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公开(公告)号：US11887388B2
公开(公告)日：2024-01-30
申请号：US17346835
申请日：2021-06-14
Inventor： Xiaoqing Ye , Zhikang Zou , Xiao Tan , Hao Sun
CPC classification number: G06V20/647 , G06N3/08 , G06T7/75 , G06V10/82 , G06T2200/08 , G06T2207/20081 , G06T2207/30244 , G06T2210/04 , G06V10/462
Abstract: The present disclosure provides an object pose obtaining method, and an electronic device, relates to technology fields of image processing, computer vision, and deep learning. A detailed implementation is: extracting an image block of an object from an image, and generating a local coordinate system corresponding to the image block; obtaining 2D projection key points in an image coordinate system corresponding to a plurality of 3D key points on a 3D model of the object; converting the 2D projection key points into the local coordinate system to generate corresponding 2D prediction key points; obtaining direction vectors between each pixel point in the image block and each 2D prediction key point, and obtaining a 2D target key point corresponding to each 2D predication key point based on the direction vectors; and determining a pose of the object according to the 3D key points and the 2D target key points.
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公开(公告)号：US11867801B2
公开(公告)日：2024-01-09
申请号：US17354557
申请日：2021-06-22
Inventor： Xiaoqing Ye , Xiao Tan , Hao Sun
IPC: G06K9/62 , G06K9/00 , G06K9/68 , G01S13/931 , G06T7/521 , G01S13/42 , G01S13/86 , G06N3/08 , G06T7/60 , G06V20/52 , G06V30/24 , G06F18/214 , G06F18/25 , G06F18/21 , G06V10/25 , G06V10/80 , G06V10/44 , G06V10/98 , G06V20/54 , G06V20/64
CPC classification number: G01S13/931 , G01S13/42 , G01S13/867 , G06F18/214 , G06F18/217 , G06F18/25 , G06N3/08 , G06T7/521 , G06T7/60 , G06V10/25 , G06V10/454 , G06V10/80 , G06V10/98 , G06V20/52 , G06V20/54 , G06V20/64 , G06V30/248 , G06T2207/10028 , G06T2207/30236 , G06V30/2552 , G06V2201/00 , G06V2201/08
Abstract: A vehicle information detection method, a method for training a detection model, an electronic device and a storage medium are provided, and relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning. The method includes: performing a first target detection operation based on an image of a target vehicle, to obtain a first detection result for target information of the target vehicle; performing an error detection operation based on the first detection result, to obtain error information; and performing a second target detection operation based on the first detection result and the error information, to obtain a second detection result for the target information.
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公开(公告)号：US11854237B2
公开(公告)日：2023-12-26
申请号：US17353324
申请日：2021-06-21
Inventor： Zipeng Lu , Jian Wang , Yuchen Yuan , Hao Sun , Errui Ding
IPC: G06V10/25 , G06V40/10 , G06F18/214 , G06V10/75 , G06V10/764 , G06V10/774 , G06V10/82
CPC classification number: G06V10/25 , G06F18/214 , G06V10/757 , G06V10/764 , G06V10/774 , G06V10/82 , G06V40/10 , G06V40/103
Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.
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公开(公告)号：US11741684B2
公开(公告)日：2023-08-29
申请号：US17332520
申请日：2021-05-27
Inventor： Hao Sun , Fu Li , Xin Li , Tianwei Lin
IPC: G06V10/20 , G06V10/25 , G06T7/11 , G06T7/90 , G06T3/60 , G06V40/16 , G06V10/75 , G06V10/772 , G06V20/20
CPC classification number: G06V10/25 , G06T3/60 , G06T7/11 , G06T7/90 , G06V10/758 , G06V10/772 , G06V20/20 , G06V40/162 , G06T2207/30201
Abstract: The disclosure provides an image processing method, an image processing apparatus, an electronic device and a storage medium, which belongs to the field of computer technologies, and specifically relates to computing vision, image processing, face recognition, and deep learning technologies in artificial intelligence. The method includes: performing skin color recognition on a face image to be processed to determine a target skin color of a face contained in the face image; obtaining a reference transformation image corresponding to the face image by processing the face image using any style transfer model in response that a style transfer model set does not comprise a style transfer model corresponding to the target skin color; and obtaining a target transformation image matching the target skin color by adjusting a hue value, a saturation value, and a lightness value of each pixel in the target region based on the target skin color.
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公开(公告)号：US11463631B2
公开(公告)日：2022-10-04
申请号：US17025255
申请日：2020-09-18
Inventor： Henan Zhang , Xin Li , Fu Li , Tianwei Lin , Hao Sun , Shilei Wen , Hongwu Zhang , Errui Ding
Abstract: Embodiments of the present disclosure provide a method and apparatus for generating an image. The method may include: receiving a first image including a face input by a user in an interactive scene; presenting the first image to the user; inputting the first image into a pre-trained generative adversarial network in a backend to obtain a second image output by the generative adversarial network; where the generative adversarial network uses face attribute information generated based on the input image as a constraint; and presenting the second image to the user in response to obtaining the second image output by the generative adversarial network in the backend.
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Patent Agency Ranking
公开(公告)号：US20220270289A1
公开(公告)日：2022-08-25
申请号：US17743402
申请日：2022-05-12
Inventor： Wei Zhang , Xiaoqing Ye , Xiao Tan , Hao Sun , Shilei Wen , Hongwu Zhang , Errui Ding
IPC: G06T7/73 , G06T7/194 , G06T7/593 , H04N13/128
Abstract: A method and device for detecting a vehicle pose, relating to the fields of computer vision and automatic driving. The specific implementation solution comprises: inputting a vehicle left view point image and a vehicle right view point image into a part prediction and mask segmentation network model, and determining foreground pixel points and part coordinates thereof in a reference image; converting coordinates of the foreground pixels in the reference image into coordinates of the foreground pixels in a camera coordinate system so as to obtain a pseudo-point cloud, and fusing part coordinate of the foreground pixels and the pseudo-point cloud to obtain fused pseudo-point cloud; and inputting the fused pseudo-point cloud into a pre-trained pose prediction model to obtain a pose information of the vehicle to be detected.
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公开(公告)号：US11363271B2
公开(公告)日：2022-06-14
申请号：US17125370
申请日：2020-12-17
Inventor： Chao Li , Yukang Ding , Dongliang He , Fu Li , Hao Sun , Shilei Wen , Hongwu Zhang , Errui Ding
IPC: H04N19/132 , H04N19/172 , G06K9/62 , G06N3/04
Abstract: A method for video frame interpolation, a related electronic device and a storage medium is disclosed. A video is obtained. An (i−1)th frame and an ith frame of the video are obtained. Visual semantic feature maps and depth maps of the (i−1)th frame and the ith frame are obtained. Frame interpolation information is obtained based on the visual semantic feature maps and the depth maps. An interpolated frame between the (i−1)th frame and the ith frame is generated based on the frame interpolation information and the (i−1)th frame and is inserted between the (i−1)th frame and the ith frame.
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公开(公告)号：US20210350541A1
公开(公告)日：2021-11-11
申请号：US17382871
申请日：2021-07-22
Inventor： Qu CHEN , Xiaoqing Ye , Zhikang Zou , Hao Sun
Abstract: The disclosure provides a portrait extracting method, a portrait extracting apparatus and a storage medium. The method includes: obtaining an image to be processed; obtaining a semantic segmentation result and an instance segmentation result of the image, in which the semantic segmentation result includes a mask image of a portrait area of the image, and the instance segmentation result includes a mask image of at least one portrait in the image; fusing the mask. image of the at least one portrait and the mask image of the portrait area to generate a fused mask image of the at least one portrait; and extracting the at least one portrait in the image based on the fused mask image of the at least one portrait.
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公开(公告)号：US11983849B2
公开(公告)日：2024-05-14
申请号：US17203437
申请日：2021-03-16
Inventor： Chao Li , Dongliang He , Fu Li , Hao Sun
IPC: G06T9/00 , G06F18/214 , G06T3/4046 , G06T5/00 , G06T11/40 , G06T11/60 , G06V10/44 , G06V10/774 , G06V10/82
CPC classification number: G06T5/005 , G06F18/214 , G06T3/4046 , G06T9/00 , G06T11/40 , G06T11/60 , G06V10/454 , G06V10/774 , G06V10/82
Abstract: An image filling method and apparatus, a device and a storage medium are disclosed. The image filling method includes: performing multilevel encoding processing on features of an image to be filled to generate multilevel encoded feature layers, sizes of the multilevel encoded feature layers being reduced layer by layer; performing layer-by-layer decoding processing on the multilevel encoded feature layers to obtain multilevel decoded feature layers and a first image, there being no missing region in the first image, wherein the layer-by-layer decoding processing includes a concatenation operation on a decoded feature layer and an encoded feature layer with a same size; and performing up-sampling processing on the first image to obtain multilevel up-sampled feature layers and a second image optimized by the up-sampling processing, the up-sampling processing including a concatenation operation on an up-sampled feature layer and a decoded feature layer with a same size.
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公开(公告)号：US11875535B2
公开(公告)日：2024-01-16
申请号：US17339177
申请日：2021-06-04
Inventor： Zhikang Zou , Xiaoqing Ye , Xiao Tan , Hao Sun
CPC classification number: G06T7/80 , G06T7/74 , G06T2207/10028
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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