Computer Vision
Enabling computers and devices to understand what they see.
Video
CrossMotion: Fusing Device and Image Motion for User Identification, Tracking and Device Association
Identifying and tracking people and mobile devices indoors has many applications, but is still a challenging problem. We introduce a cross-modal sensor fusion approach to track mobile devices and the users carrying them. The CrossMotion…
Publication
Revisiting Bayesian Blind Deconvolution
Publication
Assembling self-supporting structures
Publication
Fast Burst Images Denoising
Microsoft Research Blog
A New, Deep-Learning Take on Image Recognition
In recent months, we’ve heard a lot about deep neural networks and deep learning—take Project Adam, for example—and the sometimes eye-popping results they can have in addressing longstanding computing problems. The field of image recognition…
Video
Handpose: Fully Articulated Hand Tracking
Introducing a new real-time articulated hand tracker which can enable new possibilities for human-computer interaction (HCI). Our system accurately reconstructs complex hand poses across a variety of subjects using only a single depth camera. It…
Project
Fully Articulated Hand Tracking
We present a new real-time articulated hand tracker which can enable new possibilities for human-computer interaction (HCI). Our system accurately reconstructs complex hand poses across a variety of subjects using only a single depth camera.…