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公开(公告)号：US20210357683A1
公开(公告)日：2021-11-18
申请号：US17338328
申请日：2021-06-03
Inventor： Xipeng YANG , Xiao TAN , Hao SUN , Hongwu ZHANG
Abstract: Embodiments of the present disclosure disclose a method and apparatus for determining a target anchor, a device and a storage medium. The method may include: extracting a plurality of feature maps of an original image using a feature extraction network; inputting the plurality of feature maps into a feature pyramid network to perform feature fusion, to obtain a plurality of fused feature maps; and using a region proposal network to implement operations as follows: determining an initial anchor of a web header using the fused feature map, based on a size of each fused feature map, and determining an offset parameter of the initial anchor, based on a ratio of the size of the fused feature map to the original image, and generating a plurality of candidate anchors in different directions, based on the offset parameter of the initial anchor.
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公开(公告)号：US20210335008A1
公开(公告)日：2021-10-28
申请号：US17172883
申请日：2021-02-10
Inventor： Xiaoqing YE , Xiao TAN , Hao SUN , Hongwu ZHANG
Abstract: Embodiments of the present disclosure provide a method and apparatus for processing a video frame, and relates to the field of computer vision technology. The method may include: acquiring a plurality of candidate first-order radial distortion parameters preset for a to-be-processed video frame, and acquiring a specified value of a specified radial distortion parameter; performing radial distortion correction on the to-be-processed video frame to obtain a first initial corrected video frame; selecting a first initial corrected video frame in which a local region except for a center region after distortion correction includes a largest number of straight line segments; and determining a candidate first-order radial distortion parameter corresponding to the selected first initial corrected video frame for use as a target first-order radial distortion parameter of the to-be-processed video frame.
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Patent Agency Ranking
公开(公告)号：US20210334979A1
公开(公告)日：2021-10-28
申请号：US17366691
申请日：2021-07-02
Inventor： Mian PENG , Jian WANG , Hao SUN , Xiao TAN , Errui DING
Abstract: A method of segmenting an image includes acquiring a first segmentation probability map of an input portrait image and detecting a region where a target part of the input portrait image is located. The method also includes acquiring a partial image including the target part and corresponding to the region and acquiring a partial segmentation probability map of the region in the first segmentation probability map. The method further includes segmenting the partial image in accordance with the partial segmentation probability map to acquire a second segmentation probability map. The first segmentation probability map and the second segmentation probability map are combined to acquire a segmentation result of the input portrait image.
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公开(公告)号：US20210358169A1
公开(公告)日：2021-11-18
申请号：US17339177
申请日：2021-06-04
Inventor： Zhikang ZOU , Xiaoqing YE , Xiao TAN , Hao SUN
Abstract: A method and an apparatus for calibrating an external parameter of a camera are provided. The method may include: acquiring a time-synchronized data set of three-dimensional point clouds and two-dimensional image of a calibration reference object, the two-dimensional image being acquired by a camera with a to-be-calibrated external parameter; establishing a transformation relationship between a point cloud coordinate system and an image coordinate system, the transformation relationship including a transformation parameter; back-projecting the data set of the three-dimensional point clouds onto a plane where the two-dimensional image is located through the transformation relationship to obtain a set of projection points of the three-dimensional point clouds; adjusting the transformation parameter to map the set of the projection points onto the two-dimensional image; and obtaining an external parameter of the camera based on the adjusted transformation parameter and the data set of the three-dimensional point clouds.
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公开(公告)号：US20210350146A1
公开(公告)日：2021-11-11
申请号：US17379448
申请日：2021-07-19
Inventor： Wei ZHANG , Xiao TAN , Hao SUN , Errui DING
Abstract: A vehicle tracking method, apparatus, and electronic device relate to the technical field of computer vision and deep learning. A method includes identifying first position information of a first vehicle in a first image of a video stream collected during driving of vehicles; and identifying second position information of a second vehicle in a second image of the video stream. The first image is the previous N frame images adjacent to the second image in the video stream, and N is a positive integer. The method also includes predicting first position offset information of the second vehicle relative to the first vehicle on the basis of the first image and the second image; and determining a tracking result of the second vehicle on the basis of the first position information, the second position information and the first position offset information.
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公开(公告)号：US20210209341A1
公开(公告)日：2021-07-08
申请号：US17211491
申请日：2021-03-24
Inventor： Xiaoqing YE , Xiao TAN , Hao SUN , Hongwu ZHANG
Abstract: The present disclosure provides a three-dimensional (3D) object detection method, a 3D object detection apparatus, an electronic device, and a readable storage medium, belonging to a field of computer vision technologies. Two-dimensional (2D) image parameters and initial 3D image parameters are determined for a target object. Candidate 3D image parameters are determined for the target object based on a disturbance range of 3D parameters and the initial 3D image parameters determined for the target object. Target 3D image parameters are selected for the target object from the candidate 3D image parameters determined for the target object based on the 2D image parameters. A 3D detection result of the target object is determined based on the target 3D image parameters.
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公开(公告)号：US20210374415A1
公开(公告)日：2021-12-02
申请号：US17194131
申请日：2021-03-05
Inventor： Dongliang HE , Xiao TAN , Shilei WEN , Hao SUN
Abstract: Embodiments of the present disclosure disclose a method and apparatus for identifying a video. A specific embodiment of the method includes: acquiring a predetermined number of video frames from a video to be identified to obtain a video frame sequence; performing the following processing step: importing the video frame sequence into a pre-trained video identification model to obtain a classification tag probability corresponding to the video frame sequence, wherein the classification tag probability is used to characterize a probability of identifying a corresponding tag category of the video to be identified; and setting, in response to the classification tag probability being greater than or equal to a preset identification accuracy threshold, a video tag for the video to be identified according to the classification tag probability, or else increasing the number of video frames in the video frame sequence and continuing to perform the above processing step.
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