Abstract: Methods and apparatuses are presented for determining whether a gesture is being performed in a sequence of source images. In some embodiments, a method includes detecting a gesture in each of one or more reference images using one or more gesture models of a plurality of gesture models. The method may also include selecting a first gesture model from the one or more gesture models that most closely matches the detected gesture, prioritizing the first gesture model over other gesture models in the plurality of gesture models for searching for the gesture in the sequence of source images, and scanning the sequence of source images to determine whether the gesture is being performed, using the prioritized first gesture model. If the gesture is being performed, the method may end scanning prior to using another gesture model of the plurality of gesture models to determine whether the gesture is being performed.

Abstract: Apparatuses, systems, and techniques are disclosed for rapidly identifying potential candidates within a pool of enrolled fingerprint images for unconstrained fingerprint matching with an inquiry fingerprint. The techniques may include applying one or more window regions to both enrolled and inquiry fingerprint images and determining a minutiae score for each such window region based on the minutiae within that window region. One or more components of the minutiae score for window regions of the inquiry image may then be compared against similar components in the minutiae scores for window regions of the enrolled fingerprint images, and enrolled fingerprint images having window regions with minutiae scores sufficiently similar to the minutiae score of a window region of the inquiry fingerprint image may be selected for later unconstrained matching with the inquiry fingerprint image.

Abstract: A system and method for reducing sensor redundancy in sensor-equipped devices includes identifying, via a master device, at least one device within an area. The at least one device is queried to determine at least one of a device status or application status for the at least one device. A configuration of one or more sensors within the at least one device based at least in part on the querying is determined. The one or more sensors within the at least one device is configured to balance quality of service across the master device and the at least one device, based at least in part on the determining.

Abstract: Embodiments of apparatus, computer program product, and method for verifying fingerprint images are disclosed.

Abstract: An object detection system for capturing one or more sensor images of an object is provided that includes a touch system including a touch-sensitive screen and a display of a device. The object detection system also includes a sensor system including a sensor array and a processing component. The sensor array is coupled to the touch-sensitive screen, and the processing component is configured to capture one or more images of an object when the object is detected by the touch-sensitive screen. At least a portion of the sensor array overlaps with at least a portion of the touch-sensitive screen.

Abstract: Techniques for authenticating a biometric input are disclosed. An example of a biometric authentication system is configured to receive a biometric input, perform a first authentication process on the biometric input with an application processor, such that the first authentication process generates one or more authentication parameters, provide the one or more authentication parameters to a secure processor, perform a second authentication process on the biometric input on the secure processor, such that the second authentication process utilizes the one or more authentication parameters, and output an authentication score based on the second authentication process.

Abstract: Disclosed is a mobile device to provide enhanced security based upon contextual sensor inputs. The mobile device may include: a biometric sensor; a contextual sensor; and a processor. The processor may be configured to: determine an authentication score based upon a biometric input received from the biometric sensor; modulate the authentication score based upon a contextual sensor input from the contextual sensor related to an event; and determine if the modulated authentication score falls below a predetermined threshold. If the authentication score falls below the predetermined threshold, the processor may command that a secondary authentication be performed or the destruction of a biometric template.

Abstract: One feature pertains to biometric authentication of a user between devices. In one aspect, an ad hoc personal wireless network may include a primary device and one or more secondary devices using grouping policies such proximity policies and other permissions. The primary device shares a biometric authentication value of a user with the one or more secondary devices. Each secondary device may then perform additional authentication of the same user using a relatively low reliability biometric sensor such as a digital camera for facial recognition, a microphone for voice recognition or an accelerometer for gesture recognition. The secondary authentication results may be combined with the biometric authentication score/level from the primary device to form a final authentication score/level of the secondary device, which is used to authenticate the user of the secondary device for one or more transactions such as consumer purchases, secure content access, or secure control.

Abstract: A system and method for reducing sensor redundancy in sensor-equipped devices includes identifying, via a master device, at least one device within an area. The at least one device is queried to determine at least one of a device status or application status for the at least one device. A configuration of one or more sensors within the at least one device based at least in part on the querying is determined. The one or more sensors within the at least one device is configured to balance quality of service across the master device and the at least one device, based at least in part on the determining.

Abstract: Disclosed is a method and apparatus for run-time adaptive non-uniform mapping of user interface events. In one embodiment, the operations implemented may include: categorizing a display area into a plurality of regions of either a first type or a second type; assigning a gravity value to each of the one or more regions of the second type; determining whether a cursor is within a first region of the first type and is being moved toward a second region of the second type that adjoins the first region; and in response to determining that the cursor is within the first region of the first type and is being moved toward the second region of the second type, the second region having a first gravity value, applying an acceleration factor based at least in part on the first gravity value to a cursor movement.

Abstract: Methods and devices for distributing processing capacity in a multi-processor system include monitoring a data input for a feature activity with a first processor, such as a high efficiency processor. When feature activity is detected, a feature event may be predicted and processing capacity requirement may be estimated. The sufficiency of available processing capacity of the first processor to meet the estimated future processing capacity requirement and process the predicted feature event may be determined. Processing capacity of a second processor, such as a high performance processor, may be distributed along with the data input when the available processing capacity of the first processor are insufficient to meet the processing capacity requirement and process the predicted feature event.

Abstract: Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.

Abstract: Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.

Abstract: Methods and apparatuses are presented for determining whether a gesture is being performed in a sequence of source images. In some embodiments, a method includes detecting a gesture in each of one or more reference images using one or more gesture models of a plurality of gesture models. The method may also include selecting a first gesture model from the one or more gesture models that most closely matches the detected gesture, prioritizing the first gesture model over other gesture models in the plurality of gesture models for searching for the gesture in the sequence of source images, and scanning the sequence of source images to determine whether the gesture is being performed, using the prioritized first gesture model. If the gesture is being performed, the method may end scanning prior to using another gesture model of the plurality of gesture models to determine whether the gesture is being performed.

Abstract: A system and methods of subtraction of a shaped component of a noise reduction spectrum from a combined signal are disclosed. In an embodiment, a method includes identifying a selected frequency component using a corresponding frequency component of a noise sample spectrum. A noise set is comprised of the noise sample spectrum. The method further includes forming a shaped component of a noise reduction spectrum using a processor and a memory based on a combined signal spectrum and the selected frequency component. The method also includes subtracting the shaped component of the noise reduction spectrum from the combined signal spectrum.

Abstract: Automatic level control of speech portions of an audio signal is provided. An audio signal is received in the form of a sequence of samples and may contain speech portion and non-speech portions. The sequence of samples is divided into a sequence of sub-frames. Multiple sub-frames adjacent to a present sub-frame are examined to determine a peak value of samples in the sub-frames. A gain factor is computed for the present sub-frame based on the peak value and a desired maximum value for said speech portion, and each sample in the present sub-frame is amplified by the gain factor. In an embodiment, variations in filtered energy values of multiple sub-frames enable determination of whether a sub-frame corresponds to a speech or non-speech/noise portion.

Abstract: A system and methods of subtraction of a shaped component of a noise reduction spectrum from a combined signal are disclosed. In an embodiment, a method includes identifying a selected frequency component using a corresponding frequency component of a noise sample spectrum. A noise set is comprised of the noise sample spectrum. The method further includes forming a shaped component of a noise reduction spectrum using a processor and a memory based on a combined signal spectrum and the selected frequency component. The method also includes subtracting the shaped component of the noise reduction spectrum from the combined signal spectrum.

Abstract: A sequence of image frames are processed to determine if a pair of image frames in the sequence contain a same content, but have different global luminances. If the global luminances are different despite the content being the same, the global luminance of one of the image frames in the pair is adjusted to reduce the difference in the global luminances. The global luminance-adjusted image frames may be provided for further processing operations such as compression and global image stabilization. Reducing the global luminance difference may provide benefits such as improvements to compression and global image stabilization.

Abstract: A method and apparatus for processing audio signals. The method includes receiving an audio signal as a sequence of digital samples, said audio signal containing a speech portion and a non-speech portion, dividing said sequence of digital samples into a sequence of sub-frames, selecting a set of sub-frames from said sequence of sub-frames, said set including a current sub-frame, determining whether a difference of peak values for any pair of sub-frames is greater than a pre-determined threshold, wherein said pair of sub-frames are contained in said set of sub-frames, and concluding that said current sub-frame represents said speech portion if said difference of peak values exceeds said pre-determined threshold.

Abstract: Automatic level control of speech portions of an audio signal is provided. An audio signal is received in the form of a sequence of samples and may contain speech portion and non-speech portions. The sequence of samples is divided into a sequence of sub-frames. Multiple sub-frames adjacent to a present sub-frame are examined to determine a peak value of samples in the sub-frames. A gain factor is computed for the present sub-frame based on the peak value and a desired maximum value for said speech portion, and each sample in the present sub-frame is amplified by the gain factor. In an embodiment, variations in filtered energy values of multiple sub-frames enable determination of whether a sub-frame corresponds to a speech or non-speech/noise portion.