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Tutorial 1: Shape from Shading in Theory and Algorithms

Michael Breuss, Brandenburg University of Technology, Cottbus

Shape from Shading (SfS) is a classic task in computer vision with many interesting applications. Given a single input image, the aim of SfS is to infer the threedimensional structure of depicted objects. This is done at hand of assumptions on illumination and reflectance in the scene.

In this tutorial we consider classic foundations as well as modern methods. First we review some milestones in the history of SfS. Thereby we examine underlying assumptions and properties of SfS models. After that we focus on the rapid developments in this field within the last ten years. We consider the mathematical basis and efficient algorithms for SfS models that mark the current state of the art.

Tuesday, 3.9.2013, 9:00-12:30, Room: Building E1.3, Ground Floor, Lecture Hall 001