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http://hdl.handle.net/10397/89996
Title: | Robust single-shot fringe projection profilometry based on morphological component analysis | Authors: | Budianto Lun, DPK Chan, YH |
Issue Date: | Nov-2018 | Source: | IEEE transactions on image processing, Nov. 2018, v. 27, no. 11, p. 5393-5405 | Abstract: | In a fringe projection profilometry (FPP) process, the captured fringe images can be modeled as the superimposition of the projected fringe patterns on the texture of the objects. Extracting the fringe patterns from the captured fringe images is an essential procedure in FPP, but traditional single-shot FPP methods often fail to perform if the objects have a highly textured surface. In this paper, a new single-shot FPP algorithm which allows the object texture and fringe pattern to be estimated simultaneously, is proposed. The heart of the proposed algorithm is an enhanced morphological component analysis (MCA) tailored for FPP problems. Conventional MCA methods which use a uniform threshold in an iterative optimization process are inefficient to separate fringe-like patterns from image texture. We extend the conventional MCA by taking advantage of the low-rank structure of the fringe's sparse representation to enable an adaptive thresholding process. It ends up with a robust single-shot FPP algorithm that can extract the fringe pattern even if the object has a highly textured surface. The proposed approach has a side benefit that the object texture can be simultaneously obtained in the fringe pattern estimation process, which is useful in many FPP applications. Experimental results have demonstrated the improved performance of the proposed algorithm over the conventional single-shot FPP approaches. | Keywords: | 3D model reconstruction Fringe projection profilometry Morphological component analysis (MCA) Wavelets |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on image processing | ISSN: | 1057-7149 | EISSN: | 1941-0042 | DOI: | 10.1109/TIP.2018.2858547 | Rights: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Budianto, D. P. K. Lun and Y. Chan, "Robust Single-Shot Fringe Projection Profilometry Based on Morphological Component Analysis," in IEEE Transactions on Image Processing, vol. 27, no. 11, pp. 5393-5405, Nov. 2018 is available at https://doi.org/10.1109/TIP.2018.2858547. |
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