CSCI2951-I
Computer Vision for Graphics and Interaction
Fall 2024
Computer vision reconstructs real world information from image and video data; computer graphics synthesizes dynamic virtual worlds; interaction lets us explore these worlds; and machine learning allows us to map between domains across vision, graphics, and interaction. In visual computing, these fields converge to exploit both models of visual appearance and databases of examples to generate and interact with new images. This enables applications from the seemingly simple, like semantic photo editing, to the seemingly science fiction, like mixed reality. In this seminar, we will discover the state-of-the-art algorithmic contributions in computer vision which make this possible. Please join us!
Instructor's Permission Required
| Instructor(s): | |
| Home Page: | https://cs.brown.edu/courses/csci2951-i/ |
| Meets: | MW 3pm-4:20pm in CIT Center (Thomas Watson CIT) 241 |
| Exam: | No final exam has been scheduled for this course by the department through the registrar's office. Please consult syllabus or contact instructor. If an exam were to have scheduled, it would have been held: |
| Max Seats: | 25 |
| CRN: | 18153 |
