Authors:
Johannes Köhler
;
Jan C. Peters
;
Tobias Nöll
and
Didier Stricker
Affiliation:
German Research Center for Artificial Intelligence, Germany
Keyword(s):
Structured Light, Fringe Projection, Phase Shifting, Phase Unwrapping.
Related
Ontology
Subjects/Areas/Topics:
Active and Robot Vision
;
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
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.