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Depth sensing has recently gained attention in emerging technologies such as facial recognition and LiDAR. Generally, depth sensing illuminates a sampling signals onto objects, and detects the reflected signals and depth information can be deduced by analyzing the reflected signal with algorithms. Several methods for this analysis are studied, including, Time of Flight (TOF), Stereoscopic Vision (SV), Structured Illumination (SI), and others.
In this demonstration, structured illumination will be introduced, with improvements to cellular phone technology as the target application.
Structured illumination is widely used in microscopy for enhancing spatial resolution by illuminating the sample with patterned light and using software to analyze the information in Moir¨¦ fringes outside the normal range of observation.
Generation of regular structured light and random structured light are common challenges when working with structured illumination
The following are possible solutions and their drawbacks:
We will introduce periodic 3D gratings to show how pattern uniformity can be improved by using a source array with dynamic control of the stripe period.
In order to generate a structured pattern, the requirements and expected conditions we use are as follows:
This set of specifications is listed based on the above requirements:
This application note shows an optical Dammann grating built in RSoft CAD with all the details, including width, height, refractive index and period. Learn how diffraction properties are rigorously calculated by RSoft DiffractMOD using the RCWA algorithm, instead of solving mathematical formula of grating functions.?