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The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)
Scene Reconstruction with Sparse Range Information
The University of Victoria, Victoria, British Columbia, Canada
May 09-May 11
ISBN: 0-7695-2319-6
ASCII Text
x 
 
Guangyi Chen, Gregory Dudek, Luz A. Torres-M?ndez, "Scene Reconstruction with Sparse Range Information," Computer and Robot Vision, Canadian Conference, pp. 444-451, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CRV.2005.70,
author = {Guangyi Chen and Gregory Dudek and Luz A. Torres-M?ndez},
title = {Scene Reconstruction with Sparse Range Information},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2005},
isbn = {0-7695-2319-6},
pages = {444-451},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2005.70},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - Scene Reconstruction with Sparse Range Information
SN - 0-7695-2319-6
SP444
EP451
A1 - Guangyi Chen,
A1 - Gregory Dudek,
A1 - Luz A. Torres-M?ndez,
PY - 2005
KW - Scene reconstruction
KW - range data
KW - robotics
KW - computer vision
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Guangyi Chen, McGill University, Canada
Gregory Dudek, McGill University, Canada
Luz A. Torres-M?ndez, McGill University, Canada
This paper addresses an approach to scene reconstruction by inferring missing range data in a partial range map based on intensity image and sparse initial range data. It is assumed that the initial known range data is given on a number of scan lines one pixel width. This assumption is natural for a range sensor to acquire range data in a 3D real world environment. Both edge information of the intensity image and linear interpolation of the range data are used. Experiments show that this method gives very good results in inferring missing range data. It outperforms both the previous method and bilinear interpolation when a very small percentage of range data is known.
Index Terms:
Scene reconstruction, range data, robotics, computer vision
Citation:
Guangyi Chen, Gregory Dudek, Luz A. Torres-M?ndez, "Scene Reconstruction with Sparse Range Information," crv, pp.444-451, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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