Overview of computer vision problems and techniques for analyzing the content of images and video. Topics include image formation, alignment and warping; stereo vision; feature extraction, matching, and tracking; deep learning-based object detection, recognition, and segmentation; and case studies of practical vision systems.
This graduate course will introduce students to the multidisciplinary field of bionic vision viewed through the lens of computer science, neuroscience, and human-computer interaction.
An overview of theory and research in visual neuroscience. Topics may include: a focus on mammalian vision considering evidence from behavioral and biological approaches.