Graphics and multimedia
Project Vermont: Improving camera performance through curved image sensors
By Richard Stoakley, Microsoft Research It’s hard to remember when our world wasn’t full of cameras. They’re in our phones and tablets, posted on street corners and in our buildings and cars. We rely on…
Project Vermont: Curved Camera Sensors
While significant advances have been made to camera sensors and the algorithms that process images, optical systems have not seen the same radical improvements. The Project Vermont Team set out to solve one of the…
Audio Signal Processing
Audio signal processing is a key component of real-time, computer communication systems. In this project, we are exploring new adaptive signal processing methods for improving audio. Primary focuses including acoustic echo cancellation, acoustic echo suppression,…
Fine-grained Image Recognition
Recognizing fine-grained categories (e.g., bird species) is difficult due to the challenges of discriminative region localization and fine-grained feature learning. In this project, we are aiming at recognizing the fine-grained image categories at a very…
Holograms: The future of near-eye display?
By Andrew Maimone, Researcher; Andreas Georgiou, Researcher; Joel Kollin, Principal Research Hardware Development Engineer Last week at the SCIEN Workshop on Augmented and Mixed Reality, a group of industry and academic researchers met to discuss the future of…
Holographic Near-Eye Displays for Virtual and Augmented Reality
We present novel designs for virtual and augmented reality near-eye displays based on phase-only holographic projection. For more information, please visit our project page and blog.
Holographic Near-Eye Displays for Virtual and Augmented Reality
Summary In this project, we explore how digital holography can be used to build novel near-eye displays for virtual and mixed (or augmented) reality. We experiment with true, phase-only holograms in which the image is formed by the interference…