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Combinatorial Clustering and Its Application to 3D Polygonal Traffic Sign Reconstruction from Multiple Images : Volume Ii-3, Issue 1 (07/08/2014)

By Vallet, B.

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Book Id: WPLBN0003981715
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Combinatorial Clustering and Its Application to 3D Polygonal Traffic Sign Reconstruction from Multiple Images : Volume Ii-3, Issue 1 (07/08/2014)  
Author: Vallet, B.
Volume: Vol. II-3, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Brédif, M., Soheilian, B., & Vallet, B. (2014). Combinatorial Clustering and Its Application to 3D Polygonal Traffic Sign Reconstruction from Multiple Images : Volume Ii-3, Issue 1 (07/08/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Université Paris-Est, IGN/SRSIG, MATIS, 73 avenue de Paris, 94165 Saint-Mandé, France. The 3D reconstruction of similar 3D objects detected in 2D faces a major issue when it comes to grouping the 2D detections into clusters to be used to reconstruct the individual 3D objects. Simple clustering heuristics fail as soon as similar objects are close. This paper formulates a framework to use the geometric quality of the reconstruction as a hint to do a proper clustering. We present a methodology to solve the resulting combinatorial optimization problem with some simplifications and approximations in order to make it tractable. The proposed method is applied to the reconstruction of 3D traffic signs from their 2D detections to demonstrate its capacity to solve ambiguities.

Summary
Combinatorial clustering and Its Application to 3D Polygonal Traffic Sign Reconstruction From Multiple Images

 

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