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公开(公告)号：US12131585B2
公开(公告)日：2024-10-29
申请号：US17616226
申请日：2020-04-13
Applicant: NEC Corporation
Inventor： Leiming Su , Tatsuya Shimahara , Hiroaki Morita
IPC: G06V10/60 , G06V10/141 , G06V40/18
CPC classification number: G06V40/197 , G06V10/141 , G06V10/60 , G06V40/193
Abstract: The example embodiments provides a processing system including an extraction unit that extracts a feature amount of light reflected by a cornea of a person from an image generated by a first imaging apparatus, a comparison unit that specifies an imaging apparatus corresponding to the extracted feature amount of the light based on the extracted feature amount of the light and a reference feature amount indicating a feature of light emitted by each of a plurality of imaging apparatuses at a time of imaging, and a biometric detection unit that performs biometric detection based on a result of whether or not the first imaging apparatus matches the specified imaging apparatus.
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公开(公告)号：US12118826B2
公开(公告)日：2024-10-15
申请号：US18232168
申请日：2023-08-09
Applicant: NEC Corporation
Inventor： Mamoru Inoue
CPC classification number: G06V40/193 , G06T11/60 , G06V10/50 , G06V40/197
Abstract: Provided is an information processing system including: a comparison information acquisition unit that acquires comparison information regarding iris comparison generated based on an iris image including an iris of a recognition subject; and a display image generation unit that generates a display image including an image indicating a content of the comparison information in association with positions in the iris.
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公开(公告)号：US12114929B2
公开(公告)日：2024-10-15
申请号：US17455735
申请日：2021-11-19
Inventor： Juan Wang , Bin Xia , Yujing Bai , Xiaoxin Li , Zhigang Hu , Yu Zhao
IPC: G06T3/40 , A61B3/12 , G06T7/00 , G06V10/70 , G06V10/764 , G06V10/80 , G06V10/82 , G06V40/18 , G16H50/20
CPC classification number: A61B3/1208 , G06T3/40 , G06T7/0014 , G06V10/764 , G06V10/811 , G06V10/82 , G06V10/87 , G06V40/193 , G06V40/197 , G16H50/20 , G06T2207/20081 , G06T2207/20084 , G06T2207/30041 , G06T2207/30096
Abstract: Some embodiments of the disclosure provide a diabetic retinopathy recognition system (S) based on fundus image. According to an embodiment, the system includes an image acquisition apparatus (1) configured to collect fundus images. The fundus images include target fundus images and reference fundus images taken from a person. The system further includes an automatic recognition apparatus (2) configured to process the fundus images from the image acquisition apparatus by using a deep learning method. The automatic recognition apparatus automatically determines whether a fundus image has a lesion and outputs the diagnostic result. According to another embodiment, the diabetic retinopathy recognition system (S) utilizes a deep learning method to automatically determine the fundus images and output the diagnostic result.
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公开(公告)号：US12106606B2
公开(公告)日：2024-10-01
申请号：US17561857
申请日：2021-12-24
Applicant: Beihang University
Inventor： Feng Lu , Yihua Cheng
CPC classification number: G06V40/193 , G06T7/73 , G06V10/48 , G06V10/95 , G06V40/171 , G06T2207/30201
Abstract: The embodiments of the present disclosure disclose a method for determining the direction of gaze. A specific implementation of the method includes: obtaining a face or eye image of a target subject, and establishing a feature extraction network; using an adversarial training method to optimize the feature extraction network, and implicitly removing the gaze-irrelevant features extracted by the feature extraction network, so that the feature extraction network extracts gaze-related features from the face or eye image to obtain the gaze-related features; determining the target gaze direction based on the gaze-related features. This implementation can separate the gaze-irrelevant features contained in the image features from the gaze-related features, so that the image features contain the gaze-related features, and that the accuracy and stability of the determined direction of gaze are further improved.
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公开(公告)号：US12106485B2
公开(公告)日：2024-10-01
申请号：US17729839
申请日：2022-04-26
Applicant: Beihang University
Inventor： Feng Lu , Yuxin Zhao , Zhimin Wang , Qinping Zhao
CPC classification number: G06T7/12 , G06V40/193 , G06T2207/20084 , G06T2207/30201
Abstract: The embodiments of the present disclosure disclose an edge-guided human eye image analyzing method. A specific implementation of this method comprises: collect a human eye image as an image to be detected; obtain a human eye detection contour map; obtain a semantic segmentation detection map and an initial human eye image detection fitting parameter; performing an iterative search on the initial human eye image detection fitting parameter to determine a target human eye image detection fitting parameter; sending the semantic segmentation detection map and the target human eye image detection fitting parameter as image analyzing results to a display terminal for display. This implementation improves the accuracy at the boundary dividing the pupil-iris area, and increases the structural integrity of the ellipse resulted from dividing the pupil-iris area. In addition, the iterative search can achieve a more accurate ellipse parameter fitting result.
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Patent Agency Ranking
公开(公告)号：US20240315553A1
公开(公告)日：2024-09-26
申请号：US18665416
申请日：2024-05-15
Applicant: UNIVERSITY OF WASHINGTON , MAGIC LEAP, INC.
Inventor： Eric J. SEIBEL , Chen GONG , Steven L. BRUNTON , Nils Benjamin ERICHSON , Laura TRUTOIU , Brian T. SCHOWENGERDT
IPC: A61B3/12 , A61B3/00 , A61B3/14 , G06T3/4038 , G06V40/18
CPC classification number: A61B3/12 , A61B3/0025 , A61B3/0058 , A61B3/14 , G06T3/4038 , G06V40/193 , G06V40/197
Abstract: A retina image template matching method is based on the registration and comparison between the images captured with portable low-cost fundus cameras (e.g., a consumer grade camera typically incorporated into a smartphone or tablet computer) and a baseline image. The method solves the challenges posed by registering small and low-quality retinal template images captured with such cameras. Our method combines dimension reduction methods with a mutual information (MI) based image registration technique. In particular, principle components analysis (PCA) and optionally block PCA are used as a dimension reduction method to localize the template image coarsely to the baseline image, then the resulting displacement parameters are used to initialize the MI metric optimization for registration of the template image with the closest region of the baseline image.
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公开(公告)号：US20240310908A1
公开(公告)日：2024-09-19
申请号：US18673189
申请日：2024-05-23
Applicant: APPLE INC.
Inventor： Walter Nistico , Andrii Nikiforov , Borys Lysyansky
CPC classification number: G06F3/013 , G06V40/19 , G06V40/193 , G06F2203/011
Abstract: The invention is concerned with a method for performing a calibration procedure for calibrating an eye tracking device, wherein a stimulus object is displayed within a certain display area, such that the stimulus object is at least temporarily moving along a defined trajectory and images of at least one eye of at least one user are captured during the displaying of the stimulus object.
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公开(公告)号：US12094248B2
公开(公告)日：2024-09-17
申请号：US18230051
申请日：2023-08-03
Applicant: NEC Corporation
Inventor： Mamoru Inoue
CPC classification number: G06V40/193 , G06T11/60 , G06V10/50 , G06V40/197
Abstract: Provided is an information processing system including: a comparison information acquisition unit that acquires comparison information regarding iris comparison generated based on an iris image including an iris of a recognition subject; and a display image generation unit that generates a display image including an image indicating a content of the comparison information in association with positions in the iris.
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公开(公告)号：US12094164B2
公开(公告)日：2024-09-17
申请号：US18219324
申请日：2023-07-07
Applicant: HYUNDAI MOTOR COMPANY , Kia Corporation
Inventor： Chun-Wei Chen , Shih-Wei Kuo
IPC: G06K9/00 , B60K35/00 , B60K35/10 , G06F3/01 , G06F3/03 , G06T7/73 , G06V10/143 , G06V20/59 , G06V40/18 , G06V40/19 , B60K35/29
CPC classification number: G06T7/74 , B60K35/00 , B60K35/10 , G06F3/013 , G06F3/017 , G06F3/0304 , G06V10/143 , G06V20/597 , G06V40/19 , G06V40/193 , B60K35/29 , B60K2360/149 , B60K2360/186 , G06F2203/0381 , G06T2207/20021 , G06T2207/30041
Abstract: There is provided a vehicle system including a sensing unit, a processing unit, a control unit and a display unit. The sensing unit is configured to capture an image frame containing an eyeball image from a predetermined distance. The processing unit is configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position. The control unit is configured to trigger a vehicle device associated with the pupil position according to the drive signal. The display unit is configured to show information of the vehicle device.
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公开(公告)号：US20240302897A1
公开(公告)日：2024-09-12
申请号：US18597242
申请日：2024-03-06
Applicant: Georgia Tech Research Corporation
Inventor： Woon-Hong Yeo
CPC classification number: G06F3/013 , G06T7/73 , G06V10/14 , G06V10/774 , G06V10/82 , G06V40/171 , G06V40/193 , G06V40/197 , G06T2207/20084 , G06T2207/30201
Abstract: A camera-based eye-tracking system and a data classification method for persistent human-machine interfaces (HMI). An exemplary system may employ a deep learning algorithm (e.g., convolutional neural network) for classifying eye directions. In some implementations, the pupil center corneal reflection method of an eye tracker is employed for gaze tracking. The example system can use a supervisory control and data acquisition architecture that can be universally applied to any screen-based HMI task.
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