1083@2022@ECCV

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#1 Practical and Scalable Desktop-Based High-Quality Facial Capture [PDF] [Copy] [Kimi] [REL]

Authors: Alexandros Lattas ; Yiming Lin ; Jayanth Kannan ; Ekin Ozturk ; Luca Filipi ; Giuseppe Claudio Guarnera ; Gaurav Chawla ; Abhijeet Ghosh

We present a novel desktop-based system for high-quality facial capture including geometry and facial appearance. The proposed acquisition system is highly practical and scalable, consisting purely of commodity components. The setup consists of a set of displays for controlled illumination for reflectance capture, in conjunction with multiview acquisition of facial geometry. We additionally present a novel set of binary illumination patterns for efficient acquisition of reflectance and photometric normals using our setup, with diffuse-specular separation. We demonstrate high-quality results with two different variants of the capture setup - one entirely consisting of portable mobile devices targeting static facial capture, and the other consisting of desktop LCD displays targeting both static and dynamic facial capture.