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公开(公告)号：US20190180069A1
公开(公告)日：2019-06-13
申请号：US16270395
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Sina AKHBARI , Bruno FLAMENT , Daniela HALL , Romain FAYOLLE , Etienne DeForas , Harihar NARASIMHA-IYER
Abstract: 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.
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公开(公告)号：US20210124892A1
公开(公告)日：2021-04-29
申请号：US17001531
申请日：2020-08-24
Applicant: InvenSense, Inc.
Inventor： Etienne De FORAS , Harihar NARASIMHA-IYER , Daniela HALL , Jonathan BAUDOT , Bruno FLAMENT
IPC: G06K9/00
Abstract: 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.
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Patent Agency Ranking
公开(公告)号：US20200210666A1
公开(公告)日：2020-07-02
申请号：US16236158
申请日：2018-12-28
Applicant: InvenSense, Inc.
Inventor： Bruno FLAMENT
Abstract: In a method of segmented image acquisition at a sensor, a plurality of segments of an image are concurrently captured, wherein pixels of each segment of the plurality of segments are captured according to a pixel capture sequence. The pixel capture sequence for at least one segment of the plurality of segments is a non-progressive sequence for controlling a timing difference between pixel capture for proximate pixels of adjacent segments. The image including the plurality of segments is generated.
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公开(公告)号：US20190171858A1
公开(公告)日：2019-06-06
申请号：US16206527
申请日：2018-11-30
Applicant: InvenSense, Inc.
Inventor： Abbas ATAYA , Bruno FLAMENT
IPC: G06K9/00
Abstract: In a method for darkfield tracking at a sensor, it is determined whether an object is interacting with the sensor. Provided an object is not interacting with the sensor, a determination that a darkfield candidate image can be captured at the sensor is made. It is determined whether to capture a darkfield candidate image at the sensor based at least in part on the determination that a darkfield candidate image can be captured at the sensor. Responsive to making a determination to capture the darkfield candidate image, the darkfield candidate image is captured at the sensor, wherein the darkfield candidate image is an image absent an object interacting with the sensor. A darkfield estimate is updated with the darkfield candidate image.
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公开(公告)号：US20190294845A1
公开(公告)日：2019-09-26
申请号：US15933066
申请日：2018-03-22
Applicant: InvenSense, Inc.
Inventor： Etienne De FORAS , Harihar NARASIMHA-IYER , Daniela HALL , Jonathan BAUDOT , Bruno FLAMENT
IPC: G06K9/00
Abstract: 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.
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公开(公告)号：US20190188442A1
公开(公告)日：2019-06-20
申请号：US16270516
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Bruno FLAMENT , Daniela HALL , Etienne DeForas , Harihar NARASIMHA-IYER , Romain FAYOLLE , Jonathan BAUDOT , Abbas ATAYA , Sina AKHBARI
CPC classification number: G06K9/0002 , G06K9/00087 , G06T5/002 , G06T7/0002 , G06T2207/20221 , G06T2207/30168 , G06T2207/30196
Abstract: In a method for correcting a fingerprint image, it is determined whether an object is interacting with the fingerprint sensor. Provided an object is not interacting with the fingerprint sensor, it is determined whether to capture a darkfield candidate image at the fingerprint sensor, wherein the darkfield candidate image is an image absent an object interacting with the fingerprint sensor. Responsive to making a determination to capture the darkfield candidate image, the darkfield candidate image is captured at the fingerprint sensor. Provided an object is interacting with the fingerprint sensor, it is determined whether to model a darkfield candidate image at the fingerprint sensor. Responsive to making a determination to model the darkfield candidate image, the darkfield candidate image is modeled at the fingerprint sensor. A darkfield estimate is updated with the darkfield candidate image. A fingerprint image is captured at the fingerprint sensor. The fingerprint image is corrected using the darkfield estimate.
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公开(公告)号：US20190188441A1
公开(公告)日：2019-06-20
申请号：US16270480
申请日：2019-02-07
Applicant: InvenSense, Inc.
Inventor： Daniela HALL , Bruno FLAMENT , Jonathan BAUDOT , Etienne DeFORAS , Harihar NARASIMHA-IYER
CPC classification number: G06K9/0002 , G06K9/00087 , G06T7/0002 , G06T2207/20221 , G06T2207/30168
Abstract: 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.
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