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2003
IEEE

Silhouette and Stereo Fusion for 3D Object Modeling

10 years 4 months ago
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 based on the images: a texture driven force and a silhouette driven force. The texture force is computed in two steps: a multi-stereo correlation voting approach and a gradient vector flow diffusion. Due to the high resolution of the voting approach, a multi-grid version of the gradient vector flow has been developed. Concerning the silhouette force, a new formulation of the silhouette constraint is derived. It provides a robust way to integrate the silhouettes in the evolution algorithm. As a consequence, we are able to recover the contour generators of the model at the end of the iteratio...
Carlos Hernández Esteban, Francis Schmitt
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where 3DIM
Authors Carlos Hernández Esteban, Francis Schmitt
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