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公开(公告)号：US12008779B2
公开(公告)日：2024-06-11
申请号：US17604588
申请日：2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor： Wei Zhong , Hong Zhang , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo , Shengquan Li
IPC: G06T7/593 , G06T3/4076 , G06V10/40 , G06V10/44
CPC classification number: G06T7/593 , G06T3/4076 , G06V10/40 , G06V10/443 , G06T2207/20084
Abstract: The present invention discloses a disparity estimation optimization method based on upsampling and exact rematching, which conducts exact rematching within a small range in an optimized network, improves previous upsampling methods such as neighbor interpolation and bilinear interpolation for disparity maps or cost maps, and works out a propagation-based upsampling method by the way of network so that accurate disparity values can be better restored from disparity maps in the upsampling process.
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2.发明公开公开(公告)号：US20230419554A1
公开(公告)日：2023-12-28
申请号：US18252872
申请日：2020-11-27
Applicant: PENG CHENG LABORATORY
Inventor： Yueru CHEN , Jing WANG , Wenbo ZHAO , Ge LI , Wen GAO
Abstract: A point cloud attribute encoding method, a decoding method, an encoding device and a decoding device are disclosed, the point cloud attribute encoding method including: constructing an N-layer binary tree by partitioning a target point cloud according to positions of points within the point cloud, N being an integer greater than 1; for a target node at layer P of the binary tree, obtaining child nodes of the target node, determining a first attribute coefficient and second attribute coefficients of the target node by transforming first attribute coefficients of the child nodes, P being an integer greater than or equal to 1 and less than or equal to N−1; using the first attribute coefficient of a root node and the second attribute coefficients of each target node in the binary tree as output coefficients of the point cloud attribute encoding method.
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公开(公告)号：US20220215569A1
公开(公告)日：2022-07-07
申请号：US17603856
申请日：2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor： Wei ZHONG , Hong ZHANG , Haojie LI , Zhihui WANG , Risheng LIU , Xin FAN , Zhongxuan LUO , Shengquan LI
Abstract: The present invention belongs to the field of image processing and computer vision, and discloses an acceleration method of depth estimation for multiband stereo cameras. In the process of depth estimation, during binocular stereo matching in each band, through compression of matched images, on one hand, disparity equipotential errors caused by binocular image correction can be offset to make the matching more accurate, and on the other hand, calculation overhead is reduced. In addition, before cost aggregation, cost diagrams are transversely compressed and sparsely matched, thereby reducing the calculation overhead again. Disparity diagrams obtained under different modes are fused to obtain all-weather, more complete and more accurate depth information.
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公开(公告)号：US20240371046A1
公开(公告)日：2024-11-07
申请号：US18683359
申请日：2022-08-23
Applicant: PENG CHENG LABORATORY
Inventor： Yueru Chen , Jing Wang , Ge Li , Wen Gao
IPC: G06T9/00
Abstract: A point cloud attribute encoding method and apparatus, decoding method and apparatus are disclosed. The point cloud attribute encoding method includes: sorting point cloud data to be encoded to obtain sorted point cloud data; constructing a multilayer structure based on the sorted point cloud data and distances between the sorted point cloud data; obtaining an encoding mode corresponding to each of nodes in the multilayer structure. The encoding mode corresponding to each of the nodes is a direct encoding mode, a predictive encoding mode, or a transform encoding mode. The predictive encoding mode is to encode a node based on information of a neighboring node corresponding to the node. The transform encoding mode is to encode the node based on a transform matrix; and encoding point cloud attributes for each of the nodes based on the multilayer structure and the respective encoding mode.
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公开(公告)号：US12045310B2
公开(公告)日：2024-07-23
申请号：US17469274
申请日：2021-09-08
Applicant: Peng Cheng Laboratory
Inventor： Tao Wei , Yonghong Tian , Yaowei Wang , Yun Liang , Chang Wen Chen , Wen Gao
Abstract: Disclosed is a method and system for achieving optimal separable convolutions, the method is applied to image analyzing and processing and comprises steps of: inputting an image to be analyzed and processed; calculating three sets of parameters of a separable convolution: an internal number of groups, a channel size and a kernel size of each separated convolution, and achieving optimal separable convolution process; and performing deep neural network image process. The method and system in the present disclosure adopts implementation of separable convolution which efficiently reduces a computational complexity of deep neural network process. Comparing to the FFT and low rank approximation approaches, the method and system disclosed in the present disclosure is efficient for both small and large kernel sizes and shall not require a pre-trained model to operate on and can be deployed to applications where resources are highly constrained.
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Patent Agency Ranking
公开(公告)号：US20240039628A1
公开(公告)日：2024-02-01
申请号：US18278250
申请日：2021-06-28
Applicant: PENG CHENG LABORATORY
Inventor： Shupeng Deng , Caiming Sun , Weiwei Liu , Aidong Zhang
IPC: H04B10/079
CPC classification number: H04B10/0795 , G01J2009/002
Abstract: An on-chip wavefront sensor, an optical chip, and a communication device are disclosed. The on-chip wavefront sensor includes an antenna array configured for separating received spatial light to obtain a plurality of sub-light spots; a reference light source module configured for generating a plurality of intrinsic light beams; a phase shifter array configured for performing phase shifting processing on the intrinsic light beams to obtain reference light; and an optical detection module configured for performing coherent balanced detection according to the reference light and the sub-light spots to obtain a photocurrent corresponding to each of the sub-light spots.
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公开(公告)号：US20230353242A1
公开(公告)日：2023-11-02
申请号：US18342115
申请日：2023-06-27
Inventor： Qinyu ZHANG , Jiayin XUE , Yiqun ZHANG , Linkai WEN , Zhenyang QIAN
IPC: H04B10/118 , H04B10/50
CPC classification number: H04B10/118 , H04B10/503
Abstract: Disclosed are a many-to-many laser communication networking device and a method. The device includes: an optical field array control module, a transceiver lens array module, an array phase detection module, an array characteristic splitting module, a beam switching array module and a signal transmission module. The optical field array control module is configured to receive a plurality of beams of laser light with different angles, and adjust the corresponding angle of the laser. The transceiver lens array module is configured to convert the angle-adjusted laser into beams of second optical fiber light. The array characteristic splitting module is configured to analyze the second optical fiber light to obtain the second characteristic information. The beam switching array module is configured to control the second optical fiber light to be demodulated into baseband signals via a first path or to be forwarded via a second path according to the second characteristic information.
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公开(公告)号：US20220198694A1
公开(公告)日：2022-06-23
申请号：US17604588
申请日：2020-03-05
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY , PENG CHENG LABORATORY
Inventor： Wei ZHONG , Hong ZHANG , Haojie LI , Zhihui WANG , Risheng LIU , Xin FAN , Zhongxuan LUO , Shengquan LI
Abstract: The present invention discloses a disparity estimation optimization method based on upsampling and exact rematching, which conducts exact rematching within a small range in an optimized network, improves previous upsampling methods such as neighbor interpolation and bilinear interpolation for disparity maps or cost maps, and works out a propagation-based upsampling method by the way of network so that accurate disparity values can be better restored from disparity maps in the upsampling process.
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公开(公告)号：US20250142073A1
公开(公告)日：2025-05-01
申请号：US18681633
申请日：2022-08-23
Applicant: PENG CHENG LABORATORY
Inventor： Wenbo Zhao , Jing Wang , Ge Li , Wen Gao
IPC: H04N19/13 , G06T9/00 , H04N19/136 , H04N19/184
Abstract: A point cloud encoding method, decoding method, encoding device, and decoding device are disclosed. The point cloud encoding method includes calculating a distance from a first point to a parent point of the first point as a first distance; determining a point in un-encoded points closest to the first point as a second point, and calculating residual values on N coordinate components from the second point to the first point; encoding absolute values of the residual values on the N coordinate components from the second point to the first point; encoding signs of the residual values of the second point based on the residual values of the second point and the first distance. The present disclosure utilizes the geometry position relationship between points in a point cloud to encode the absolute values of residual values and the feasible signs of residual values, thereby improving the encoding efficiency of residual values. At the same time, by optimizing the encoding efficiency of residual values, the performance of point cloud prediction tree encoding is improved.
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公开(公告)号：US20230412769A1
公开(公告)日：2023-12-21
申请号：US18037408
申请日：2021-04-13
Applicant: PENG CHENG LABORATORY
Inventor： Wen Gao , Yaowei Wang , Xinbei Bai , Wen Ji , Yonghong Tian
Abstract: A visual computing system is disclosed. The visual computing system may include a front-end device, an edge service and a cloud service which are in communication connection, the front-end device is configured to output compressed video data and feature data, the edge service is configured to store the video data, and converge the feature data, transmit various types of data and control commands, and the cloud service is configured to store algorithm models used to support various applications, and return a model stream according to a model query command, realizing a data transmission architecture with multiple streams of video stream, feature stream, and model stream in parallel, and a system architecture of end, edge, and cloud collaboration.
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