Carl Zeiss Meditec Gmbh

Invensense, Inc.

Carl Zeiss Meditec Ag

Harihar Narasimha-Iyer

Bruno Flament

Daniela Hall

Vincent Michael Patella

Jonathan Baudot

Matthew J Everett

Scott A Meyer

Etienne De Foras

Göran Anders Johansson

Siddharth Srivastava

Etienne DeForas

Hao-Yen Tang

Alexandre R Tumlinson

Utkarsh Sharma

Mary K Durbin

Sina Akhbari

Tilman Schmoll

Romain Fayolle

Suzanne M Thompson

Raphaël Guilleminot

Jayson Arthur McCauliff

Christine N Ritter

Marc D Stern

Zheen Zhao

Melissa R Horne

Julia Coelho

Goeran Anders Johansson

In a method for operating a fingerprint sensor including a plurality of ultrasonic transducers, receiving a plurality of images corresponding to different subsets of the ultrasonic transducers of the fingerprint sensor are received, wherein the plurality of images are non-adjacent. For each image of the plurality of images, it is determined whether the image of the plurality of images is indicative of a fingerprint. Provided a number of images of the plurality of images that are indicative of a fingerprint satisfies a threshold, it is determined whether the images of the plurality of images that are indicative of a fingerprint are collectively indicative of a fingerprint. Provided the plurality of images are collectively indicative of a fingerprint, it is determined that the plurality of images include a fingerprint.

Operating a fingerprint sensor comprised of ultrasonic transducers

In a method for adapting a quality threshold for a fingerprint image, a fingerprint image is received. An image quality of the fingerprint image is determined. Provided the image quality of the fingerprint image does not satisfy a quality threshold, the quality threshold is decreased. Provided the image quality of the fingerprint image does satisfy a decreased quality threshold, the fingerprint image is forwarded to a matcher for fingerprint authentication.

Adapting a quality threshold for a fingerprint image

In a method for detection of defective ultrasonic transducers in an in ultrasonic sensing device, an ultrasonic signal is generated at an ultrasonic sensing device comprising a plurality of ultrasonic transducers. A reflected ultrasonic signal corresponding to the ultrasonic signal is received at at least one ultrasonic transducer of the plurality of ultrasonic transducers. It is determined whether performance the at least one ultrasonic transducer is degraded based at least in part on the reflected ultrasonic signal.

Defective ultrasonic transducer detection in an ultrasonic sensor

In a method for evaluating a darkfield image for contamination, it is determined whether an object is interacting with a fingerprint sensor. Provided an object is not interacting with the fingerprint sensor, a darkfield candidate image is captured at a fingerprint sensor. The darkfield candidate image is evaluated for contamination. Based on the evaluating, it is determined whether the darkfield candidate image includes contamination.

Darkfield contamination detection

In a method for modeling a darkfield candidate image at a sensor, a plurality of darkfield images of the sensor is captured, wherein each darkfield image of the plurality of darkfield images is associated with a different operational condition of the sensor. An operational condition of the sensor is determined. A darkfield candidate image comprising a combination of the plurality of darkfield images is modeled based at least in part on the operational condition of the sensor, wherein a contribution of each darkfield image of the plurality of darkfield images is dependent on the operational condition.

Darkfield modeling

Methods for improving gaze tracking are presented. These methods eliminate the need for a separate initial calibration step to determine whether the subject is properly centrally fixated during testing. In one embodiment, whether the subject is centrally fixated is determined by identifying inlier and outlier gaze descriptors; the inliers are assumed to be associated with central fixation. This reduces the total time required for testing. These methods also improve the accuracy of gaze tracking during testing without the need for individual subject calibration. Instead, a database of reference eyes is used. The subject's eye can be compared to the reference eyes, and the mapping function for one or more reference matches can be used to estimate the subject's gaze direction. In another embodiment, previous calibration data from the same subject can be used to determine whether the subject is properly centrally fixated and/or the direction of the subject's gaze.

Systems and methods for improved ease and accuracy of gaze tracking

Systems and methods to improve the detection and classification of inflammation in the eye are presented. The inflammatory markers in image data can be graded by comparing identified and extracted characteristics from the images with characteristics derived from a set of images of eyes from a general population of subjects. The image data can be divided into sub-regions for analysis to better isolate the true inflammatory markers from the impacts of cataracts or other opacities. In another embodiment, the location of an imaging beam can be controlled to minimize the impact of lens opacities from the collected data used to analyze the inflammation state of an eye.

Methods and systems for automatic detection and classification of ocular inflammation

Systems and methods for efficiently obtaining optical coherence tomography (OCT) measurement data with reduced effects of motion are presented. One embodiment involves determining the amount of motion present during the collection of an OCT data set based on images of the eye collected at the same time as the OCT data, and recollecting select portions of the OCT data set when the amount of eye motion is determined to exceed a predetermined threshold. Another embodiment includes enabling or disabling a tracking feature based on the quality of the images available for tracking. Another embodiment includes reducing the effect of motion in the axial direction based on a comparison to a model of the eye constructed from OCT data. The method can also be used to reduce the presence of mirror image artifacts in an OCT image.

Systems and methods for efficiently obtaining measurements of the human eye using tracking

Systems and methods for improving ophthalmic imaging by correlating the location of a measurement on the pupil of the eye with a quality of the measurement and further controlling subsequent measurements based on the quality are presented. Aspects of the invention include obtaining optical coherence tomography (OCT) measurements through cataracts or other media opacities, obtaining B-scans with minimized tilt, and automated OCT data acquisition of select structures in the eye. Embodiments of the invention directed towards imaging tissues with angle dependent layer contrast and mapping the size and location of cataracts in the eye are also described.

Systems and methods for improved ophthalmic imaging

Improvements to user interfaces for ophthalmic imaging systems, in particular Optical Coherence Tomography (OCT) systems are described to improve how diagnostic data are displayed, analyzed and presented to the user. The improvements include user customization of display and reports, protocol driven work flow, bookmarking of particular B-scans, accessing information from a reference library, customized normative databases, and ordering of follow-up scans directly from a review screen. A further aspect is the ability to optimize the contrast and quality of displayed B-scans using a single control parameter. Virtual real time z-tracking is described that maintains displayed data in the same depth location regardless of motion.

User interface for acquisition, display and analysis of ophthalmic diagnostic data

Systems and methods for improved acquisition of ophthalmic optical coherence tomography data are presented, allowing for enhanced ease of use and higher quality data and analysis functionality. Embodiments include automated triggering for detecting and initiating collection of OCT ophthalmic data, an automated technique for determining the optimal number of B-scans to be collected to create the highest quality image and optimize speckle reduction, automated review of fundus images collected with an adjunct imaging modality to guide the OCT data collection, a single scan protocol in which a large field of view is collected with HD B-scans embedded at different locations depending on automated analysis of either a fundus image or sparse OCT scan, and various scan configurations for imaging eyes with large axial depth range.

Systems and methods for improved acquisition of ophthalmic optical coherence tomography data

Systems and methods for automatically detecting, classifying and quantifying clumps indicative of inflammation in the eye using optical coherence tomography images are described. Clump detection relies on both intensity and geometric thresholding. Applications of the invention include improved diagnosis, classification and monitoring of inflammatory disease.

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Livermore, CA, United States of America

Harihar Narasimha-Iyer