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公开(公告)号：US20230095093A1
公开(公告)日：2023-03-30
申请号：US17807369
申请日：2022-06-16
Inventor： Xiaoqing YE , Hao SUN
IPC: G06V10/776 , G06V20/64 , G06V10/774 , G06V10/22 , G06V10/764 , G06V10/74
Abstract: Provided are a training method and apparatus for a target detection model, a target detection method and apparatus, a device, and a media, which relates to the field of artificial intelligence and, in particular, to computer vision and deep learning technologies, which may be applied to 3D visual scenes. A specific implementation includes acquiring a sample image marked with a difficult region; inputting the sample image into a first target detection model and calculating a first loss corresponding to the difficult region; and increasing the first loss and training the first target detection model according to the increased first loss. In this manner, the accuracy of target detection can be improved and the cost of target detection can be reduced.
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公开(公告)号：US20220358735A1
公开(公告)日：2022-11-10
申请号：US17875124
申请日：2022-07-27
Inventor： Bo JU , Zhikang ZOU , Xiaoqing YE , Xiao TAN , Hao SUN
Abstract: A method for processing an image may include: acquiring a target image; segmenting a target object in the target image, and determining a mask image according to a segmentation result; rendering the target object according to the target image and the mask image and determining a rendering result; and performing AR displaying according to the rendering result. A device and storage medium may implement the method.
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公开(公告)号：US20220351495A1
公开(公告)日：2022-11-03
申请号：US17865261
申请日：2022-07-14
Inventor： Qu CHEN , Xiao TAN , Xiaoqing YE , Hao SUN
Abstract: A method for matching an image feature point, an electronic device, and a storage medium are provided. The method may include: for images in an acquired image sequence, performing operations including: obtaining a mapping image of a current image based on mapping transformation information between adjacent images before the current image; determining in the mapping image a target area for matching with a feature point in a last image frame prior to the current image; matching the feature point in the last image frame with a feature point in the target area corresponding to the feature point, to determine matching information between the feature point of the current image and the feature point of the last image frame; and determining mapping transformation information between the current image and the last image frame, based on the matching information.
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公开(公告)号：US20220215565A1
公开(公告)日：2022-07-07
申请号：US17703731
申请日：2022-03-24
Inventor： Minyue JIANG , Xiao TAN , Hao SUN
IPC: G06T7/50
Abstract: A method for generating a depth map, an electronic device and a storage medium. The method includes: obtaining a point cloud map and a visual image of a scene; generating a first depth value of each pixel in the visual image based on the point cloud map and the visual image; determining a three-dimensional coordinate location of each pixel in a world coordinate system based on a coordinate location and the first depth value of each pixel in the visual image; generating a second depth value of each pixel by inputting the three-dimensional coordinate location and pixel information of each pixel into a depth correction model; and generating the depth map of the scene based on the second depth value of each pixel.
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公开(公告)号：US20220215507A1
公开(公告)日：2022-07-07
申请号：US17552182
申请日：2021-12-15
Inventor： Xiaoqing YE , Qu CHEN , Xiao TAN , Hao SUN
IPC: G06T3/40
Abstract: An image stitching method and apparatus, a device, and a medium is provided. An implementation solution is: obtaining a first image and a second image, where the first image and the second image have an overlapping area; determining a first stitching line segment of the first image and a second stitching line segment of the second image, where the second stitching line segment has a first matching line segment in the first image; determining a first stitching area of the first image based on the first stitching line segment and the first matching line segment; configuring a first target canvas at least based on the first stitching area; determining, for each pixel of a plurality of pixels included in the first stitching area, a corresponding mapping pixel in the first target canvas; and mapping pixel values of the plurality of pixels included in the first stitching area to the corresponding mapping pixels in the first target canvas, respectively, to obtain an image to be stitched of the first image.
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Patent Agency Ranking
公开(公告)号：US20230306081A1
公开(公告)日：2023-09-28
申请号：US18054233
申请日：2022-11-10
Inventor： Xiaoqing YE , Ruihang CHU , Hao SUN
CPC classification number: G06K9/6259 , G06K9/6262 , G06K9/6218 , G06K9/6261 , G06T7/11 , G06T2207/10028 , G06T2207/20081
Abstract: A method for training a point cloud processing model and a method for performing instance segmentation on a point cloud are provided. The method includes: labeling an unlabeled point cloud according to a labeled point cloud to obtain a sample point cloud; inputting the sample point cloud to a point cloud processing model to obtain first predicted semantic information of the sample point cloud and a first predicted offset of the sample point cloud; determining a training loss according to the first predicted semantic information, the first predicted offset, a sample label corresponding to the sample point cloud, and original coordinate information of the sample point cloud; and training the point cloud processing model with the training loss.
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公开(公告)号：US20230099113A1
公开(公告)日：2023-03-30
申请号：US17807371
申请日：2022-06-16
Inventor： Xiaoqing YE , Xiao TAN , Hao SUN
Abstract: Provided are a training method and apparatus for a target detection model, a target detection method and apparatus, and a medium. A specific implementation includes inputting a sample image into a point cloud feature extraction network of a first target detection model to obtain an image feature of a generation point cloud; inputting the image feature of the generation point cloud into a first bird's-eye view feature extraction network of the first target detection model to obtain a first bird's-eye view feature; inputting the first bird's-eye view feature into a prediction network of the first target detection model to obtain a first detection result; and calculating a first loss according to a standard 3D recognition result of the sample image and the first detection result and training the first target detection model according to the first loss.
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公开(公告)号：US20230036294A1
公开(公告)日：2023-02-02
申请号：US17936609
申请日：2022-09-29
Inventor： Bo JU , Xiaoqing YE , Xiao TAN , Hao SUN
Abstract: Disclosed are a method for processing an image, an electronic device, and a storage medium. The method includes: acquiring a plurality of point cloud grids from a gridded point cloud map; determining each reference plane with the number of sampling points matched being greater than or equal to a threshold from the initial planes corresponding respectively to the plurality of the point cloud grids; correcting the initial planes corresponding respectively to the plurality of point cloud grids based on each reference plane to obtain target planes corresponding respectively to the plurality of point cloud grids; and performing denoise processing on sampling points based on the target plane of each point cloud grid.
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公开(公告)号：US20230030431A1
公开(公告)日：2023-02-02
申请号：US17963865
申请日：2022-10-11
Inventor： Yingying LI , Xiao TAN , Hao SUN
Abstract: A method for extracting a feature includes: acquiring a predicted object segmentation annotation image of a (T-1)-th frame in a video and a pixel-level feature map of a T-th frame in the video, T being a positive integer greater than 2; performing respectively feature mapping on the predicted object segmentation annotation image of the (T-1)-th frame and the pixel-level feature map of the T-th frame, to obtain a mapping feature map of the (T-1)-th frame and a mapping feature map of the T-th frame; and performing a convolution on the mapping feature map of the T-th frame using a convolution kernel of the mapping feature map of the (T-1)-th frame, to obtain a score map of the T-th frame.
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公开(公告)号：US20220392101A1
公开(公告)日：2022-12-08
申请号：US17887740
申请日：2022-08-15
Inventor： Zipeng LU , Jian WANG , Hao SUN , Errui DING
IPC: G06T7/70 , G06T7/62 , G06V10/25 , G06V10/74 , G06V10/774
Abstract: A training method, a method of detecting a target image, an electronic device and a medium, which relate to the field of artificial intelligence technology, and in particular to fields of computer vision and deep learning. The method can include: generating an expanded sample image set for a target scene by using a mask image set and an initial sample image set, wherein the mask image set is acquired by parsing a predetermined image set, a target object in the target scene is interfered by another object or the target object in the target scene is cut off, and an image in the predetermined image set includes the target object in the target scene or the another object; and training, by using the initial sample image set and the expanded sample image set, a detection model for detecting the target object.
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