Sinusoidal parameter estimation technique for three-dimensional object reconstruction from a single object capture

Fringe projection profilometry is widely used for three-dimensional measurements. Sinusoidal patterns are commonly used; those patterns are modulated by the object's topography, raising the necessity to relate this modulation with the object's shape. Several approaches have been proposed and can be classified as spatial or temporal algorithms, making them suitable for dynamic or static objects. In this paper, an improvement of a different approach to analyze the modulated fringe pattern is proposed; from a single fringe pattern, the object's shape can be found with the determination of maximums and minimums of the signal, avoiding the use of Fourier transform, wavelet transform, and Riez transform techniques. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement