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公开(公告)号：US11605220B2
公开(公告)日：2023-03-14
申请号：US17304324
申请日：2021-06-18
发明人： Zhubei Ge
摘要： A system for object recognition are provided in the present disclosure. The system may obtain a first image of an object that is captured by a camera configured to capture one or more images for use in an object recognition process under a first scenario; obtain a second image of the object that is captured under a second scenario; assess a degree of similarity between the first image of the object and at least one sample image; and determine a calibration function to calibrate the degree of similarity between the first image of the object and the at least one sample image based at least on a correlation between the second image of the object and the at least one sample image, wherein the calibration function is to be applied in association with the one or more images captured by the camera in the object recognition process.
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公开(公告)号：US11562471B2
公开(公告)日：2023-01-24
申请号：US17187514
申请日：2021-02-26
申请人： OwnSurround Oy
IPC分类号： G06K9/00 , H04N5/232 , G06T7/00 , H04S7/00 , G06V10/75 , G06V10/98 , G06V40/10 , G06V40/16 , G06K9/62 , G06K9/03
摘要： Arrangement for acquiring images for producing a head related transfer function filter is disclosed. In the arrangement the camera of a mobile phone or similar portable device is adjusted for the imaging. All acquired images are analyzed and only suitable images are sent further for producing the head related transfer filter. The arrangement is further configured to provide instructions to the user so that the whole head and other relevant body parts are sufficiently covered.
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3.发明申请公开(公告)号：US20220398900A1
公开(公告)日：2022-12-15
申请号：US17344219
申请日：2021-06-10
摘要： An Automated Teller Machine (ATM) for detecting security vulnerabilities by removing noise artifacts from documents receives a transaction request when a document is inserted into the ATM, where the document contains a noise artifact at least partially obstructing a portion of the document. The ATM generates an image of the document, where the image displays at least one data item comprising a sender's name, a receiver's name, and a number representing an amount. The ATM determines whether the noise artifact obstructs at least partially one data item. In response to determining that the noise artifact obstructs at least partially one data item, the ATM generates a test clean image of the document by removing the noise artifact from the image. In response to determining that the noise artifact is removed, the ATM approves the transaction request.
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4.发明授权公开(公告)号：US11314979B2
公开(公告)日：2022-04-26
申请号：US17256072
申请日：2020-06-19
发明人： Bin Wang
摘要： The present disclosure provides a method for evaluating an image acquisition accuracy of a Demura device, including: controlling a display panel to display a detection picture, wherein the detection picture includes a plurality of test point patterns with an interval therebetween; acquiring an image of the detection picture by the Demura device to obtain a preprocessed image corresponding to the detection picture, wherein the preprocessed image and a corresponding detection picture have a same size and a same shape; and determining the image acquisition accuracy of the Demura device according to a difference between a position of each of the plurality of test point patterns in the detection picture and a corresponding position of the test point pattern in the preprocessed image. The present disclosure also provides an apparatus for evaluating an image acquisition accuracy of a Demura device, an electronic device and a non-transitory computer-readable storage medium.
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公开(公告)号：US20220101028A1
公开(公告)日：2022-03-31
申请号：US17334941
申请日：2021-05-31
发明人： Ruoyu LIU , Zhi QU , Yasen ZHANG , Yan SONG , Zhipeng GE
摘要： A method for detecting an occluded image. The method includes: after an image is captured by a camera, obtaining the image as an image to be detected; inputting the image to be detected into a trained occluded-image detection model, the occluded-image detection model is trained based on original occluded images and non-occluded images by using a trained data feature augmentation network; determining whether the image to be detected is an occluded image based on the occluded-image detection model; and outputting an image detection result.
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公开(公告)号：US11288821B2
公开(公告)日：2022-03-29
申请号：US16227267
申请日：2018-12-20
申请人： BULL SAS
摘要： A system includes at least one dynamically configurable tracking device, receiving a video stream and, adapted for detection and automatic tracking of at least one target by analysis of the video stream; a calculator of a metric performance value of the tracking device; a configuration parameter corrector of the tracking device as a function of the metric performance value; and a dynamic configurator of the tracking device by applying the corrected configuration parameter. It further includes at least one device for measurement of at least one value representative of a demand for hardware resources by the tracking device, and the calculator is adapted to calculate the metric performance value starting from the measured value.
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公开(公告)号：US11288552B2
公开(公告)日：2022-03-29
申请号：US16355232
申请日：2019-03-15
摘要： Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assess image quality using adaptive non-overlapping mean estimation are disclosed. Example apparatus disclosed herein include a machine learning system to be trained to classify image quality. Disclosed example apparatus also include a feature extractor to apply a blur filter to a first image to determine a blurred image, determine a blur feature value for the first image, the blur feature value to represent an amount the first image differs from the blurred image, and apply a vector of feature values associated with the first image to the machine learning system, the vector of feature values including the blur feature value. Disclosed example apparatus further include an image classifier to classify image quality associated with the first image based on an output of the machine learning system responsive to the vector of feature values associated with the first image.
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公开(公告)号：US20220092324A1
公开(公告)日：2022-03-24
申请号：US17473226
申请日：2021-09-13
发明人： Ying GAO
摘要： A control method includes collecting a biometric image through a sensing area of a biometric recognition sensor provided at a control button of an electronic apparatus, in response to a press operation of a user on the control button; determining whether the biometric image meets a condition; in response to determining that the biometric image meets the condition, allowing the control button to be moved from a first position to a second position; and in response to determining that the biometric image does not meet the condition, prohibiting the control button from being moved from the first position to the second position.
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公开(公告)号：US11276163B2
公开(公告)日：2022-03-15
申请号：US15668118
申请日：2017-08-03
申请人： Aivitae LLC
发明人： Bob Sueh-chien Hu
IPC分类号： G05B13/02 , G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00 , G06T7/00 , G06N20/00 , G06K9/03 , G06N3/08 , G06K9/62 , G06T7/73 , G06K9/32 , G06K9/46
摘要： The present disclosure pertains to autonomous control of an imaging system. In some embodiments, training information including at least a plurality of images and action information are received. The plurality of images and action information are provided to a prediction model to train the prediction model. Further, an image capturing device is controlled to capture an image of a portion of a living organism, the image is processed, via the prediction model, to determine an action to be taken with respect to the image, and the determined action is taken with respect to the image.
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公开(公告)号：US20220075670A1
公开(公告)日：2022-03-10
申请号：US17526073
申请日：2021-11-15
发明人： Jeremy GOODSITT , Austin WALTERS , Fardin ABDI TAGHI ABAD , Anh TRUONG , Mark WATSON , Vincent PHAM , Kate KEY , Reza FARIVAR
IPC分类号： G06F9/54 , G06N20/00 , G06F17/16 , G06N3/04 , G06F11/36 , G06N3/08 , G06F21/62 , G06N5/04 , G06F17/15 , G06T7/194 , G06T7/254 , G06T7/246 , G06F16/2455 , G06F16/22 , G06F16/28 , G06F16/906 , G06F16/93 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/25 , G06F16/335 , G06F16/242 , G06F16/248 , G06F30/20 , G06F40/166 , G06F40/117 , G06F40/20 , G06F8/71 , G06F17/18 , G06F21/55 , G06F21/60 , G06K9/03 , G06K9/62 , G06K9/66 , G06K9/68 , G06K9/72 , G06N7/00 , G06Q10/04 , G06T11/00 , H04L29/06 , H04L29/08 , H04N21/234 , H04N21/81 , G06N5/00 , G06N5/02
摘要： A model optimizer is disclosed for managing training of models with automatic hyperparameter tuning. The model optimizer can perform a process including multiple steps. The steps can include receiving a model generation request, retrieving from a model storage a stored model and a stored hyperparameter value for the stored model, and provisioning computing resources with the stored model according to the stored hyperparameter value to generate a first trained model. The steps can further include provisioning the computing resources with the stored model according to a new hyperparameter value to generate a second trained model, determining a satisfaction of a termination condition, storing the second trained model and the new hyperparameter value in the model storage, and providing the second trained model in response to the model generation request.
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