Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: Systems and methods according to the present invention address these needs and others by providing a handheld device, e.g., a 3D pointing device, which uses hand tremor as an input. One or more sensors within the handheld device detect a user's hand tremor and identify the user based on the detected tremor.

Abstract: Systems and methods according to the present invention address these needs and others by providing a handheld device, e.g., a 3D pointing device, which uses hand tremor as an input. One or more sensors within the handheld device detect a user's hand tremor and identify the user based on the detected tremor.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: Embodiments of the present invention described and shown in the specification and drawings facilitate the transportation of data packets having diverse formats through a general packet switching system. Due to the diverse formats of the data packets used by various common communications protocols, it is has been difficult to produce general packet switching systems that are able to switch multiple protocols. Embodiments of the present invention provide a Unified Data Packet for encapsulating data packets having diverse formats. Through encapsulation, embodiments of the present invention improve switching system efficiency by providing a single data packet format for handling by the switching system while enabling data packets in diverse formats to pass through the switch.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: Embodiments of the present invention described and shown in the specification and drawings facilitate the transportation of data packets having diverse formats through a general packet switching system. Due to the diverse formats of the data packets used by various common communications protocols, it is has been difficult to produce general packet switching systems that are able to switch multiple protocols. Embodiments of the present invention provide a Unified Data Packet for encapsulating data packets having diverse formats. Through encapsulation, embodiments of the present invention improve switching system efficiency by providing a single data packet format for handling by the switching system while enabling data packets in diverse formats to pass through the switch.

Abstract: Embodiments of the present invention described and shown in the specification and drawings facilitate the transportation of data packets having diverse formats through a general packet switching system. Due to the diverse formats of the data packets used by various common communications protocols, it is has been difficult to produce general packet switching systems that are able to switch multiple protocols. Embodiments of the present invention provide a Unified Data Packet for encapsulating data packets having diverse formats. Through encapsulation, embodiments of the present invention improve switching system efficiency by providing a single data packet format for handling by the switching system while enabling data packets in diverse formats to pass through the switch.

Abstract: A bias value associated with a sensor, e.g., a time-varying, non-zero value which is output from a sensor when it is motionless, is estimated using at least two, different bias estimating techniques. A resultant combined or selected bias estimate may then be used to compensate the biased output of the sensor in, e.g., a 3D pointing device.

Abstract: Systems and methods according to the present invention address these needs and others by providing a handheld device, e.g., a 3D pointing device, which uses hand tremor as an input. One or more sensors within the handheld device detect a user's hand tremor and identify the user based on the detected tremor.

Abstract: Systems and methods according to the present invention address these needs and others by providing a handheld device, e.g., a 3D pointing device, which uses hand tremor as an input. One or more sensors within the handheld device detect a user's hand tremor and identify the user based on the detected tremor.

Abstract: Embodiments of the present invention described and shown in the specification and drawings facilitate the transportation of data packets having diverse formats through a general packet switching system. Due to the diverse formats of the data packets used by various common communications protocols, it is has been difficult to produce general packet switching systems that are able to switch multiple protocols. Embodiments of the present invention provide a Unified Data Packet for encapsulating data packets having diverse formats. Through encapsulation, embodiments of the present invention improve switching system efficiency by providing a single data packet format for handling by the switching system while enabling data packets in diverse formats to pass through the switch.