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Practical and Scalable Desktop-Based High-Quality Facial Capture

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Computer Vision – ECCV 2022 (ECCV 2022)


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 modulated 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.

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Correspondence to Abhijeet Ghosh .

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Lattas, A. et al. (2022). Practical and Scalable Desktop-Based High-Quality Facial Capture. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds) Computer Vision – ECCV 2022. ECCV 2022. Lecture Notes in Computer Science, vol 13666. Springer, Cham.

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  • Print ISBN: 978-3-031-20067-0

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