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公开(公告)号:US12026716B1
公开(公告)日:2024-07-02
申请号:US17166854
申请日:2021-02-03
发明人: Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC分类号: G06K9/00 , G06K9/46 , G06K9/52 , G06K9/66 , G06Q20/20 , G06Q20/40 , G06T7/60 , G06V30/194 , G06V30/41
CPC分类号: G06Q20/4016 , G06Q20/20 , G06V30/194 , G06V30/41
摘要: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.
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公开(公告)号:US11720623B2
公开(公告)日:2023-08-08
申请号:US17097601
申请日:2020-11-13
申请人: Walmart Apollo, LLC
发明人: Haining Liu , Feiyun Zhu , Ryan B. Reagan , Zhichun Xiao
IPC分类号: G06K9/00 , G06K9/52 , G06F16/55 , G06T7/136 , G06N20/00 , G06T3/00 , G06F18/214 , G06V10/764 , G06V10/774 , G06V10/26 , G06V10/24
CPC分类号: G06F16/55 , G06F18/2148 , G06N20/00 , G06T3/0056 , G06T7/136 , G06V10/26 , G06V10/764 , G06V10/774 , G06V10/247
摘要: In some embodiments, apparatuses and methods are provided herein useful to automatically annotating images. In some embodiments, a system for automatically annotating images comprises a database, wherein the database is configured to store images and annotations for the images and a control circuit, wherein the control circuit is communicatively coupled to the database, and wherein the control circuit is configured to retrieve, from the database, an image, generate, based on the image, a collection of augmented images, generate segmentation maps for each image in the collection of augmented images, wherein each of the segmentation maps include segments, select, based on a threshold, ones of the segments above a threshold, merge the ones of the segments above the threshold to create a segmented image, and generate, for each segment of the segmented image, classifications, wherein an annotation for the image includes the segmented images and the classifications.
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公开(公告)号:US11657644B2
公开(公告)日:2023-05-23
申请号:US16895493
申请日:2020-06-08
发明人: Darrell Hougen , Peter Zhen-Ping Lo
CPC分类号: G06V10/42 , G06T7/60 , G06V10/32 , G06V40/1347 , G06T2207/30204 , G06V10/44 , G06V2201/02
摘要: In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.
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公开(公告)号:US11488392B2
公开(公告)日:2022-11-01
申请号:US16970313
申请日:2018-03-15
发明人: Liangfu Chen , Zeng Yang
IPC分类号: G06K9/00 , G06K9/20 , G06K9/62 , G06K9/46 , G06K9/52 , G06V20/58 , G06V10/22 , G06V10/42 , G06V10/46 , G06V20/56
摘要: The present disclosure relates to object detection and object distance determination by an assisted driving system of a vehicle. In one embodiment, a method includes receiving image data detected and detecting at least one object in the image data. Detecting includes determining a region of interest in the image, classifying the object and localizing the region of interest in the image data. The method may include determining a distance value for the at least one object, wherein the distance determination is determined based on the category determined, localization of the region of interest, and object size relative to the image data. The method may include outputting a distance value determination for the at least one object.
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公开(公告)号:US20220309268A1
公开(公告)日:2022-09-29
申请号:US17513473
申请日:2021-10-28
发明人: Xue CHEN , Jinnv LIU , Yude LI , Xianqiang NI , Shuobin LIANG , Li ZHOU
摘要: An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.
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公开(公告)号:US11443131B2
公开(公告)日:2022-09-13
申请号:US16879239
申请日:2020-05-20
发明人: Takamasa Higuchi , Kentaro Oguchi
摘要: A method of creating a parking facility map includes obtaining one or more images of a parking facility, generating an estimate map of parking spaces in the parking facility based at least on the one or more images (the estimate map of parking spaces includes a plurality of estimate parking space shapes), identifying a parking block that includes a cluster of estimate parking spaces among the plurality of estimate parking space shapes, determining a common geometric pattern among the cluster of estimate parking spaces, correcting geometrical features of one or more estimate parking spaces in the cluster of estimate parking spaces based at least in part on the common geometric pattern, identifying one or more gaps among the cluster of estimate parking space shapes, and determining a number of inserted parking spaces to fill the one or more gaps based at least in part on the common geometric pattern.
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公开(公告)号:US11319086B2
公开(公告)日:2022-05-03
申请号:US15161696
申请日:2016-05-23
发明人: Travis W. Fleck , Gerald L. Brown
IPC分类号: B64D47/08 , G06K9/62 , G06K9/46 , G06K9/52 , G06T7/60 , H04N17/00 , G06T3/60 , G06K9/00 , G06K9/32 , G06T7/13
摘要: Apparatus and associated methods relate to aligning a taxi-assist camera such that each image frame of real-time video that the camera generates has a standard presentation format. The taxi-assist camera is configured to be mounted on an aircraft and oriented such that each image frame includes both a specific feature of the aircraft and of nearby objects external to the aircraft. The specific feature of the aircraft is detected and a location within the image frame of the specific feature is determined. The determined location within the image frame is compared with a reference location. A transformation operator is generated to transform the image frame such that the specific feature of the aircraft will be located within the image at a location corresponding to the reference location. The transformation operator is then applied to each of the image frames of the real-time video that the camera generates.
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公开(公告)号:US11308338B2
公开(公告)日:2022-04-19
申请号:US16728595
申请日:2019-12-27
申请人: NVIDIA Corporation
发明人: Yilin Yang , Bala Siva Sashank Jujjavarapu , Pekka Janis , Zhaoting Ye , Sangmin Oh , Minwoo Park , Daniel Herrera Castro , Tommi Koivisto , David Nister
摘要: In various examples, a deep neural network (DNN) is trained to accurately predict, in deployment, distances to objects and obstacles using image data alone. The DNN may be trained with ground truth data that is generated and encoded using sensor data from any number of depth predicting sensors, such as, without limitation, RADAR sensors, LIDAR sensors, and/or SONAR sensors. Camera adaptation algorithms may be used in various embodiments to adapt the DNN for use with image data generated by cameras with varying parameters—such as varying fields of view. In some examples, a post-processing safety bounds operation may be executed on the predictions of the DNN to ensure that the predictions fall within a safety-permissible range.
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公开(公告)号:US11308321B2
公开(公告)日:2022-04-19
申请号:US16915233
申请日:2020-06-29
申请人: Tobii AB
发明人: David Masko , Magnus Ivarsson , Niklas Ollesson , Anna Redz
摘要: There is provided a method, system, and non-transitory computer-readable storage medium for performing three-dimensional, 3D, position estimation for the cornea center of an eye of a user, using a remote eye tracking system, wherein the position estimation is reliable and robust also when the cornea center moves over time in relation to an imaging device associated with the eye tracking system. This is accomplished by generating, using, and optionally also updating, a cornea movement filter, CMF, in the cornea center position estimation.
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公开(公告)号:US11304661B2
公开(公告)日:2022-04-19
申请号:US14921893
申请日:2015-10-23
申请人: VertoCOMM, Inc.
摘要: In an exemplary embodiment, a tomography device comprises a scanner that obtains image slices. The device additionally comprises at least one processor configured to: perform a Hermetic Transform on the image slices to obtain hermetically transformed data using; filter and perform an Inverse Hermetic Transform on the Hermetic Transform data to obtain filtered inverse Hermetic Transform data; and perform back projection and angle integration on the filtered inverse Hermetic Transform data.
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