Patent
Human face data processing method and device, and computer-readable storage medium
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TL;DR: In this article, a human face data processing method, comprising of acquiring a picture of a person's face by means of a scanning apparatus, obtaining point cloud information by using a structured light stripe, and mapping the three-dimensional model onto a circular plane in an area-preserving manner, so as to form a two-dimensional facial image (S130).
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Abstract: Disclosed is a human face data processing method, comprising: acquiring a picture of a human face by means of a scanning apparatus, obtaining point cloud information by means of a structured light stripe, and then obtaining a three-dimensional model of the human face (S110); and mapping the three-dimensional model onto a circular plane in an area-preserving manner, so as to form a two-dimensional facial image (S130). Three-dimensional data is converted into two-dimensional data, thereby facilitating data storage. In addition, the three-dimensional data uses the area-preserving manner, such that the restoration quality is better when the two-dimensional data is restored to the three-dimensional data, thereby facilitating the re-utilization of a three-dimensional image.
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Citations
Patent
Method and device for planarization processing of three-dimensional data of brain, and storage medium
TL;DR: In this paper, a method for planarization processing of 3D data of a brain was proposed, which consists of obtaining a 3D model related to the brain through scanning equipment, marking a plurality of regions of the three-dimensional model of the brain, and mapping the brain model to a unit disc in an area-preserving manner.
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Patent
Method and device for planarizing three-dimensional data of brain and computer-readable storage medium
Chen Wei,Ren Yuxue,Wu Boyang +2 more
- 14 May 2021
TL;DR: In this paper, a method for planarizing 3D data of a brain was proposed, comprising of obtaining, by a scanning device, a three-dimensional model of the brain, the 3D model comprising the threedimensional data, and mapping the model onto a circle in an area-preserving manner in the computer to form an area preserving map.
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Li Haisheng,Zheng Yanping,L. Sun,Wu Yujuan,Xiaoqun Wu,Cai Qiang +5 more
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TL;DR: In this article, a three-dimensional grid model retrieval method based on a geometry image was proposed, which comprises the following steps that: mapping a 3D grid model to a spherical surface through an area-preserving parameterization method to obtain a parameterized spherical threedimensional grid; then, mapping the obtained spherical 3D Grid model to an octahedron, and shearing and paving along the edge of the octahedral edge to obtain two-dimensional plane; utilizing three different types of geometrical characteristics of the 3DGrid model to code eachpixel on the
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Conductive film, touch panel, and display device
友洋 中込,Tomohiro Nakagome,陽太 長谷,Yota Hase,ルイス・マヌエル・ムリジョーモラ,Luis Manuel Murijomora +5 more
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TL;DR: In this paper, a sensing electrode wire is configured such that the inclination of the virtual line segments with respect to the first electrode direction D1 is irregularly changed in the arrangement order of virtual lines segments in a virtual line.
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Three-dimensional object rapid reconstruction method based on camera array
Xiong Zhaolong,Lai Zuomei +1 more
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TL;DR: In this article, a three-dimensional object rapid reconstruction method based on a camera array is proposed, which aims to provide a rapid reconstruct method which is high in acquisition precision and can rapidly reconstruct the 3D point cloud of a tested object.
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Point group selection based on network Voronoi diagram
Yan Haowen,Lu Xiaomin,Wu Fang +2 more
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TL;DR: In this article, a point group synthesis algorithm based on a network weighted Voronoi diagram is provided for overcoming the defect that point groups in a traditional algorithm for automatic map synthesis are connected through Euclidean distances instead of actual network distances.
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Patent
Three-dimensional face recognition method based on plane parameterization
Qian Zhiyan,Wang Guoqiang,Zhang Bin,Chen Xuewei +3 more
- 23 Jul 2019
TL;DR: In this article, a three-dimensional face recognition method based on plane parameterization is proposed, which comprises the following specific steps: automatically selecting an area containing most significant features of a human face; and then finding a base plane through the nose tip, and calculating a relative depth, namely slope denaturation; trangularizing and mapping the ROIin the range data into an isomorphic two-dimensional plane circle, reserving inherent geometric properties, and finally, applying the feature surface method to the mapping depth image to realize a recognition task.
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