@inproceedings{Kim09IMVIP,
title =  {3D Head Reconstruction using Multi-camera Stream},
author =  {D. Kim and R. Dahyot},
booktitle =  {International Machine Vision and Image Processing conference (IMVIP 2009)}, 
pages =  {156-161}, 
address =  {Dublin, Ireland}, 
month =  {September},
year =  {2009},
abstract = {Given information from many cameras, one can hope to get a complete 3D representation of an object. 
Pintavirooj and Sangworasil exploit this idea and present a system that records sequentially images from multiple view points
to reconstruct a 3D shape of a static object of interest [1]. For instance, using a 60 angle of view on the image, 
they manage to get its accurate 3D reconstruction [1]. Unfortunately, when considering application such as video surveillance,
it is not reasonable to expect that 60 cameras will give simultaneous images of a person of interest. However, we can expect that 
the person will move over time and show sequentially different poses of her/his head to at least one or a few cameras.
This article proposes a technique for recovering an accurate 3D shape by combining views recorded at different times.},
url =  {https://ieeexplore.ieee.org/document/5319298/}, 
doi =  {10.1109/IMVIP.2009.35}}

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