LeHavreV1, France, Analysis, bibRecord, 000119

LMI-based 2D-3D Registration: from Uncalibrated Images to Euclidean Scene

Identifieur interne : 000119 ( France/Analysis ); précédent : 000118; suivant : 000120

LMI-based 2D-3D Registration: from Uncalibrated Images to Euclidean Scene

Auteurs : Danda Pani Paudel [France] ; Adlane Habed [France] ; Cedric Demonceaux [France] ; Pascal Vasseur [France]

Source :

RBID : Hal:hal-01149529

Abstract

This paper investigates the problem of registering a scanned scene, represented by 3D Euclidean point coordinates , and two or more uncalibrated cameras. An unknown subset of the scanned points have their image projections detected and matched across images. The proposed approach assumes the cameras only known in some arbitrary projective frame and no calibration or autocalibration is required. The devised solution is based on a Linear Matrix Inequality (LMI) framework that allows simultaneously estimating the projective transformation relating the cameras to the scene and establishing 2D-3D correspondences without triangulating image points. The proposed LMI framework allows both deriving triangulation-free LMI cheirality conditions and establishing putative correspondences between 3D volumes (boxes) and 2D pixel coordinates. Two registration algorithms, one exploiting the scene's structure and the other concerned with robustness, are presented. Both algorithms employ the Branch-and-Prune paradigm and guarantee convergence to a global solution under mild initial bound conditions. The results of our experiments are presented and compared against other approaches.

Url:

https://hal.inria.fr/hal-01149529

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000195
to stream Hal, to step Curation: 000195
to stream Hal, to step Checkpoint: 000057
to stream Main, to step Merge: 000122
to stream Main, to step Curation: 000122
to stream Main, to step Exploration: 000122
to stream France, to step Extraction: 000119

Links to Exploration step

Hal:hal-01149529

Le document en format XML

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<front><div type="abstract" xml:lang="en">This paper investigates the problem of registering a scanned scene, represented by 3D Euclidean point coordinates , and two or more uncalibrated cameras. An unknown subset of the scanned points have their image projections detected and matched across images. The proposed approach assumes the cameras only known in some arbitrary projective frame and no calibration or autocalibration is required. The devised solution is based on a Linear Matrix Inequality (LMI) framework that allows simultaneously estimating the projective transformation relating the cameras to the scene and establishing 2D-3D correspondences without triangulating image points. The proposed LMI framework allows both deriving triangulation-free LMI cheirality conditions and establishing putative correspondences between 3D volumes (boxes) and 2D pixel coordinates. Two registration algorithms, one exploiting the scene's structure and the other concerned with robustness, are presented. Both algorithms employ the Branch-and-Prune paradigm and guarantee convergence to a global solution under mild initial bound conditions. The results of our experiments are presented and compared against other approaches.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Alsace (région administrative)</li>
<li>Grand Est</li>
<li>Haute-Normandie</li>
<li>Région Bourgogne</li>
<li>Région Normandie</li>
</region>
<settlement><li>Dijon</li>
<li>Le Havre</li>
<li>Rouen</li>
<li>Strasbourg</li>
</settlement>
<orgName><li>Université de Bourgogne</li>
<li>Université de Bourgogne Franche-Comté</li>
<li>Université de Rouen</li>
<li>Université de Strasbourg</li>
<li>Université du Havre</li>
</orgName>
</list>
<tree><country name="France"><region name="Région Bourgogne"><name sortKey="Paudel, Danda Pani" sort="Paudel, Danda Pani" uniqKey="Paudel D" first="Danda Pani" last="Paudel">Danda Pani Paudel</name>
</region>
<name sortKey="Demonceaux, Cedric" sort="Demonceaux, Cedric" uniqKey="Demonceaux C" first="Cedric" last="Demonceaux">Cedric Demonceaux</name>
<name sortKey="Habed, Adlane" sort="Habed, Adlane" uniqKey="Habed A" first="Adlane" last="Habed">Adlane Habed</name>
<name sortKey="Vasseur, Pascal" sort="Vasseur, Pascal" uniqKey="Vasseur P" first="Pascal" last="Vasseur">Pascal Vasseur</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/France/explor/LeHavreV1/Data/France/Analysis

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000119 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000119 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/France
   |area=    LeHavreV1
   |flux=    France
   |étape=   Analysis
   |type=    RBID
   |clé=     Hal:hal-01149529
   |texte=   LMI-based 2D-3D Registration: from Uncalibrated Images to Euclidean Scene
}}

This area was generated with Dilib version V0.6.25.
Data generation: Sat Dec 3 14:37:02 2016. Site generation: Tue Mar 5 08:25:07 2024

	Serveur d'exploration sur la visibilité du Havre
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la visibilité du Havre

LMI-based 2D-3D Registration: from Uncalibrated Images to Euclidean Scene

LMI-based 2D-3D Registration: from Uncalibrated Images to Euclidean Scene

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri