Research
We present “appearance-from-motion”, a novel method for recovering the spatially varying isotropic surface reflectance from a video of a rotating subject, with known geometry, under unknown natural illumination. We formulate the appearance recovery as an…
Dynamic hair strands have complex structures and experience intricate collisions and occlusion, posing significant challenges for high-quality reconstruction of their motions. We present a comprehensive dynamic hair capture system for reconstructing realistic hair motions from…
This paper presents a facial performance capture system that automatically captures high-fidelity facial performances using uncontrolled monocular videos (e.g., Internet videos). We start the process by detecting and tracking important facial features such as the…
When it comes to research, the concept of “head-banging” most likely conjures images of researchers banging their heads against walls or dry-erase boards. But for Microsoft researcher Andrew Fitzgibbon, it’s about inspiration. “I was on…