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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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Patent Agency Ranking
12.发明申请公开(公告)号：US20210312686A1
公开(公告)日：2021-10-07
申请号：US17350449
申请日：2021-06-17
Inventor： Tianwei Lin , Fu Li , Xiaoqing Ye , Henan Zhang , Xin Li
Abstract: The present disclosure discloses a method and apparatus for generating a human body three-dimensional model, a device and a storage medium. The method may include: receiving a single human body image, and extracting an SMPL human body three-dimensional model corresponding to the human body image and a PIFu human body three-dimensional model corresponding to the human body image; matching the SMPL human body three-dimensional model with the PIFu human body three-dimensional model to obtain a matching result; determining a vertex of the SMPL human body three-dimensional model closest to a vertex of the PIFu human body three-dimensional model based on the matching result to obtain a binding weight of the vertex of the PIFu human body three-dimensional model and each skeleton point of the SMPL human body three-dimensional model; and outputting a drivable human body three-dimensional model.
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公开(公告)号：US11615605B2
公开(公告)日：2023-03-28
申请号：US17349055
申请日：2021-06-16
Inventor： Xiaoqing Ye , Xiao Tan , Hao Sun
Abstract: A vehicle information detection method, 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: determining a bird's-eye view of a target vehicle based on an image of the target vehicle; performing feature extraction on the image of the target vehicle and the bird's-eye view respectively, to obtain first feature information corresponding to the image of the target vehicle and second feature information corresponding to the bird's-eye view of the target vehicle; and determining three-dimensional information of the target vehicle based on the first feature information and the second feature information. According to embodiments of the disclosure, accurate detection of vehicle information can be realized based on a monocular image.
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14.发明授权公开(公告)号：US11587338B2
公开(公告)日：2023-02-21
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：US20210319579A1
公开(公告)日：2021-10-14
申请号：US17179456
申请日：2021-02-19
Inventor： Xiaoqing Ye , Xiao Tan , Hao Sun , Hongwu Zhang
Abstract: Embodiments of the present disclosure disclose a method and apparatus for generating position information, a device and a medium. A specific embodiment of the method includes: acquiring an image and vehicle position information, wherein the image includes a target element; inputting the image into a pre-established depth map generation model to obtain a first depth map, wherein the focal length of sample images of sample data used during the training of the model is a sample focal length; generating a second depth map based on the sample focal length, the first depth map, and an estimated focal length of the image; determining depth information of the target element according to element position information of the target element in the image and the second depth map; and generating position information of the target element based on the vehicle position information and the depth information of the target element.
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公开(公告)号：US20210304438A1
公开(公告)日：2021-09-30
申请号：US17346835
申请日：2021-06-14
Inventor： Xiaoqing Ye , Zhikang Zou , Xiao Tan , Hao Sun
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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