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Lidar (/ ˈ l aɪ d ɑːr /, also LIDAR, an acronym of "light detection and ranging" [1] or "laser imaging, detection, and ranging" [2]) is a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver.
It has very high altitude resolution in the lower atmosphere. The instrument components are typically simpler than those in the lidar also. Disadvantages include poor altitude resolution in the upper atmosphere, difficulty designing optics that gathers substantial amounts of light, and a loss in noise rejection ( signal-to-noise ratio ).
Unlike conventional cameras, thermal cameras can capture facial imagery even in low-light and nighttime conditions without using a flash and exposing the position of the camera. [50] However, the databases for face recognition are limited. Efforts to build databases of thermal face images date back to 2004. [49]
3D model of a human face. Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition.
A structured-light 3D scanner is a device used to capture the three-dimensional shape of an object by projecting light patterns—such as grids or stripes, onto its surface. [1] The deformation of these patterns is recorded by cameras and processed using specialized algorithms to generate a detailed 3D model .
Atmospheric lidar is a class of instruments that uses laser light to study atmospheric properties from the ground up to the top of the atmosphere. Such instruments have been used to study, among other, atmospheric gases, aerosols, clouds, and temperature.