James Tompkin - More Cameras and Better Cameras

Описание: October 13th, 2022. Columbia University

Abstract:

Scene reconstruction enables applications across visual computing, including media creation and editing, and capturing the real-world for telecommunication. Building better cameras through multimodal sensing could help us as long as we can integrate their signals effectively, and I will discuss one way to add time-of-flight imaging to volume reconstruction to aid monocular dynamic scene reconstruction (imaging.cs.cmu.edu/torf/). More cameras can also help us reconstruct larger scenes as long as we can scale our methods effectively, and I will discuss one way to achieve this through hybrid neural fields for high-quality indoor reconstruction and interactive rendering (https://xchaowu.github.io/papers/scal.... Finally, in Q&A, we will discuss the merits of cameras that 'do more with less', or whether 'more really is better'.

Bio:

James Tompkin is the John E. Savage Assistant Professor of Computer Science at Brown University. His research at the intersection of computer vision, computer graphics, and human-computer interaction helps develop new visual computing tools and experiences. His doctoral work at University College London on large-scale video processing and exploration techniques led to creative exhibition work in the Museum of the Moving Image in New York City. Postdoctoral work at Max-Planck-Institute for Informatics and Harvard University helped create new methods to edit content within images and videos. Recent research has developed new techniques for low-level depth reconstruction, view synthesis for VR, and content editing and generation.