Abstract: An apparatus includes a substrate, a first patterned layer, and a second patterned layer. The first patterned layer may be coupled to the substrate and may have a first metasurface pattern. The second patterned layer disposed separately from the substrate and the first patterned layer, and may have a second metasurface pattern. Movement of the first patterned layer relative to the second patterned layer may be controllable via control circuitry such that a gap distance of a gap between the first patterned layer and the second patterned layer is changed to cause a transmittance for radiant energy of a selected wavelength passing through the apparatus to change from a first transmittance value to a second transmittance value.

Abstract: An apparatus includes a substrate, a first patterned layer, and a second patterned layer. The first patterned layer may be coupled to the substrate and may have a first metasurface pattern. The second patterned layer disposed separately from the substrate and the first patterned layer, and may have a second metasurface pattern. Movement of the first patterned layer relative to the second patterned layer may be controllable via control circuitry such that a gap distance of a gap between the first patterned layer and the second patterned layer is changed to cause a transmittance for radiant energy of a selected wavelength passing through the apparatus to change from a first transmittance value to a second transmittance value.

Abstract: Detection and tracking of an object by exploiting its unique reflectance signature. This is done by examining every image pixel and computing how closely that pixel's spectrum matches a known object spectral signature. The measured radiance spectra of the object can be used to estimate its intrinsic reflectance properties that are invariant to a wide range of illumination effects. This is achieved by incorporating radiative transfer theory to compute the mapping between the observed radiance spectra to the object's reflectance spectra. The consistency of the reflectance spectra allows for object tracking through spatial and temporal gaps in coverage. Tracking an object then uses a prediction process followed by a correction process.

Abstract: Detection and tracking of an object by exploiting its unique reflectance signature. This is done by examining every image pixel and computing how closely that pixel's spectrum matches a known object spectral signature. The measured radiance spectra of the object can be used to estimate its intrinsic reflectance properties that are invariant to a wide range of illumination effects. This is achieved by incorporating radiative transfer theory to compute the mapping between the observed radiance spectra to the object's reflectance spectra. The consistency of the reflectance spectra allows for object tracking through spatial and temporal gaps in coverage. Tracking an object then uses a prediction process followed by a correction process.