SIGGRAPH 2010 By Focus
High-Quality Single Shot Capture of Facial Geometry
This systems paper describes a passive stereo system for capturing 3D facial geometry in a single shot. Results are commensurate with leading-edge active light systems. This paper's primary theoretical contribution is augmentation of stereo optimization methods to recover pore-scale geometry, using a qualitative approach that produces visually realistic results.
High-Resolution Passive Facial Performance Capture
A new technique for capturing the geometry and motion of human faces that does not require markers, face paint, or structured light. Based on a novel acquisition setup, multi-view stereo, and optical flow, the technique captures facial performances in very high resolution with time-varying, highly detailed textures.
Temporal Upsamplng of Performance Geometry Using Photometric Alignment
This technique uses extended spherical-gradient illumination to acquire detailed facial geometry of a dynamic performance. The method employs a novel algorithm to jointly align two photographs - under a gradient illumination condition and its complement - to a full-on tracking frame, achieving dense temporal and spatial registration.
VideoMocap: Modeling Physically Realistic Human Motion From Monocular Video Sequences
A new video-based motion-modeling system to generate physically realistic human motion from monocular video sequences. During reconstruction, the method leverages Newtonian physics, contact constraints, and 2D image measurement to reconstruct 3D full-body poses as well as joint torques and contact forces.