3D Modeling Using Geometric Constraints: A Parallelepiped Based Approach

Marta Wilczkowiak 1 Edmond Boyer 1 Peter Sturm 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this paper, efficient and generic tools for calibration and 3D reconstruction are presented. These tools exploit geometric constraints frequently present in man-made environments and allow camera calibration as well as scene structure to be estimated with a small amount of user interactions and little a priori knowledge. The proposed approach is based on primitives that naturally characterize rigidity constraints: parallelepipeds. It has been shown previously that the intrinsic metric characteristics of a parallelepiped are dual to the intrinsic characteristics of a perspective camera. Here, we generalize this idea by taking into account additional redundancies between multiple images of multiple parallelepipeds. We propose a method for the estimation of camera and scene parameters that bears strong similarities with some self-calibration approaches. Taking into account prior knowledge on scene primitives or cameras, leads to simpler equations than for standard self-calibration, and is expected to improve results, as well as to allow structure and motion recovery in situations that are otherwise under-constrained. These principles are illustrated by experimental calibration results and several reconstructions from uncalibrated images.
Type de document :
Communication dans un congrès
Anders Heyden and Gunnar Sparr and Mads Nielsen and Peter Johansen. 7th European Conference on Computer Vision (ECCV '02), May 2002, Copenhagen, Denmark. Springer-Verlag, 4, pp.221-237, 2002, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/6fdyecufl3hjygn0/〉. 〈10.1007/3-540-47979-1_15〉
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00525644
Contributeur : Peter Sturm <>
Soumis le : jeudi 26 mai 2011 - 13:41:33
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04
Document(s) archivé(s) le : samedi 27 août 2011 - 02:23:02

Fichiers

WilczkowiakBoyerSturm-eccv02.p...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

INRIA | IMAG | UGA

Citation

Marta Wilczkowiak, Edmond Boyer, Peter Sturm. 3D Modeling Using Geometric Constraints: A Parallelepiped Based Approach. Anders Heyden and Gunnar Sparr and Mads Nielsen and Peter Johansen. 7th European Conference on Computer Vision (ECCV '02), May 2002, Copenhagen, Denmark. Springer-Verlag, 4, pp.221-237, 2002, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/6fdyecufl3hjygn0/〉. 〈10.1007/3-540-47979-1_15〉. 〈inria-00525644〉

Partager

Métriques

Consultations de la notice

345

Téléchargements de fichiers

318