Projects
Pfister Lab
Face Scanning
The goal of this project is to build high-quality statistical models for human faces. The applications of such models include face recognition, digital face aging, user interfaces, and face synthesis. We have built a scanning system that is able to capture images of human more »
Time-Lapse Video Factorization
We developed a method for converting time-lapse photography captured with outdoor cameras into Factored Time-Lapse Video (FTLV): a video in which time appears to move faster (i.e., lapsing) and where data at each pixel has been factored into shadow, illumination, and reflectance components. The factorization allows a user to easily relight the scene, recover a portion of the scene geometry (normals), and to perform advanced image editing operations. Our method is easy to implement, robust, and provides a compact representation with good reconstruction characteristics. more »
Zickler Lab
Shape from Specular Reflections
A curved specular surfaces presents an observer with a distorted view of its environment, and these distortions contain rich information about its shape. Humans seem to make use of this visual cue, but for the most part, machines do not. more »
Light-weight Appearance Capture
The goal of this project is to lay the foundation for ubiquitous image-based appearance capture systems. By developing tools that exploit common visual phenomena, we hope to build image-based appearance capture systems that are simultaneously accurate and practical. more »