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公开(公告)号：US11288536B2
公开(公告)日：2022-03-29
申请号：US16685916
申请日：2019-11-15
发明人： Hiroyuki Sakai
摘要： An image processing apparatus includes a determination unit configured to determine a region of the image on which to perform character recognition processing, a decision unit configured to decide, based on a number of black pixels in contact with the region determined by the determination unit, whether to perform the character recognition processing on an expanded region obtained by expanding the region determined by the determination unit rather than on the region determined by the determination unit, and a character recognition unit configured to perform the character recognition processing on that region of the image decided by the decision unit.
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公开(公告)号：US11270169B2
公开(公告)日：2022-03-08
申请号：US16942383
申请日：2020-07-29
发明人： Xing Sun , Yi Zhang , Xinyang Jiang , Xiaowei Guo , Xuan Zhou , Jia Chang
摘要： This application provides an image recognition method, a storage medium, and a computer device. The method includes: obtaining a to-be-recognized image; preprocessing the to-be-recognized image, to obtain a preprocessed image; obtaining, through a first submodel in a machine learning model, a first image feature corresponding to the to-be-recognized image, and obtaining, through a second submodel in the machine learning model, a second image feature corresponding to the preprocessed image; and determining, according to the first image feature and the second image feature, a first probability that the to-be-recognized image belongs to a classification category corresponding to the machine learning model. It may be seen that, the solutions provided by this application can improve recognition efficiency and accuracy.
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3.发明授权公开(公告)号：US11238305B2
公开(公告)日：2022-02-01
申请号：US16910086
申请日：2020-06-24
发明人： Hiroyoshi Uejo , Yuki Yamanaka
摘要： An information processing apparatus includes a processor configured to execute first preprocessing on acquired image data, and execute second preprocessing on a specified partial region of the image data as a target in a case where information for specifying at least one partial region in an image corresponding to the image data is received from post processing on which the image data after the first preprocessing is processed.
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公开(公告)号：US11232281B1
公开(公告)日：2022-01-25
申请号：US16936406
申请日：2020-07-22
发明人： Tsung-Yau Huang
摘要： A method of filtering a fingerprint image is provided. The method includes: receiving an input fingerprint image; preliminarily filtering the input fingerprint image to obtain a preprocessed image; normalizing and then filtering the preprocessed image to obtain a denoised image; filtering and then segmenting the preprocessed image to obtain a background mask; postprocessing the background mask to obtain a final mask; and applying the final mask to the denoised image to obtain an output fingerprint image.
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公开(公告)号：US11195047B2
公开(公告)日：2021-12-07
申请号：US16437869
申请日：2019-06-11
IPC分类号： G06K9/54 , G06T5/50 , G06T7/33 , G06T7/40 , G06T3/00 , G06T5/30 , G06T7/00 , G06K9/46 , G06K9/00
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an active lighting system. In one aspect, a method includes receiving a first image of the physical document having a first glare signature and a second image of the physical document having a second glare signature that is different from the first glare signature; determining a first glare map of the first image and a second glare map of the second image; comparing the first glare map to the second glare map; and generating the digital image based on the comparison of the first and second glare maps.
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公开(公告)号：US20210374436A1
公开(公告)日：2021-12-02
申请号：US17405752
申请日：2021-08-18
发明人： Fengze HAN , Pengbin YANG , Caimao YUAN , Yang YANG , Fei NI
摘要： An image processing method, apparatus, and electronic device relate to the technical field of image processing. In the method, an initial image is acquired; and then a connected region in the initial image is acquired, where the connected region is a region composed of pixels having pixel values within a target threshold range in the initial image. In addition, a region of interest in the initial image is acquired according to the connected region, and the region of interest is preprocessed to obtain a target image. By extracting the region of interest in the initial image, and only preprocessing the region of interest, the resource expenditure during image preprocessing can be reduced, and the preprocessing efficiency can be improved.
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公开(公告)号：US11182623B2
公开(公告)日：2021-11-23
申请号：US16399457
申请日：2019-04-30
申请人： Baidu USA LLC
发明人： Kwan Oh , Manjiang Zhang , Min Guo , Tiffany Zhang , Chang Shu
摘要： A sensor unit includes a sensor interface, host interface, and pre-processing hardware. The sensor interface is coupled to a plurality of cameras configured to capture images around an autonomous driving vehicle (ADV). The host interface is coupled to a perception and planning system. The pre-processing hardware is coupled to the sensor interface to receive images from the plurality of cameras and to perform one or more pre-processing functions on the images and to transmit pre-processed images to the perception and planning system via the host interface. The perception and planning system is configured to perceive a driving environment surrounding the ADV based on the pre-processed images and to plan a path to control the ADV to navigate through the driving environment. The pre-processing functions can adjust for different calibrations and formats across the plurality of cameras.
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公开(公告)号：US11164287B2
公开(公告)日：2021-11-02
申请号：US16456849
申请日：2019-06-28
申请人： Lumileds LLC
发明人： Ronald Bonne , Jyoti Kiron Bhardwaj
IPC分类号： G06K9/54 , G06T3/40 , G09G3/20 , H05B45/50 , F21S41/141 , H05B45/00 , H05B47/105 , F21V23/04
摘要： A LED controller includes a power distribution module and an interface to an external data bus. An image frame buffer is connected to the interface to receive image data. A separate logic module is connected to the interface and configured to modify image frame buffer output signals sent to an LED pixel array connected to the image frame buffer. The LED pixel array can project light according to a pattern and intensity defined at least in part by the image held in the image frame buffer.
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公开(公告)号：US11164031B2
公开(公告)日：2021-11-02
申请号：US16920001
申请日：2020-07-02
申请人： HERE GLOBAL B.V.
发明人： Priyank Sameer
摘要： A method, system and computer program product are configured to analyze an image of a vehicle to determine a characteristic of the vehicle, such as may be represented by or otherwise at least partially defined by the shadow cast by the vehicle. In the context of a method, information is received identifying a vehicle from a raster image and the pixel values of the raster image are evaluated to identify pixels having pixel values representative of a shadow associated with the vehicle. The method also modifies a representation of the shadow by modifying the pixel values of the pixels based upon a shape of the vehicle such that the representation of the shadow, as modified, has a shape corresponding to the shape of the vehicle. The method additionally determines a characteristic of the vehicle based upon the representation of the shadow, as modified, that is associated with the vehicle.
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公开(公告)号：US10902252B2
公开(公告)日：2021-01-26
申请号：US16035307
申请日：2018-07-13
发明人： Arnaud Gilles Flament , Christopher Dale Lund , Guillaume Bernard Serge Koch , Denis Eric Goupil
摘要： Systems, methods and computer program products for image recognition in which instructions are executable by a processor to dynamically generate simulated documents and corresponding images, which are then used to train a fully convolutional neural network. A plurality of document components are provided, and the processor selects subsets of the document components. The document components in each subset are used to dynamically generate a corresponding simulated document and a simulated document image. The convolutional neural network processes the simulated document image to produce a recognition output. Information corresponding to the document components from which the image was generated is used as an expected output. The recognition output and expected output are compared, and weights of the convolutional neural network are adjusted based on the differences between them.
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