Synaptics Corporation

Boyan Bonev

Adam L Schwartz

Francesco Nesta

Utkarsh Gaur

Systems and methods for audio signal enhancement facilitated using video data are provided. In one example, a method includes receiving a multi-channel audio signal including audio inputs detected by a plurality of audio input devices. The method further includes receiving an image captured by a video input device. The method further includes determining a first signal based at least in part on the image. The first signal is indicative of a likelihood associated with a target audio source. The method further includes determining a second signal based at least in part on the multi-channel audio signal and the first signal. The second signal is indicative of a likelihood associated with an audio component attributed to the target audio source. The method further includes processing the multi-channel audio signal based at least in part on the second signal to generate an output audio signal.

Audio source enhancement facilitated using video data

Systems and methods for identifying and managing fixed sensor artifacts, such as scratches and non-operational sensor pixels, in a biometric sensor. A plurality of images acquired by the biometric sensor in response to detection of a biometric object proximal to a sensing surface of the biometric sensor are processed to determine a pixel value for each pixel location in each image. One or more specific pixel locations having substantially the same pixel value in the plurality of images are identified an artifact pattern of the biometric sensor.

Systems and methods for detecting and managing fingerprint sensor artifacts

A system and method for performing spoof detection are disclosed. The method includes: receiving an input image of a biometric; generating a first filtered image by applying a first convolution to the input image based on a first convolution kernel; generating a second filtered image by applying a second convolution to the input image based on a second convolution kernel; computing a gradient residual image by subtracting, for each pixel location of the first and second filtered images, a pixel value in the second filtered image from a corresponding pixel value in the first filtered image; applying a density estimation procedure to the gradient residual image to identify areas of varied density; and, determining whether the input image is a replica of the biometric based on results of the density estimation procedure.

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San Jose, CA, United States of America

Boyan Bonev