Multiview stereo and silhouette fusion via minimizing generalized reprojection error

Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes

This article proposes a variational multi-view stereo vision method based on meshes for recovering 3D scenes (shape and radiance) from images. Our method is based on generative models and minimizes the reprojection error (difference between the observed images and the images synthesized from the reconstruction). Our contributions are twofold. 1) For the first time, we rigorously compute the gra...

Silhouette and Stereo Fusion for 3D Object Modeling

In this paper we present a new approach to high quality 3D object reconstruction. Starting from a calibrated sequence of color images, the algorithm is able to reconstruct both the 3D geometry and the texture. The core of the method is based on a deformable model, which defines the framework where texture and silhouette information can be fused. This is achieved by defining two external forces ...

Stéréo multi-vues : erreur de reprojection et maillages triangulaires Multi-view Stereo : Reprojection Error and Triangular Meshes

This article proposes a variational multi-view stereo vision method based on meshes for recovering 3D scenes (shape and radiance) from images. Our method is based on generative models and minimizes the reprojection error (difference between the observed images and the images synthesized from the reconstruction). For the first time, we rigorously compute the gradient of the reprojection error fo...

Stereo and Multiview Geometry

Multiview LSA: Representation Learning via Generalized CCA

Multiview LSA (MVLSA) is a generalization of Latent Semantic Analysis (LSA) that supports the fusion of arbitrary views of data and relies on Generalized Canonical Correlation Analysis (GCCA). We present an algorithm for fast approximate computation of GCCA, which when coupled with methods for handling missing values, is general enough to approximate some recent algorithms for inducing vector r...