Fourier Transform Profilometry for Stripe Projection

Modified Fourier Transform Profilometry (FTP) is a versatile technique applicable across various domains. By performing Fourier transform on signals or images, we obtain detailed frequency domain information that enables comprehensive data analysis and processing. The enhanced FTP algorithm improves feature extraction and transformation accuracy in signal processing, image analysis, and audio processing applications. This technique's implementation typically involves projecting structured light patterns, capturing deformed fringe images, and applying Fourier transform with phase unwrapping algorithms to reconstruct 3D surface profiles. Key functions include frequency spectrum analysis using FFT algorithms and phase demodulation through band-pass filtering in the frequency domain. The widespread application of this technology facilitates deeper understanding of signal characteristics and provides enhanced possibilities for scientific research and engineering applications, particularly in optical metrology and 3D reconstruction systems.