In order to make 3D cameras as easy to use as one found on a smartphone, researchers have developed new technologies aimed at making 3D cameras easier to use. These technologies help compress 3D camera files and automate focus and exposure settings.
Using high-end 3D cameras almost always requires a great deal of training. To obtain the best image with current high-end 3D cameras based on structured light technique, the manufacturer must conduct precise projector and camera focal length and other parameters calibration and the user must manually adjust the optimal sensor exposure time. This leads to a training requirement for a user to properly operate the camera and often involves complicated recalibration processes by the manufacturer if the camera is accidentally disturbed.
The researchers automated the process of profilometry by developing algorithms to rapidly determine the optimal exposure after understanding the intrinsic constant response function of the sensor. They also devised a method of generating highly accurate 3D images using an autofocusing feature on electronically tunable lenses.