CSC 452 - Computer Vision

Analysis of how real-world information can be computationally extracted from visual data. Foundation in digital image formation and processing, feature extraction and matching, and classification. Examination of a focused area of computer vision in-depth and analysis of classical and learning-based methods for performing a specific task such as object/scene recognition and retrieval, video tracking, or 3D reconstruction.

Credit Hours: 3

Prerequisite Courses: CSC 340 or ISE 221 or DSC 302, or instructor approval.
Crosslisting: No
Course Repeatability: Course may not be repeated.