CSCI3343 · Computer Science
Morrissey College of Arts & Sciences
Computers are gaining abilities to "see" things just like our vision system. Face recognition has been embedded in almost all the digital cameras. Car detection and tracking have been used in self-driving vehicles. Modern search engines are not only able to find similar text patterns but also able to search for similar objects in huge image database. This course is to introduce principles and computational methods of obtaining information from images and videos. Topics include image processing, shape analysis, image matching, segmentation, 3D projective geometry, object tracking, human pose and action, image retrieval, and object recognition.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.2 / 5
How well the course was organized
Challenge
4.9 / 5
How intellectually challenging students found it
Attendance
3.3 / 5
How necessary attendance was
Assignments
4.1 / 5
How helpful assignments were
Weekly effort
~6
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Fall 2022
1 sectionFall 2021
1 section