2020-2021 1st Term

Digital Image Processing
[Chinese]
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Course Overview

The goal of computer vision is to compute properties of the three-dimensional world from images and video. Problems in this field include identifying the 3D shape of a scene, determining how things are moving, and recognizing familiar people and objects. This course provides an introduction to computer vision, including such topics as image processing, feature extraction, object description, image segmentation, object recognition, and object tracking.

Announcements

Sep 1, 2020: Welcome to 07010667!

The course page is being updated, more information will come soon. The prerequisites of undergraduate level courses in linear algebra, probability, and machine learning are recommended.

Course Information

Course Instructor

Time and Classroom

Wednesday 8:00 am - 9:40 am, Computer Teaching Center 102
Friday 10:00 am - 11:40 am, 115

Textbook

Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing (Third Edition). link

Grading Policy

Attendance: 20%
Assignments: 30%
Course project: 50%

 


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