Abstract:
Techniques are disclosed relating to biometric authentication, e.g., facial recognition. In some embodiments, a device is configured to verify that image data from a camera unit exhibits a pseudo-random sequence of image capture modes and/or a probing pattern of illumination points (e.g., from lasers in a depth capture mode) before authenticating a user based on recognizing a face in the image data. In some embodiments, a secure circuit may control verification of the sequence and/or the probing pattern. In some embodiments, the secure circuit may verify frame numbers, signatures, and/or nonce values for captured image information. In some embodiments, a device may implement one or more lockout procedures in response to biometric authentication failures. The disclosed techniques may reduce or eliminate the effectiveness of spoofing and/or replay attacks, in some embodiments.
Abstract:
An image sensor includes an imaging area and one or more flicker detection regions. The imaging area includes pixels that capture one or more images. Each flicker detection region includes pixels that are sampled multiple times while an image is being captured. The samples can be analyzed to detect flicker in the scene being imaged.
Abstract:
An image sensor and a method of operating an image sensor to achieve a substantially uniform power signature. An array of pixels may be scanned using analog sensing circuitry to obtain an analog sensor output. The scanning is performed over a first time interval. The analog sensor output is converted to a digital data output using digital logic circuitry. The converting occurs over a second time interval that is subsequent to the first time interval and may be substantially the same duration as the first time interval. While the array of pixels are being scanned, the digital logic circuitry is operated over the first time interval and substantially coincides with the scanning of the array of pixels.
Abstract:
Techniques are disclosed relating to biometric authentication, e.g., facial recognition. In some embodiments, a device is configured to verify that image data from a camera unit exhibits a pseudo-random sequence of image capture modes and/or a probing pattern of illumination points (e.g., from lasers in a depth capture mode) before authenticating a user based on recognizing a face in the image data. In some embodiments, a secure circuit may control verification of the sequence and/or the probing pattern. In some embodiments, the secure circuit may verify frame numbers, signatures, and/or nonce values for captured image information. In some embodiments, a device may implement one or more lockout procedures in response to biometric authentication failures. The disclosed techniques may reduce or eliminate the effectiveness of spoofing and/or replay attacks, in some embodiments.
Abstract:
Techniques are disclosed relating to biometric authentication, e.g., facial recognition. In some embodiments, a device is configured to verify that image data from a camera unit exhibits a pseudo-random sequence of image capture modes and/or a probing pattern of illumination points (e.g., from lasers in a depth capture mode) before authenticating a user based on recognizing a face in the image data. In some embodiments, a secure circuit may control verification of the sequence and/or the probing pattern. In some embodiments, the secure circuit may verify frame numbers, signatures, and/or nonce values for captured image information. In some embodiments, a device may implement one or more lockout procedures in response to biometric authentication failures. The disclosed techniques may reduce or eliminate the effectiveness of spoofing and/or replay attacks, in some embodiments.
Abstract:
Techniques are disclosed relating to biometric authentication, e.g., facial recognition. In some embodiments, a device is configured to verify that image data from a camera unit exhibits a pseudo-random sequence of image capture modes and/or a probing pattern of illumination points (e.g., from lasers in a depth capture mode) before authenticating a user based on recognizing a face in the image data. In some embodiments, a secure circuit may control verification of the sequence and/or the probing pattern. In some embodiments, the secure circuit may verify frame numbers, signatures, and/or nonce values for captured image information. In some embodiments, a device may implement one or more lockout procedures in response to biometric authentication failures. The disclosed techniques may reduce or eliminate the effectiveness of spoofing and/or replay attacks, in some embodiments.
Abstract:
An image sensor and a method of operating an image sensor to achieve a substantially uniform power signature. An array of pixels may be scanned using analog sensing circuitry to obtain an analog sensor output. The scanning is performed over a first time interval. The analog sensor output is converted to a digital data output using digital logic circuitry. The converting occurs over a second time interval that is subsequent to the first time interval and may be substantially the same duration as the first time interval. While the array of pixels are being scanned, the digital logic circuitry is operated over the first time interval and substantially coincides with the scanning of the array of pixels.
Abstract:
A system and method for estimating an ambient light condition is using an image sensor of a digital camera. An array of pixels is obtained using the image sensor. A matrix of grid elements is defined. Each grid element comprises multiple adjacent pixels of the array of pixels. A first measurement value is generated for a grid element of the matrix of grid elements based on the pixels associated with the grid element. A set of grid elements are identified having a first measurement value that satisfies a brightness criteria. A second measurement is generated using the identified set of grid elements. A simulated-light-sensor array is generated using the second measurement value. An estimate of the ambient light condition is calculated using the simulated-light-sensor array.
Abstract:
An image sensor includes pixels that accumulate charge during a first integration period and pixels that accumulate charge during shorter second integration periods when an image is captured. The pixels having the shorter second integration period accumulate charge at two or more different times during the first integration period. Charge is read out of the pixels associated with the first integration period at the end of the first integration period, while charge is read out of the pixels having the second integration period at the end of each second integration period.
Abstract:
A controller for an image sensor includes a mode selector that receives a selection between image capture mode and data capture mode. An exposure sensor collects exposure data for a scene falling on the image sensor. A command interface sends commands to the image sensor to cause the image sensor to capture an image with a rolling reset shutter operation in which an integration interval for the image sensor is set based on the exposure data if the image capture mode is selected. The integration interval for the image sensor is set to less than two row periods, preferably close to one row period, without regard to the exposure data if the data capture mode is selected. An analog gain may be increased to as large a value as possible in data capture mode. All pixels in a row may be summed before AD conversion in data capture mode.