Mesh from Depth Images Using GR2T. Grogan, M. & Dahyot, R. In Irish Machine Vision and Image Processing Conference, pages 15-20, Derry-Londonderry, Northern Ireland, 27-29 August, 2014. URI: http://hdl.handle.net/2262/71411Paper abstract bibtex 1 download This paper proposes an algorithm for inferring a 3D mesh using the robust cost function proposed by Ruttle et al. Our contribution is in proposing a new algorithm for inference that is very suitable for parallel architecture. The cost function also provides a goodness of fit for each element of the mesh which is correlated to the distance to the ground truth, hence providing informative feedback to users.
@inproceedings{GroganIMVIP2014,
title = {Mesh from Depth Images Using GR2T},
author = {M. Grogan and R. Dahyot},
booktitle = {Irish Machine Vision and Image Processing Conference},
address = {Derry-Londonderry, Northern Ireland},
abstract = {This paper proposes an algorithm for inferring a 3D mesh using the robust cost function
proposed by Ruttle et al. Our contribution is in proposing a new algorithm for
inference that is very suitable for parallel architecture. The cost function also provides
a goodness of fit for each element of the mesh which is correlated to the distance to the
ground truth, hence providing informative feedback to users.},
keywords = {3D reconstruction, Depth images, Generalised Relaxed Radon Transform},
pages = {15-20},
month = {27-29 August},
year = {2014},
note = {URI: http://hdl.handle.net/2262/71411},
url = {http://www.tara.tcd.ie/bitstream/handle/2262/71411/IMVIP2014_Proceedings.pdf}}
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