Imperial College London

ProfessorAbhijeetGhosh

Faculty of EngineeringDepartment of Computing

Professor of Graphics and Imaging
 
 
 
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Contact

 

+44 (0)20 7594 8351abhijeet.ghosh Website

 
 
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Location

 

376Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Lattas:2022:10.1007/978-3-031-20068-7_30,
author = {Lattas, A and Lin, Y and Kannan, J and Ozturk, E and Filipi, L and Guarnera, GC and Chawla, G and Ghosh, A},
doi = {10.1007/978-3-031-20068-7_30},
pages = {522--537},
publisher = {Springer},
title = {Practical and scalable desktop-based high-quality facial capture},
url = {http://dx.doi.org/10.1007/978-3-031-20068-7_30},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - We present a novel desktop-based system for high-qualityfacial capture including geometry and facial appearance. The proposedacquisition system is highly practical and scalable, consisting purely ofcommodity components. The setup consists of a set of displays for con-trolled illumination for reflectance capture, in conjunction with multi-view acquisition of facial geometry. We additionally present a novel setof modulated binary illumination patterns for efficient acquisition of re-flectance and photometric normals using our setup, with diffuse-specularseparation. We demonstrate high-quality results with two different vari-ants of the capture setup – one entirely consisting of portable mobiledevices targeting static facial capture, and the other consisting of desk-top LCD displays targeting both static and dynamic facial capture.
AU - Lattas,A
AU - Lin,Y
AU - Kannan,J
AU - Ozturk,E
AU - Filipi,L
AU - Guarnera,GC
AU - Chawla,G
AU - Ghosh,A
DO - 10.1007/978-3-031-20068-7_30
EP - 537
PB - Springer
PY - 2022///
SN - 0302-9743
SP - 522
TI - Practical and scalable desktop-based high-quality facial capture
UR - http://dx.doi.org/10.1007/978-3-031-20068-7_30
UR - https://doi.org/10.1007/978-3-031-20068-7_30
UR - http://hdl.handle.net/10044/1/100491
ER -