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CSCI336 - Topics in Computer Vision

Course Details

Course Code: CSCI336 Course ID: 5395 Credit Hours: 3 Level: Undergraduate

The goal of this course is to introduce students to various computer vision techniques, beginning with the fundamentals and progressing to more advanced learning and attention concepts. Image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and image stylization, editing, and new image generation are some of the topics that will be covered. Students will learn how to use visual entropy and similar techniques to understand the key differences and overlaps between human-based and computer-based visual systems. (Prerequisite: CSCI335)





Prerequisites

Course Schedule

Registration Dates Course Dates Session Weeks
03/29/22 - 09/02/22 09/05/22 - 12/25/22 Summer 2022 Session C 16 Week session

Current Syllabi

Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Book Title:Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras, 1st ed. - eBook available in the APUS Online Library
ISBN:9781484266151
Publication Info:Apress Lib
Author:Verdhan, Vaibhav
Unit Cost:$39.99

Previous Syllabi

Not current for future courses.