CPSI 43003 - Perception and Computer Vision

Three credit hours.

This course explores the interdisciplinary foundations and methods of perception and computer vision. Students will study how humans and machines perceive and interpret visual information, covering image processing, feature extraction, object recognition, and deep learning for vision. Emphasis will be placed on connections between human perceptual processes and computational models, and students will critically examine the limitations, ethical concerns, and societal implications of deploying perception-driven AI systems.

Prerequisites: CPSI 31303