Without a strong model, 3-D shape recovery of non-rigid surfaces from monocular video sequences is a severely under-constrained problem. Prior models are required to resolve the inherent ambiguities. In our work, we have investigated several…
The use of categories to represent concepts (e.g., visual objects) is so prevalent in computer vision and machine learning that most researchers don’t give it a second thought. Faced with a new task, one simply…
Non-Photorealistic Rendering describes algorithms for creating images and animations inspired by traditional media for art and illustration. I will present some of my work in this area. Moreover, I argue that Non-Photorealistic Rendering (NPR) research…
Activity recognition in videos is a key task in video content extraction; it is needed for applications such as monitoring and alerts, content-based indexing and human-computer interaction. There are several alternative approaches to this task.…
Larry Larsen and Microsoft Research General Manager Kevin Schofield take a tour of Building 99. In this, the first of three parts, we check out one of the anechoic chambers used to create the technology…
Modern entertainment and gaming systems are complex systems where the human-machine interface plays a critical role. Sound capturing and enhancing for such systems poses challenges that are frequently underestimated. In this talk we will present…
The ability to place surface samples with Poisson disk distribution can benefit a variety of graphics applications. Such a distribution satisfies the blue noise property, i.e. lack of low frequency noise and structural bias in…
