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公开(公告)号：US11004206B2
公开(公告)日：2021-05-11
申请号：US16490082
申请日：2017-03-21
Inventor： Wenchao Li , Ruizhen Hu , Hui Huang
Abstract: The present disclosure provides a three-dimensional shape expression method and device thereof. The method includes following steps: extracting a hybrid type framework of a three-dimensional shape; obtaining a segmentation of the three-dimensional shape by segmenting the hybrid type framework; obtaining a sub-structure of the three-dimensional shape according to the segmentation of the three-dimensional shape; and establishing an expression of the three-dimensional shape by using a bag-of-words model according to the sub-structure of the three-dimensional shape. The embodiments of the present disclosure are capable to express a three-dimensional shape with an easy and high-efficient method.
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公开(公告)号：US09710725B2
公开(公告)日：2017-07-18
申请号：US14902332
申请日：2013-12-04
Inventor： Kangxue Yin , Hui Huang
CPC classification number: G06K9/6251 , G06K9/342 , G06K9/4671 , G06K9/48 , G06K9/481 , G06K9/6207 , G06K2009/366 , G06K2009/484 , G06T7/13
Abstract: Provided is a method for extracting an image salient curve. The method comprises the following steps: drawing an approximate curve along a salient edge of an image from which a salient curve is to be extracted; obtaining short edges in the image; calculating a harmonic vector field by using the drawn curve as a boundary condition; filtering the short edges in the image by using the harmonic vector field; updating the vector field by using the short edges left in the image as boundary conditions; and obtaining an optimal salient curve of the image by using the energy of a minimized spline curve in the vector field. Also provided is a system for extracting an image salient curve. The image salient curve can ensure the smoothness and a bending characteristic.
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公开(公告)号：US09684817B2
公开(公告)日：2017-06-20
申请号：US14893035
申请日：2013-11-26
Inventor： Hui Huang
IPC: G06K9/00 , G06K9/40 , G06K9/20 , G06K9/56 , G06K9/62 , G06T15/10 , G06T19/20 , G06T19/00 , G06T5/00
CPC classification number: G06K9/00214 , G06K9/00201 , G06K9/209 , G06K9/40 , G06K9/56 , G06K9/6207 , G06K9/6211 , G06K9/6249 , G06T5/002 , G06T15/10 , G06T19/00 , G06T19/20 , G06T2207/10028 , G06T2210/56
Abstract: Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires repeated scanning. Further disclosed is a system for automatically optimizing point cloud data quality.
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公开(公告)号：US09390552B1
公开(公告)日：2016-07-12
申请号：US14378976
申请日：2013-09-13
Inventor： Hui Huang , Shihao Wu , Baoquan Chen , Liangliang Nan
CPC classification number: G06T17/00 , G06T2210/56
Abstract: A method for extracting a skeleton form a point cloud includes: obtaining inputted point cloud sampling data; contracting the point cloud using an iterative formula and obtaining skeleton branches, the iterative formula is: arg min X ∑ i ∈ I = ∑ j ∈ J x i - q i θ ( x j - q j ) + R ( X ) , wherein R ( X ) = ∑ i ∈ I γ i ∑ i ′ ∈ I / { i } θ ( x i - x i ′ ) σ i x i - x i ′ , θ ( r ) = ⅇ 4 r 2 h 2 , wherein J represents a point set of the point cloud sampling data, q represents the sampling points in the point set J, I represents a neighborhood point set of the sampling points q, x represents the neighborhood points in the neighborhood point set I. R is a regular term, γ is a weighting coefficient, h is a neighborhood radius of the neighborhood point set I, and σ is a distribution coefficient; and connecting the skeleton branches and obtaining a point cloud skeleton.
Abstract translation: 一种用于从点云提取骨架的方法包括：获得输入的点云采样数据; 使用迭代公式收集点云并获得骨架分支，迭代公式为：arg·peng minXΣi∈I =Σj∈Jx i-q iㄧ （x j-q j）+ R（X）其中R（X）=Σi∈IγiΣi'∈I / {i}＆thetas; （x i - x i'）＆sgr ix i - x i'，＆thetas; （r）=ⅇ4r 2 h 2，其中J表示点云采样数据的点集，q表示点集合J中的采样点，I表示采样点q的邻域点集， x表示邻域点集合I中的邻域点.R是常规项，γ是加权系数，h是邻域点集I的邻域半径，＆sgr; 是分布系数; 并连接骨架分支并获得点云骨架。
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5.发明授权公开(公告)号：US10833964B2
公开(公告)日：2020-11-10
申请号：US16490609
申请日：2017-03-13
Inventor： Wenchao Li , Jiehong Liu , Hui Huang
Abstract: The present disclosure provides a visual analytical method for a network system structure and a network communication mode including following steps: pre-processing network traffic flow log data; dividing and analyzing network nodes by utilizing a visualization technology according to the pre-processed data, and combining a user interaction to determine server nodes and client nodes in the network nodes; performing a visual analysis on traffic flow and an access situation of the server nodes to determine a server function category according to the determined server nodes; and presenting and analyzing the network communication mode through the visualization technology according to the determined server nodes, the client nodes and the server function category. The present disclosure further provides a visual analytical system for the network system structure and the network communication mode.
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Patent Agency Ranking
公开(公告)号：US10121283B2
公开(公告)日：2018-11-06
申请号：US15371148
申请日：2016-12-06
Inventor： Hui Huang , Kangxue Yin , Daniel Cohen-Or
Abstract: A method for reconstructing surface from a point cloud includes following steps: (a) extracting skeletal curves from an input point cloud; (b) editing the extracted skeletal curves, and assigning sweeping path; (c) obtaining sliced point clouds along the edited skeletal curves, and fitting a closed NURBS curve according to the sliced point clouds; (d) reconstructing the point cloud to get generalized cylinders along the assigned sweeping path, according to the closed NURBS curves; (e) merging the generalized cylinders into a single surface, and smoothing intersections of the generalized cylinders so as to reconstruct surface from the point cloud. The invention further relates to a system for reconstructing surface from a point cloud. The invention can reconstruct the surface with high accuracy by the minimum interactions, and can deal with point cloud data having missing region caused by occlusion. In addition, the invention can achieve high reconstruction quality and fine controllability.
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公开(公告)号：US10089781B2
公开(公告)日：2018-10-02
申请号：US15389959
申请日：2016-12-23
Inventor： Hui Huang , Shihao Wu , Minglun Gong , Matthias Zwicker , Daniel Cohen-Or
Abstract: The present disclosure provides a three-dimensional point cloud model reconstruction method and a device. The method comprises: 1) sampling and WLPO-consolidating an input point set to generate an initial surface point set, copying the initial surface point set as an initial position of an interior skeleton point set, to establish a correspondence relation between surface points and skeleton points; 2) moving points in the interior skeleton point set inwards along a direction opposite to a normal vector thereof, to generate interior points; 3) using a self-adaptive anisotropic neighborhood as a regularization term to perform an optimization of the interior points, and generating skeleton points; 4) performing a consolidation and completion of the initial surface point set using the skeleton points, to generate consolidated surface points; 5) reconstructing a three-dimensional point cloud model according to the skeleton points, the surface points and the correspondence relation between the surface points and the skeleton points.
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公开(公告)号：US20170084080A1
公开(公告)日：2017-03-23
申请号：US15371148
申请日：2016-12-06
Inventor： Hui Huang , Kangxue Yin , Daniel COHEN-OR
CPC classification number: G06T17/10 , G06T17/30 , G06T2210/56
Abstract: A method for reconstructing surface from a point cloud includes following steps: (a) extracting skeletal curves from an input point cloud; (b) editing the extracted skeletal curves, and assigning sweeping path; (c) obtaining sliced point clouds along the edited skeletal curves, and fitting a closed NURBS curve according to the sliced point clouds; (d) reconstructing the point cloud to get generalized cylinders along the assigned sweeping path, according to the closed NURBS curves; (e) merging the generalized cylinders into a single surface, and smoothing intersections of the generalized cylinders so as to reconstruct surface from the point cloud. The invention further relates to a system for reconstructing surface from a point cloud. The invention can reconstruct the surface with high accuracy by the minimum interactions, and can deal with point cloud data having missing region caused by occlusion. In addition, the invention can achieve high reconstruction quality and fine controllability.
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公开(公告)号：US10394979B2
公开(公告)日：2019-08-27
申请号：US15392688
申请日：2016-12-28
Inventor： Bin Wang , Hui Huang , Longhua Wu
Abstract: The present disclosure discloses a method and a device for elastic object deformation modeling. The method comprises: acquiring a static point cloud of the elastic object and dynamic point cloud sequences; establishing a simulation tetrahedral mesh model; driving the simulation tetrahedral mesh model to track the dynamic point cloud sequences, to obtain track deformation sequences; iteratively estimating material property coefficients and corresponding reference shapes of the elastic object; performing the following operations in each iteration: obtaining a reference shape corresponding to a current material property coefficient; driving the simulation tetrahedral mesh model to simulate the deformation from the same initial deformation according to the coefficient and the reference shape to obtain a simulation deformation sequences; calculating a positional deviation between the simulation deformation sequences and the track deformation sequences; and updating the material property coefficients in a direction in which the positional deviation is decreased; establishing an elastic object deformation model according to a material property coefficient under a minimum positional deviation and corresponding reference shape. The technical solution can establish a vivid elastic object deformation model.
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公开(公告)号：US10916022B2
公开(公告)日：2021-02-09
申请号：US16487087
申请日：2017-03-27
Inventor： Huajie Shi , Yang Zhou , Hui Huang
Abstract: Disclosed are a texture synthesis method and a device using the same. The texture synthesis method adopts a source labeled diagram and a target labeled diagram in combination to guide the texture synthesis process, so that the texture synthesis is in a controlled state, thus effectively improving the accuracy and efficiency of the computer in processing complex texture information such as textures composed of multiple materials or textures involving non-uniform gradients. Meanwhile, determination of the accuracy of the texture features of the labeled diagram is introduced to the process of producing the labeled diagram, and the labeled diagram with low accuracy is re-abstracted and -segmented so that the classification of the texture features would be more accurate. This interactive iterative method improves the accuracy of the labeled diagram generation process. The device using this method also provides the same technical effects.
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