3D Head Reconstruction using Multi-camera Stream. Kim, D. & Dahyot, R. In International Machine Vision and Image Processing conference (IMVIP 2009), pages 156-161, Dublin, Ireland, September, 2009.
Paper doi abstract bibtex 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.
@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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