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91.
公开(公告)号:US12002254B2
公开(公告)日:2024-06-04
申请号:US17613442
申请日:2021-02-26
Applicant: BOE Technology Group Co., Ltd.
Inventor: Jingru Wang , Fengshuo Hu
IPC: G06V10/56 , G06T7/90 , G06V10/774 , G06V10/82
CPC classification number: G06V10/56 , G06T7/90 , G06V10/774 , G06V10/82
Abstract: A method of training an object detection network, an object detection method and related apparatuses are provided. The training method includes: inputting a training image into a to-be-trained object detection network to obtain detection information of a target object, where the detection information includes a detection class of the target object, a detection position of a detection box of the target object, and a detection position of a landmark of the target object; calculating a total loss function of the to-be-trained object detection network, where the total loss function is calculated according to a loss function of the detection class of the target object, a loss function of the detection position of the detection box of the target object, and a loss function of the detection position of the landmark of the target object; and adjusting a parameter of the to-be-trained object detection network according to the total loss function.
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92.
公开(公告)号:US20240177465A1
公开(公告)日:2024-05-30
申请号:US18071663
申请日:2022-11-30
Applicant: Guoqiang XUE , Pengfei LV , Xin WU , Weiying CHEN
Inventor: Guoqiang XUE , Pengfei LV , Xin WU , Weiying CHEN
CPC classification number: G06V10/803 , G06T3/40 , G06T5/50 , G06T7/10 , G06T7/50 , G06T7/90 , G06V20/10 , G06T2207/10024 , G06T2207/10028 , G06T2207/20221 , G06T2207/30181
Abstract: Provided are a geological target identification method and apparatus based on image information fusion. The method includes: generating a first digital sectional map and a second digital sectional map of the same depth from a first data volume and a second data volume, respectively; configuring data of the first digital sectional map and the second digital sectional map on a universal coordinate system to form a first registered color map and a second registered color map; pre-processing the first registered color map and the second registered color map to form a first source image and a second source image; decomposing the first source image and the second source image respectively into a low frequency sub-band image and a high frequency sub-band image; fusing the two low frequency sub-band images; fusing the two high frequency sub-band images, reconstructing the fused low frequency sub-band image and the fused high frequency sub-band image, and segmenting the occurrence position of a geological body in the fused image by using a segmentation method to obtain a spatial occurrence form of a detection target.
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公开(公告)号:US20240177414A1
公开(公告)日:2024-05-30
申请号:US18071821
申请日:2022-11-30
Applicant: Hsin-Ying Lee , Jian Ren , Aliaksandr Siarohin , Ivan Skorokhodov , Sergey Tulyakov , Yinghao Xu
Inventor: Hsin-Ying Lee , Jian Ren , Aliaksandr Siarohin , Ivan Skorokhodov , Sergey Tulyakov , Yinghao Xu
CPC classification number: G06T17/00 , G06T7/50 , G06T7/90 , G06V10/82 , G06T2207/10024
Abstract: A three-dimensional (3D) scene is generated from non-aligned generic camera priors by producing a tri-plane representation for an input scene received in random latent code, obtaining a camera posterior including posterior parameters representing color and density data from the random latent code and from generic camera priors without alignment assumptions, and volumetrically rendering an image of the input scene from the color and density data to provide a scene having pixel colors and depth values from an arbitrary camera viewpoint. A depth adaptor processes depth values to generate an adapted depth map that bridges domains of rendered and estimated depth maps for the image of the input scene. The adapted depth map, color data, and scene geometry information from an external dataset are provided to a discriminator for selection of a 3D representation of the input scene.
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公开(公告)号:US20240177349A1
公开(公告)日:2024-05-30
申请号:US18519244
申请日:2023-11-27
Applicant: Carl Zeiss Microscopy GmbH
Inventor: Manuel AMTHOR , Daniel HAASE , Ralf WOLLESCHENSKY
CPC classification number: G06T7/90 , G16B30/00 , G16B40/20 , G06T2207/10024 , G06T2207/10056 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024 , G06T2207/30204
Abstract: A method for preparing data for identifying analytes in a sample, in which in an experiment one or more analytes are colored with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting the multiple markers using a camera, which for each coloring round generates at least one image containing multiple pixels and color values assigned thereto, the image including colored signals and uncolored signals, wherein a colored signal is a pixel having a color value that originates from a marker, and an uncolored signal is a pixel having a color value that is not based on a marker, and storing the color information of the particular coloring rounds for evaluating the color information.
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公开(公告)号:US20240177311A1
公开(公告)日:2024-05-30
申请号:US18519257
申请日:2023-11-27
Applicant: Carl Zeiss Microscopy GmbH
Inventor: Manuel AMTHOR , Daniel HAASE , Ralf WOLLESCHENSKY
IPC: G06T7/00 , C12Q1/6816 , G06T7/10 , G06T7/90
CPC classification number: G06T7/0012 , G06T7/10 , G06T7/90 , C12Q1/6816 , G06T2207/10024 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30204
Abstract: A method for preparing data for identifying analytes by coloring one or more analytes with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting multiple markers using a camera, which for each coloring round generates at least one image that includes multiple pixels and that may contain color information of one or more markers, and storing the images of the particular coloring rounds stored for evaluating the color information,
wherein
the color values determined in the individual coloring rounds are clustered, according to their intensity values, in local or global clusters with similar intensity values, and only the clustered data are stored.-
公开(公告)号:US11995858B2
公开(公告)日:2024-05-28
申请号:US17350714
申请日:2021-06-17
Applicant: AUTEL ROBOTICS CO., LTD.
Inventor: Qingqing Xie
CPC classification number: G06T7/593 , G06T7/11 , G06T7/90 , G06T2207/10012 , G06T2207/20028 , G06T2207/20156
Abstract: Embodiments of the present invention relate to the field of machine vision technologies, and specifically disclose a method, apparatus and electronic device for stereo matching. By means of the foregoing technical solutions, the embodiments of the present invention can achieve an improvement in both a speed and an accuracy of stereo matching.
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公开(公告)号:US11995153B2
公开(公告)日:2024-05-28
申请号:US17412298
申请日:2021-08-26
Applicant: CANON KABUSHIKI KAISHA
Inventor: Yosuke Takada
IPC: G06T7/90 , G06F18/21 , G06F18/214 , G06N3/04 , G06T3/4015 , G06V10/56
CPC classification number: G06F18/217 , G06F18/214 , G06N3/04 , G06T3/4015 , G06T7/90 , G06V10/56 , G06T2207/10024 , G06T2207/20081
Abstract: The information processing apparatus obtains a distribution characteristic representing an attribute of a color included in an acquired first image group and determines the number of times of learning based on the distribution characteristic. The information processing apparatus generates a data set consisting of a set of the first image group and a second image group corresponding to the first image group and by using the generated data set, generates a learning model by performing learning using a network based on the determined number of times of learning.
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公开(公告)号:US20240171724A1
公开(公告)日:2024-05-23
申请号:US18487956
申请日:2023-10-16
Applicant: TOYOTA RESEARCH INSTITUTE, INC.
Inventor: MUHAMMAD ZUBAIR IRSHAD , SERGEY ZAKHAROV , KATHERINE Y. LIU , VITOR GUIZILINI , THOMAS KOLLAR , ADRIEN D. GAIDON , RARES A. AMBRUS
IPC: H04N13/275 , G06T7/90 , G06T9/00 , G06V10/42 , G06V10/44 , G06V10/771
CPC classification number: H04N13/275 , G06T7/90 , G06T9/00 , G06V10/42 , G06V10/44 , G06V10/771 , G06T2207/10024
Abstract: The present disclosure provides neural fields for sparse novel view synthesis of outdoor scenes. Given just a single or a few input images from a novel scene, the disclosed technology can render new 360° views of complex unbounded outdoor scenes. This can be achieved by constructing an image-conditional triplanar representation to model the 3D surrounding from various perspectives. The disclosed technology can generalize across novel scenes and viewpoints for complex 360° outdoor scenes.
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99.
公开(公告)号:US20240169955A1
公开(公告)日:2024-05-23
申请号:US18551257
申请日:2021-03-22
Applicant: EIZO Corporation
Inventor: Takao MAEKAWA , Kensuke NAGASHIMA , Atsuyoshi DEYAMA , Yuito MORI , Jun NISHIMURA
CPC classification number: G09G5/02 , G06T7/90 , G06V10/56 , G06V10/761 , G06T2207/10024 , G09G2320/0666
Abstract: Provided is an image display system that allows many persons to use multiple monitors without feeling color differences between the monitors.
An image display system for displaying images on display devices includes multiple display devices, a spectral data acquisition unit, a candidate color matching function acquisition unit, a color difference calculation unit, and a color matching function selection unit. The spectral data acquisition unit is configured to acquire spectral data of the display devices. The candidate color matching function acquisition unit is configured to acquire multiple selection candidate color matching functions that are candidate color matching functions that may be selected by the color matching function selection unit. The color difference calculation unit is configured to calculate color differences between the display devices with respect to each of the selection candidate color matching functions using the spectral data. The color matching function selection unit is configured to select a color matching function that reduces color differences in appearance for many observers, from the selection candidate color matching functions on the basis of the calculated color differences.-
公开(公告)号:US20240169693A1
公开(公告)日:2024-05-23
申请号:US18105927
申请日:2023-02-06
Applicant: Axiomtek Co., Ltd.
Inventor: PO-CHENG CHEN , KAO-PIN LIN , LIANG-CHIN WANG
IPC: G06V10/74 , G02F1/29 , G06T7/90 , G06V10/141
CPC classification number: G06V10/761 , G02F1/29 , G06T7/90 , G06V10/141 , G06T2207/10024 , G06T2207/30204 , G06T2207/30252
Abstract: An accuracy measurement kit is provided and includes a marker, at least one light beam device, an image capture device, and a processing device. The marker is disposed on an autonomous mobile vehicle, and at least partially includes a reference pattern. The light beam device is configured to emit a light beam to the autonomous mobile vehicle located at a predetermined position so as to form a light spot on the marker. The processing device is configured to capture the light spot the marker on the autonomous mobile vehicle for generating a to-be-analyzed image. The processing device is configured to obtain an offset of the autonomous mobile vehicle in an X-axis direction and a Y-axis direction by calculating images of the to-be-analyzed image corresponding to the reference pattern and the light spot.
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