Improvement of Phase Unwrapping Algorithms by Epipolar Constraints

Johannes Köhler, Jan C. Peters, Tobias Nöll, Didier Stricker

In: Proceedings of the 10th International Conference on Computer Vision Theory and Applications |. International Conference on Computer Vision Theory and Applications (VISAPP-15) 10th March 11-14 Berlin Germany SCITEPRESS Digital Library 2015.


Phase unwrapping remains a challenging problem in the context of fast 3D reconstruction based on structured light, in particular for objects with complex geometry. In this paper we suggest to support phase unwrapping algorithms by additional constraints induced by the scanning setup. This is possible when at least two cameras are used, a likely case in practice. The constraints are generalized for two or more cameras by introducing the concept of a candidate map. We claim that this greatly reduces the complexity for any subsequent unwrapping algorithm, their performance is thereby strongly increased. We demonstrate this by exemplarily integrating the candidate map into a local path following and a global minimum norm unwrapping method.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence