Abstract: Disclosed herein are methods and systems for combining, in real time, images of one or more real life objects that have been captured in real time based on a comprehensive characteristic-based mechanism with a virtual environment to provide an augmented reality environment to a user or user device. In particular, the captured images are provided to a remote server that is capable of performing the processing steps to create a plurality of integrated images. The plurality of integrated images can then be provided to the user device. Advantageously, the remote server can create the plurality of integrated images much more quickly due to the server's enhanced computing power and storage space as compared to the user device. The remote server may be an intermediate server between multiple user devices. The comprehensive content matching mechanism is based on a plurality of factors comprising advertisement content, user preference information, and context information.

Abstract: Disclosed herein are methods and systems for real-time holographic augmented reality image processing. The processing includes the steps of receiving, at a cluster of servers and from an image capturing component, real-time image data; extracting one or more objects or a scene from the real-time image data based on results from real-time adaptive learning and one or more object/scene extraction parameters; extracting one or more human objects from the real-time image data based on results from real-time adaptive human learning and one or more human extraction parameters, receiving augmented reality (AR) input data; and creating holographic AR image data by projecting, for each image, the extracted object or scene, the extracted human object, and the AR input data using a multi-layered mechanism based on projection parameters. The real-time adaptive learning comprises object learning, object recognition, object segmentation, scene learning, scene recognition, scene segmentation, or a combination thereof.

Abstract: Disclosed herein are methods and systems for combining, in real time, images of one or more real life objects that have been captured in real time based on a comprehensive characteristic-based mechanism with a virtual environment to provide an augmented reality environment to a user or user device. In particular, the captured images are provided to a remote server that is capable of performing the processing steps to create a plurality of integrated images. The plurality of integrated images can then be provided to the user device. Advantageously, the remote server can create the plurality of integrated images much more quickly due to the server's enhanced computing power and storage space as compared to the user device. The remote server may be an intermediate server between multiple user devices. The comprehensive content matching mechanism is based on a plurality of factors comprising advertisement content, user preference information, and context information.

Abstract: Systems and methods for multi-spectral ultrasonic imaging are disclosed. In one embodiment, a finger is scanned at a plurality of ultrasonic scan frequencies. Each scan frequency provides an image information set describing a plurality of pixels of the finger including a signal-strength indicating an amount of energy reflected from a surface of a platen on which a finger is provided. For each of the pixels, the pixel output value corresponding to each of the scan frequencies is combined to produce a combined pixel out put value for each pixel. Systems and methods for improving the data capture of multi-spectral ultrasonic imaging are also disclosed.

Abstract: An apparatus including an electronic device is configured with an ultrasonic touch sensor-based virtual button. The ultrasonic sensor is disposed behind a first portion of an exterior surface of the electronic device. A processor associated with one or both of the electronic device and the ultrasonic sensor is configured to: (i) process a signal received from the ultrasonic sensor so as to acquire image data of a surface or substance in contact with the first portion of the exterior surface; and (ii) make a first determination whether or not the acquired image data is related to an intended control touch on the first portion by determining whether or not the image data is characteristic of a fingerprint or a patterned stylus.

Abstract: Disclosed herein are methods and systems for real-time holographic augmented reality image processing. The processing includes the steps of receiving, at a cluster of servers and from an image capturing component, real-time image data; extracting one or more objects or a scene from the real-time image data based on results from real-time adaptive learning and one or more object/scene extraction parameters; extracting one or more human objects from the real-time image data based on results from real-time adaptive human learning and one or more human extraction parameters, receiving augmented reality (AR) input data; and creating holographic AR image data by projecting, for each image, the extracted object or scene, the extracted human object, and the AR input data using a multi-layered mechanism based on projection parameters. The real-time adaptive learning comprises object learning, object recognition, object segmentation, scene learning, scene recognition, scene segmentation, or a combination thereof.

Abstract: Techniques described here use variations in the sensor to generate an identifier for the sensor. Each sensor may be comprised of sub-sensing units, called pixels that may demonstrate variation in their sensing capability from one pixel to another. Embodiments of the invention, describe a method for using the relative variance of each pixel (relative to the whole sensor or/and a portion of the sensor) in generating an identifier for the sensor. In one embodiment, the method may obtain information associated with a plurality of pixels from a sensor, detect variations in the information associated for each of the pixels from a subset of the plurality of pixels and generate an identifier for the sensor using the detected variations in the information associated with each of the pixels from the subset of plurality of pixels.

Abstract: A mobile device may perform authentication with an authenticating entity. The mobile device may comprise a plurality of sensors and a processor. The processor may be configured to: receive an authentication request from the authenticating entity requesting authentication information; and determine if the authentication request satisfies predefined user privacy preferences. If so, the processor may be configured to: retrieve the authentication information from at least one sensor to form a trust vector in response to the authentication request and to command transmission of the trust vector to the authenticating entity for authentication.

Abstract: A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

Abstract: A fingerprint sensing apparatus may include a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may be capable of determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data and of calculating statistical variance values for fingerprint sensor data corresponding to each of the fingerprint sensor data blocks. The control system may be capable of determining, based at least in part the statistical variance values, whether an object is positioned proximate a portion of the fingerprint sensor system.

Abstract: A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

Abstract: Some methods may involve determining whether an object is positioned on or near a portion of a fingerprint sensor system. If an object is positioned on or near the portion of the fingerprint sensor system, an acoustic impedance of at least a portion of the object may be determined. Based at least in part on the acoustic impedance, it may be determined whether the object is a finger.

Abstract: A mobile device may include a plurality of sensors and a processor. The processor may be configured to determine trust data for an asset based upon inputs from the plurality of sensors, determine whether an asset is accessible or not accessible based upon evaluating the trust data with a trust determination algorithm, and continuously update the trust data to continue to allow access to the asset or revoke access to the asset based upon the inputs from the plurality of sensors.

Abstract: A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

Abstract: A liveness-detection method and/or system is disclosed. A method of detecting liveness can comprise obtaining a single ultrasonic image of a biometric object. The single ultrasonic image can be subdivided into a plurality of overlapping sample blocks. Feature vectors can be extracted in a spatial domain and a frequency domain from each of the plurality of sample blocks. The feature vectors can be compared from each of the plurality of sample blocks to a classification model.

Abstract: A fingerprint sensing apparatus includes a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may determine, according to the fingerprint sensor data, whether an object is positioned proximate a portion of the fingerprint sensor system. If the control system determines that an object is positioned proximate the portion of the fingerprint sensor system, the control system may determine whether the object is a finger or a non-finger object. The control system may determine whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

Abstract: Methods, devices and systems for determining whether an object is detected by a scanner are disclosed. Fast-Fourier-Transforms (“FFT”) are determined, modified and evaluated. Each FFT may be determined with regard to a subset of gain-compensated pixel-values corresponding to pixel-values of an acquired image.

Abstract: Techniques for fingerprint quality assessment are presented. In some embodiments, a fingerprint image is subdivided into a plurality of sub-images. An orientation and a frequency associated with fingerprint ridges or valleys can be determined for each sub-image. A model can be generated for each sub-image and then compared to each sub-image. Based on the comparing, a quality assessment can be determined for each of the sub-images.

Abstract: An apparatus including an electronic device is configured with an ultrasonic touch sensor-based virtual button. The ultrasonic sensor is disposed behind a first portion of an exterior surface of the electronic device. A processor associated with one or both of the electronic device and the ultrasonic sensor is configured to: (i) process a signal received from the ultrasonic sensor so as to acquire image data of a surface or substance in contact with the first portion of the exterior surface; and (ii) make a first determination whether or not the acquired image data is related to an intended control touch on the first portion by determining whether or not the image data is characteristic of a fingerprint or a patterned stylus.

Abstract: Systems and methods for multi-spectral ultrasonic imaging are disclosed. In one embodiment, a finger is scanned at a plurality of ultrasonic scan frequencies. Each scan frequency provides an image information set describing a plurality of pixels of the finger including a signal-strength indicating an amount of energy reflected from a surface of a platen on which a finger is provided. For each of the pixels, the pixel output value corresponding to each of the scan frequencies is combined to produce a combined pixel out put value for each pixel. Systems and methods for improving the data capture of multi-spectral ultrasonic imaging are also disclosed.