Recent methods for reconstructing surfaces from multiple images

Abstract

Many objects can be mathematically represented as smooth surfaces with arbitrary topology, and smooth surface reconstruction from images could be cast into a variational problem. The main difficulties are the intrinsic ill-posedness of the reconstruction, image noise, efficiency and scalability. In this paper, we discuss the reconstruction approaches that use volumetric, graph-cut, and level-set optimization tools; and the objective functionals that use different image information, silhouette, photometry, and texture. Our discussion is accompanied by the implementations of these approaches on real examples. © Springer-Verlag Berlin Heidelberg 2005.