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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Effective bias removal for fringe projection profilometry using the dual-tree complex wavelet transform.
William Wai-Lam Ng1, Daniel Pak-Kong Lun
1Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Applied Optics
|August 22, 2012
Summary
This study introduces a new method to improve 3D object reconstruction using fringe projection profilometry (FPP). The dual-tree complex wavelet transform (DT-CWT) effectively removes light intensity bias, enhancing 3D model accuracy.
Area of Science:
- Optics and Photonics
- Computer Vision
- Signal Processing
Background:
- Fringe projection profilometry (FPP) is crucial for 3D object reconstruction.
- Surface light intensity variations (bias) in FPP images cause significant reconstruction errors.
- Traditional bias removal methods often fail due to spectral overlap between bias and fringe signals.
Purpose of the Study:
- To develop a novel and effective technique for eliminating bias in FPP images.
- To improve the accuracy of 3D object height profile reconstruction.
- To address the limitations of traditional bias suppression methods.
Main Methods:
- Utilizing the dual-tree complex wavelet transform (DT-CWT) for image analysis.
- Identifying and separating bias, fringe, and noise components in the DT-CWT domain.
- Developing a bias extraction algorithm within the wavelet transform domain.
Main Results:
- The proposed DT-CWT based method effectively isolates and removes bias from noisy fringe images.
- Experimental results demonstrate superior performance compared to traditional bias removal techniques.
- Accurate reconstruction of 3D object models was achieved.
Conclusions:
- The DT-CWT offers a robust solution for bias removal in FPP.
- This technique significantly enhances the precision of 3D reconstruction.
- The proposed algorithm represents a notable advancement in FPP applications.
