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Schedule and Syllabus

Unless otherwise specified the course lectures and meeting times are Tuesdays and Thursdays from 1:30pm to 2:50pm in the Building 420-040.

Students with Documented Disabilities: Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Office of Accessible Education (OAE). Professional staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty. Unless the student has a temporary disability, Accommodation letters are issued for the entire academic year. Students should contact the OAE as soon as possible since timely notice is needed to coordinate accommodations. The OAE is located at 563 Salvatierra Walk (phone: 723-1066, URL:

This is the syllabus for the Fall 2018 iteration of the course.
Event TypeDateDescriptionCourse Materials
Lecture 1 Tuesday
September 25
Course introduction
Computer vision overview
Course logistics
Slides [pptx] [pdf]
Logistics slides [pptx] [pdf]
Lecture 2 Thursday
September 27
Linear algrebra
Transformation matrixes
Eigenvalues and eigenvectors
Matrix calculus and hessian
Slides [pptx] [pdf]
Color Slides [pptx] [pdf]
HW0 Due Monday
October 1, 11:59pm
Homework #0 due
[Homework #0]
Lecture 3 Tuesday
October 2
Linear algebra continued & Pixels
Pixels and image representation
Slides [pptx] [pdf]
Lecture 4 Thursday
October 4
Linear systems
Convolutions and cross-correlations
Slides [pptx] [pdf]
Lecture 5 Tuesday
October 9
Edge detection
Derivative of gaussians
Sobel filters
Canny edge detector
Slides [pptx] [pdf]
Lecture 6 Thursday
October 11
Features and fitting
Local features
Harris corner detection
Slides [pptx] [pdf]
HW1 Due Friday
October 12, 11:59pm
Homework #1 due
Filters - Instagram
[Homework #1]
Lecture 7 Tuesday
October 16
Feature descriptors
Difference of gaussians
Scale invariant feature transform
Image stitching
Slides [pptx] [pdf]
Lecture 8 Thursday
October 18
Energy function
Seam carving
Slides [pptx] [pdf]
HW2 Due Friday
October 19, 11:59pm
Homework #2 due
Edges - Smart car lane detection
[Homework #2]
Lecture 9 Tuesday
October 23
Semantic segmentation
Gestalt theory of perceptual grouping
Aggomerative clustering
Superpixels and oversegmentation
Slides [pptx] [pdf]
Lecture 10 Thursday
October 25
Mean shift
Slides [pptx] [pdf]
HW3 Due Friday
October 26, 11:59pm
Homework #3 due
Panorama - Image stitching
[Homework #3]
Lecture 11 Tuesday
October 30
Object recognition
Nearest neighbors
Classification pipeline
Slides [pptx] [pdf]
Lecture 12 Thursday
November 1
Dimensionality reduction
Singular value decomposition
Principal component analysis
Slides [pptx] [pdf]
HW4 Due Friday
November 2, 11:59pm
Homework #4 due
Resizing - Seam carving
[Homework #4]
Lecture 13 Tuesday
November 6
Face identification
Eigenfaces and fisherfaces
Linear Discriminant Analysis
Slides [pptx] [pdf]
Lecture 14 Thursday
November 8
Visual Bag of Words
Texture features
Visual bag of words
Image pyramids
Slides [pptx] [pdf]
HW5 Due Friday
November 9, 11:59pm
Homework #5 due
Segmentation - Clustering
[Homework #5]
Lecture 15 Tuesday
November 13
Detecting objects by parts
Deformable parts model
Object detection
Slides [pptx] [pdf]
Lecture 16 Thursday
November 15
Visual ontologies
Semantic hierarchy
Fine grained classes
Slides [pptx] [pdf]
HW6 Due Friday
November 16, 11:59pm
Homework #6 due
Recognition - Classification
[Homework #6]
Lecture 17 Tuesday
November 27
Optical Flow
Lucas-Kanade method
Horn-Schunk Method
Pyramids for large motion
Common Fate
Slides [pptx] [pdf]
Lecture 18 Thursday
November 29
Feature Tracking
Lucas Kanade Tomasi (KLT) tracker
Slides [pptx] [pdf]
HW7 Due Friday
November 30, 11:59pm
Homework #7 due
Object detection - constellation models
[Homework #7]
Lecture 19 Tuesday
December 4
Deep learning
Convolutional neural networks
Slides [pptx] [pdf]
Lecture 20 Thursday
December 7
Deep Learning continued + Final Review
Convolutions - revisited
Slides [pptx] [pdf]
HW8 Due Friday
December 8, 11:59pm
Homework #8 due
Tracking - Optical flow
[Homework #8]
Final Monday December 10, 12:15 to 3:15pm
Location: 420-040
Practice exam available on Piazza.