Capture

We present a system specifically designed for capturing the optical properties of live human teeth such that they can be realistically re-rendered in computer graphics.

We present a method to acquire dynamic properties of facial skin appearance, including dynamic diffuse albedo encoding blood flow, dynamic specular intensity, and per-frame high-resolution normal maps for a facial performance sequence.

We propose a novel jaw rig, empirically designed from captured data, that provides more accurate jaw positioning and constrains the motion to physiologically possible poses while offering intuitive control.

We present a novel user-guided approach to correcting these common lip shape errors present in traditional capture systems.

We provide an in-depth overview of the underlying concepts of real-world image formation, and we discuss common assumptions and simplifications that make these algorithms practical.

This paper presents an approach to directly estimate an HDR light probe from a single LDR photograph, shot outdoors with a consumer camera, without specialized calibration targets or equipment.

We present a low-cost solution for yaw drift in head-mounted display systems that performs better than current commercial solutions and provides a wide capture area for pose tracking.

We present a system for rapid acquisition of bespoke, animatable, full-body avatars including face texture and shape.

We believe our work is a step towards making captured data more accessible to artists for foliage modelling