3D cameras gather detailed information about the three-dimensional shape of the patient being scanned.
This data is essential for three purposes: first, to provide a 3D model of the patient that will allow the system later on to detect where every relevant lesion is in space; secondly to compute the normal vector of every lesion, providing the 3D coordinate that the robot should reach for the dermoscopic image acquisition (i.e., where to place the dermoscopic camera for optimal mapping of every lesion); and thirdly to set up the correct parameters on the liquid lens attached to the dermoscopic camera, particularly concerning their minimum and maximum focus distances.
All these parameters are vital for ensuring that the images captured are of the highest quality, thereby facilitating accurate analysis for melanoma detection in later stages.