Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Shape from shading using probability functions and belief propagation
 International Journal of Computer Vision 84 (2009), No.3, pp.269287 ISSN: 09205691 ISSN: 15731405 

 English 
 Journal Article 
 Fraunhofer IPK () 
 height reconstruction; photometric stereo 
Abstract
Shapefromshading (SFS) aims to reconstruct the threedimensional shape of an object from a single shaded image. This article proposes an improved framework based on belief propagation for computing SFS. The implementation of the wellknown brightness, integrability and smoothness constraints inside this framework is shown. We implement the constraints as probability density functions. For example, the brightness constraint is a twodimensional probability density function that relates all possible surface gradients at a pixel to their probability given the pixel intensity. A straightforward extension of the framework to photometric stereo is presented, where multiple images of the same scene taken under different lighting conditions are available. The results are promising, especially since the solution is obtained by iteratively applying simple operations on a regular grid of points. The presented framework therefore can be implemented in parallel and is a reasonably likely biological scheme.