Aware, Inc.

Sea Machines Robotics, Inc.

Fang Hua

Taras P Riopka

Peng Zhao

Trevor Vieweg

Face recognition systems are vulnerable to the presentation of spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image and based upon that comparison to make a face liveness determination.

Face liveness detection using background/foreground motion analysis

A camera mounted on a seafaring vessel obtains an image showing an object. The distance to the object is computed using, in part, a normal vector of the plane containing the camera and the horizon.

Geolocating an object using a single camera

Face recognition systems are vulnerable to the presentation and spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image, and based upon that comparison to make a face liveness determination.

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Bedford, MA, United States of America

Fang Hua