1
Tue, Mar 31
Lecture 1:
Brief history of Computer Vision
Thu, Apr 2
Lecture 2:
Pixels and Filters
2
Tue, Apr 7
Lecture 3:
Systems and Convolutions
Tue, Apr 7
Homework checkpoint:
Assignment 0 (recommended, ungraded)
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A0 due (recommended)
Thu, Apr 9
Lecture 4:
Derivatives and Edges
3
Tue, Apr 14
Lecture 5:
Detecting Lines
Thu, Apr 16
Lecture 6:
Keypoints and Corners
Sat, Apr 18
Homework due:
Assignment 1
—
A1 due
4
Tue, Apr 21
Lecture 7:
Detectors and Descriptors
—
Thu, Apr 23
Lecture 8:
Homography
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5
Tue, Apr 28
Lecture 9:
Saliency and Retargeting
—
Thu, Apr 30
Lecture 10:
Motion & Tracking
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Sat, May 2
Homework due:
Assignment 2
—
A2 due
6
Tue, May 5
Lecture 11:
Geometry and Cameras
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Thu, May 7
Lecture 12:
Camera Calibration
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7
Tue, May 12
Lecture 13:
Structure from Motion
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Thu, May 14
Lecture 14:
Segmentation
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8
Tue, May 19
Homework due:
Assignment 3
—
A3 due
Thu, May 21
Lecture 16:
Recognition
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9
Tue, May 26
No lecture:
Memorial day
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Thu, May 28
Lecture 17 & 18-1:
Detecting Objects by Parts
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Sat, May 30
Homework due:
Assignment 4
—
A4 due
10
Tue, Jun 2
Lecture 19:
Learning Non-Linear Systems of Filters
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Thu, Jun 4
Lecture 20:
CV/AI Frontiers
—
Wed, Jun 10
Homework due:
Assignment 5
—
A5 due
Tue, Jun 9 2:30 - 4:20, BAG 154
Final Exam
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