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
delaunoy_prados_belhumeur.pdf (4.97 Mo)
Télécharger le fichier
delaunoy.jpg (190.97 Ko)
Télécharger le fichier
hemlholtz.png (200.54 Ko)
Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Format : Figure, Image
Loading...