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New Multi-baseline Stereo by Counting Interest Points
The University of Victoria, Victoria, British Columbia, Canada May 09-May 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.56The 2nd Canadian Conference on Comput ...
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Tomokazu Sato, Naokazu Yokoya, "New Multi-baseline Stereo by Counting Interest Points," Computer and Robot Vision, Canadian Conference, pp. 96-103, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005.
 
 
BibTex
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@article{ 10.1109/CRV.2005.56,
author = {Tomokazu Sato and Naokazu Yokoya},
title = {New Multi-baseline Stereo by Counting Interest Points},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2005},
isbn = {0-7695-2319-6},
pages = {96-103},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2005.56},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - New Multi-baseline Stereo by Counting Interest Points
SN - 0-7695-2319-6
SP96
EP103
A1 - Tomokazu Sato,
A1 - Naokazu Yokoya,
PY - 2005
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Tomokazu Sato, Nara Institute of Science and Technology, Japan
Naokazu Yokoya, Nara Institute of Science and Technology, Japan
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting interest points in images is integrated with the framework of multi-baseline stereo. Even by a simple algorithm, depth can be determined without computing similarity measures such as SSD and NCC that have been used for traditional stereo matching. Our method realizes robust depth estimation against image distortions and occlusions that are caused by camera motion. Note that, in this paper, intrinsic and extrinsic parameters of video camera are assumed to be calibrated in advance.
Citation:
Tomokazu Sato, Naokazu Yokoya, "New Multi-baseline Stereo by Counting Interest Points," crv, pp.96-103, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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