Towards Full 3D Helmholtz Stereovision Algorithms - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Towards Full 3D Helmholtz Stereovision Algorithms

Abstract

Helmholtz stereovision methods are limited to binocular stereovision or depth maps reconstruction. In this paper, we extend these methods to recover the full 3D shape of the objects of a scene from multiview Helmholtz stereopsis. Thus, we are able to reconstruct the complete three-dimensional shape of objects made of any arbitrary and unknown bidirectional reflectance distribution function. Unlike previous methods, this can be achieved using a full surface representation model. In particular occlusions (self occlusions as well as cast shadows) are easier to handle in the surface optimization process. More precisely, we use a triangular mesh representation which allows to naturally specify relationships between the geometry of a point of the scene and its surface normal. We show how to implement the presented approach using a coherent gradient descent flow. Results and benefits are illustrated on various examples.
Fichier principal
Vignette du fichier
delaunoy_prados_belhumeur.pdf (4.97 Mo) Télécharger le fichier
Vignette du fichier
delaunoy.jpg (190.97 Ko) Télécharger le fichier
Vignette du fichier
hemlholtz.png (200.54 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Format : Figure, Image
Loading...

Dates and versions

inria-00525867 , version 1 (14-10-2010)

Identifiers

Cite

Amael Delaunoy, Emmanuel Prados, Peter Belhumeur. Towards Full 3D Helmholtz Stereovision Algorithms. ACCV 2007 - 8th Asian Conference on Computer Vision, Nov 2010, Queenstown, New Zealand. pp.39-52, ⟨10.1007/978-3-642-19315-6_4⟩. ⟨inria-00525867⟩
483 View
371 Download

Altmetric

Share

Gmail Facebook X LinkedIn More