun 6
A5 and A6 (Extra credit) due on 6/10
Mon, Jun 9 2:30 - 4:20, BAG 154
Final Exam
Room TBD
Celebrate!