A Snake Approach for High Quality Image-based 3D Object Modeling
نویسندگان
چکیده
In this paper we present a new approach to high quality 3D object reconstruction by using well known computer vision techniques. Starting from a calibrated sequence of color images, we are able to recover both the 3D geometry and the texture of the real object. The core of the method is based on a classical deformable model, which defines the framework where texture and silhouette information are used as external energies to recover the 3D geometry. A new formulation of the silhouette constraint is derived, and a multi-resolution gradient vector flow diffusion approach is proposed for the stereo-based energy term.
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