Image processing algorithm for extracting the phase map from structured lights

In structured light three-dimensional measurement systems, the position of stripe in the structure light image reflects the three-dimensional shape information of the object being scanned. In this paper, we propose a semi-automatic 3D image processing algorithm that extracts the phase map from the d...

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Veröffentlicht in:2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP) S. 282 - 287
Hauptverfasser: Yongming Yang, Zhenzhou Wang
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2017
Schlagworte:
Cameras
Data mining
Fitting
Image processing
phase map
Smoothing methods
Splines (mathematics)
stripe extraction
structured light
Three-dimensional displays
three-dimensional measurement
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Zusammenfassung:In structured light three-dimensional measurement systems, the position of stripe in the structure light image reflects the three-dimensional shape information of the object being scanned. In this paper, we propose a semi-automatic 3D image processing algorithm that extracts the phase map from the distorted line pattern. The proposed method uses the stripe extraction approach to segment and cluster the stripe projected over the inspected object after Gaussian convolution denoising. Then a noise-aware smoothing spline fitting process is applied to the result to obtain single continuous stripe and the coordinates of the clustered stripes are calculated to form a phase matrix through a cubic polynomial interpolation procedure. After the camera and projector calibration, the 3D coordinates of the object are computed accurately and robustly. The experimental results show that the work is particularly effective.
DOI:10.1109/SIPROCESS.2017.8124549