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3D Hair Parametric Model Method Based on Sparse Localized Decomposition of Volume Vector Field

A parametric model, vector field technology, applied in 3D modeling, image data processing, computer parts and other directions, can solve the problem of time-consuming and laborious, achieve the effect of simple and fast operation and reduce the global effect

Active Publication Date: 2022-04-22
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0003] There are relatively few studies on the direction of manual interactive editing, because it is time-consuming and laborious and requires users to have a certain grasp of hair art, but it has the advantages of high degree of freedom of operation and fine modeling quality

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  • 3D Hair Parametric Model Method Based on Sparse Localized Decomposition of Volume Vector Field
  • 3D Hair Parametric Model Method Based on Sparse Localized Decomposition of Volume Vector Field
  • 3D Hair Parametric Model Method Based on Sparse Localized Decomposition of Volume Vector Field

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Embodiment Construction

[0061] The present invention will be further described below in conjunction with specific examples.

[0062] Such as figure 1 As shown, the 3D hair parametric model method based on the sparse localized decomposition of the volume vector field provided in this embodiment includes the following steps:

[0063] 1) For the 3D hairstyle database {H containing 343 data i} Carry out the preprocessing from the node-hairline structure to the volume vector field conversion, including the following steps:

[0064] 1.1) If figure 2 As shown in , a global compact AABB bounding box is calculated first, and the lengths of its three sides are respectively calculated from the extreme values ​​of the database on the x, y, and z axes.

[0065] 1.2) Voxelize the bounding box and specify the voxelization scale S vox , take the subdivision data of the shortest side among the three sides of the bounding box as S vox , the number of subdivisions on the other two sides is based on the length rat...

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Abstract

The invention discloses a method for a three-dimensional hair parametric model based on the sparse localized decomposition of the volume vector field, which comprises the steps of: 1) performing preprocessing on the hairstyle data from node-hairline structure conversion to the volume vector field, and obtaining hair 2) Calculate the average data of the volume vector field, hair length and local density, and construct three residual matrices for dimensionality reduction; 3) Use SPLOC to carry out the three residual matrices Dimensionality reduction processing obtains the sparse localized bases of the three features, and linearly mixes them with their respective average data to obtain a parametric model; 4) By assigning different mixing coefficients to the parametric model, the hair weight based on the Euler polyline method is used. The construction method calculates the hairline nodes from the volume vector field to obtain different new hairstyle data. The invention realizes a simple artificial editing function of three-dimensional hairstyles, so that users can reconstruct rich and varied three-dimensional hair models by simply selecting different feature bases and adjusting their mixing coefficients.

Description

technical field [0001] The invention relates to the technical field of computer graphics and three-dimensional hairstyle data reconstruction, in particular to a three-dimensional hair parametric model method based on sparse localized decomposition of volume vector field. Background technique [0002] Hair modeling has a wide range of application backgrounds in the fields of film and television entertainment, virtual reality, etc., but 3D hair modeling is still in the immature exploration stage, and it is a research difficulty in computer graphics. A hairstyle has as many as thousands of hair strands , hairstyles have no rules to follow, and 3D hairstyle data is difficult to obtain. Various reasons make the research of 3D hair modeling full of challenges. In recent years, the research on hair modeling at home and abroad has gradually become hot, and it shows different research directions. At present, the main methods of hair modeling are divided into two categories: manual in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00G06V10/77G06K9/62
CPCG06T17/00G06T2210/12G06F18/2135
Inventor 梁君达李桂清
Owner SOUTH CHINA UNIV OF TECH
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