CSCI2952-K
Topics in 3D Computer Vision and Deep Learning
Spring 2025
We live in a world that spans 3 dimensions. Cameras and sensors image the 3D world by projecting to a 2D plane. How can we recover the 3D world back from these images? What techniques can we use to process 3D data? In this course we will study computer vision and machine learning techniques to recover 3D information of the world from images, and process and understand 3D data. We will learn about classical computer vision techniques but focus on cutting-edge deep learning methods. The techniques we will study are widely used, for instance, in self-driving cars and smartphone AR face filter apps.
Instructor(s): | |
Meets: | TTh 9am-10:20am in CIT Center (Thomas Watson CIT) 241 |
Exam: | If an exam is scheduled for the final exam period, it will be held: |
Max Seats: | 40 |
CRN: | 27962 |