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research article

Bound and Conquer: Improving Triangulation by Enforcing Consistency

Scholefield, Adam James  
•
Ghasemi, Alireza  
•
Vetterli, Martin  
September 13, 2019
IEEE Transactions on Pattern Analysis and Machine Intelligence

We study the accuracy of triangulation in multi-camera systems with respect to the number of cameras. We show that, under certain conditions, the optimal achievable reconstruction error decays quadratically as more cameras are added to the system. Furthermore, we analyse the error decay-rate of major state-of-the-art algorithms with respect to the number of cameras. To this end, we introduce the notion of consistency for triangulation, and show that consistent reconstruction algorithms achieve the optimal quadratic decay, which is asymptotically faster than some other methods. Finally, we present simulations results supporting our findings. Our simulations have been implemented in MATLAB and the resulting code is available in the supplementary material.

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Type
research article
DOI
10.1109/TPAMI.2019.2939530
Author(s)
Scholefield, Adam James  
Ghasemi, Alireza  
Vetterli, Martin  
Date Issued

2019-09-13

Published in
IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume

42

Issue

9

Start page

2321

End page

2326

Subjects

Multi-camera imaging

•

Multiple-view geometry

•

Triangulation

•

LCAV-MSP

•

LCAV-IVP

URL

Code and data

https://codeocean.com/capsule/3631355/tree/v1
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCAV  
Available on Infoscience
March 2, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/145148
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