CSE 252B: Computer Vision II

Winter 2018

Instructor: Ben Ochoa
Email: bochoa at
Office hours: M 8:00 PM-9:00 PM (primary) and W 8:00 PM-9:00 PM (secondary), EBU3B 4208, and at other times by appointment

TA: Zak Murez
Email: zmurez at
Office hours: Tu 3:30 PM-4:30 PM and F 11:30 AM-12:30 PM, EBU3B 4127 or 4148 (directly across the hall from 4127)

Note: when emailing the instructor or TA with questions about the class, please put "CSE 252B" in the subject line.

Class section ID: 927568
Lecture: MW 5:00 PM-6:20 PM, WLH 2111
Class discussion: Piazza

This course covers topics in imaging geometry using techniques from computer vision, photogrammetry, and projective geometry. These topics include methods for projecting a 3D scene to a 2D image, reconstructing a 3D scene from 2D images, and camera parameter estimation. Upon completion of this course, students will have an understanding of single and multiple view geometry, and the algorithms used in practice.

Prerequisites: Linear algebra, calculus, and probability and statistics. Python or other programming experience.

Assignments will be prepared using LaTeX. Programming aspects of the assignments will be completed using Python.

Late Policy: Assignments will have a submission procedure described with the assignment. Assignments submitted late will receive a 15% grade reduction for each 12 hours late (i.e., 30% per day). Assignments will not be accepted 72 hours after the due date. If you require an extension (for personal reasons only) to a due date, you must request one as far in advance as possible. Extensions requested close to or after the due date will only be granted for clear emergencies or clearly unforeseeable circumstances. You are advised to begin working on assignments as soon as they are assigned.

Academic Integrity Policy: Integrity of scholarship is essential for an academic community. The University expects that both faculty and students will honor this principle and in so doing protect the validity of University intellectual work. For students, this means that all academic work will be done by the individual to whom it is assigned, without unauthorized aid of any kind.

Collaboration Policy: It is expected that you complete your academic assignments on your own and in your own words and code. The assignments have been developed by the instructor to facilitate your learning and to provide a method for fairly evaluating your knowledge and abilities (not the knowledge and abilities of others). So, to facilitate learning, you are authorized to discuss assignments with others; however, to ensure fair evaluations, you are not authorized to use the answers developed by another, copy the work completed by others in the past or present, or write your academic assignments in collaboration with another person.

If the work you submit is determined to be other than your own, you will be reported to the Academic Integrity Office for violating UCSD's Policy on Integrity of Scholarship. In accordance with the CSE department academic integrity guidelines, students found committing an academic integrity violation will receive an F in the course.

Handouts/Readings and Assignments:

Lecture Topics (tentative):

Required textbook:

Multiple View Geometry in Computer Vision, 2nd edition
Richard Hartley and Andrew Zisserman
Cambridge University Press, 2004
[Cambridge Books Online] [Amazon] [Google]

Last update: March 17, 2018