Cleanearth Technologies Inc.

Cet Limited

Leonid Polonskiy

Jeffry Golden

Andrew Cilia

Qingzhong (James) Cai

Jasenka Benac

Lawrence Hanebrink

Clinton Boyd

Zhu Joe Wang

Arie Kaplan

The invention is a method of spectral data classification that uses the decoupling of target chromaticity and lighting or illumination chromaticity in spectral data and the sorting and selection of spectral bands by values of a merit function to obtain an optimized set of combinations of spectral bands for classification of the data. The decoupling is performed in 'delta-log' space. A rotation transform may be applied. For a broad range of parameters, correction of lighting chromaticity may be obtained by use of an equivalent 'Planck distribution' temperature. Merit function sorting and band combination selection is performed by multiple selection criteria. The method achieves reliable pixel classification and target detection in diverse lighting or illumination, especially in circumstances where lighting is non-uniform across a scene, such as with sunlight and shadows on a partly cloudy day or in &#x201c;artificial&#x201d; lighting. Applications are found in homeland security, defense, environmental protection, biomedical diagnostics, industrial process and product monitoring, and other remote or standoff sensing by spectral characteristics.

Method for spectral data classification and detection in diverse lighting conditions

A method for remotely detecting whether a subject is alive, comprising the steps of determining a calibration spectral signature for light reflectance from living skin, normalizing the calibration spectral signature values to the calibration reflectance value at a reference wavelength, storing the normalized calibration spectral signature, determining a subject spectral signature of the light reflectance of a region of skin of the subject whose liveness is to be determined, normalizing the subject spectral signature values to the subject reflectance value at the reference wavelength, comparing the normalized subject spectral signature with the normalized calibration spectral signature for at least one wavelength, generating a subject liveness signal based on the comparison of the normalized subject spectral signature with the normalized calibration spectral signature, and emitting the subject liveness signal.

Method and apparatus for standoff detection of liveness

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Oakmont, PA, United States of America

Leonid Polonskiy