Graphics Reference
In-Depth Information
We can simulate the low-light-level observation vision with the translucent green
ambient light filters. In front of the viewpoint camera placed a bright green paste tex-
tured translucent filters and set the scene ambient light green could generate scenes
with color filters green light in the visual texture color filters after fusion. And the
random function can generate noise in night vision changing in the visual noise. The
noise point in night vision could greatly improve the fidelity of simulation.
In addition, in order to ensure the correctness of the greatest visual distance, adding
an appropriate concentration of fog in the scene model can limit the visual distance.
Fig. 3. The simulation of the effect of low-light-level night vision
4.3
Infrared Thermal Imaging Simulation
Thermal radiation was a common form for heat transfer; as long as the object was not
absolute zero, and the heat radiation adapts to the temperature all the time. Thermal
radiation was also electromagnetic wave, that invisible hotline was infrared rays [4].
Infrared Equipment converted the infrared thermal radiation to images that adult eye
can recognize. Early infrared observation equipment had poor performance in the
infrared image converter tube which made it difficult to identify with its own heat
radiation. Therefore, an infrared searchlight on the viewing direction was needed; and
these infrared observation equipment was called active infrared observation instru-
ment. After the 1980s, the plus infrared radiation was no longer needed, and the iden-
tify ability was greatly enhanced; this infrared observation equipment were called
passive infrared observation equipment (also known as thermal imager).
Because the thermal imager depended on the thermal radiation, its effect depends on
the intensity of thermal radiation of various objects. The intensity of the radiation not
only depended on the wavelength and temperature, but also has a close relation with the
material properties of the object. Thermal Imager simulation is to establish a corres-
pondence between different objects and imaging brightness. Research on theoretical
modeling of IR had lasted several decades; the methods vary, but in general, can be
divided into three types: firstly, statistical laws based on a very large number of species;
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