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Course Offerings

Course Evaluation Results

Course Details

Fall 2018-2019
* COS 429   Graded A-F, P/D/F, Audit

Computer Vision

Jia Deng

This course is an introduction to the concepts of 2D and 3D computer vision. It surveys a wide range of topics from level-level vision to high-level recognition. We will discuss concepts such as filtering and edge detection; cameras and shape reconstruction; segmentation and clustering; optical flow and tracking; object recognition; motion recognition; statistical modeling of visual data, etc. Throughout the course, there will also be examination of aspects of human vision and perception that guide and inspire computer vision techniques.

Reading/Writing assignments:
Readings will be assigned (approximately 1 chapter per week) and/or classic research papers (1-2 papers per week). Programming assignments will be due every 2-3 weeks.

Mid Term Exam - 20%
Final Exam - 20%
Design Project - 12%
Programming Assignments - 40%
Problem set(s) - 8%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
COS 217 and COS 226. The course will require programming (in C, C++, Matlab and/or Python), as well as some background in data structures, linear algebra and probability. Experience with machine learning is useful, but not necessary..

Reserved Seats:
Open to Graduate Students Only 20


Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
21335 L01 03:00:00 pm - 04:20:00 pm T Th   Computer Science Building   104   Enrolled:67 Limit:100