Robust Fringe Projection Profilometry via Sparse Representation

• Published in: IEEE transactions on image processing Vol. 25; no. 4; pp. 1726 - 1739
• Main Authors: Budianto, Lun, Daniel P. K.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D model reconstruction; Algorithms; Cameras; dictionary learning; Fringe projection profilometry; Illumination; Image coding; Image reconstruction; Lighting; morphological component analysis (MCA); Projection; Robustness; Solid modeling; sparse coding; Surface layer; Texture; Three dimensional models; Three-dimensional displays; 3D model reconstruction; dictionary learning; Fringe projection profilometry; morphological component analysis (MCA); sparse coding

In this paper, a robust fringe projection profilometry (FPP) algorithm using the sparse dictionary learning and sparse coding techniques is proposed. When reconstructing the 3D model of objects, traditional FPP systems often fail to perform if the captured fringe images have a complex scene, such as...