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Hair model modeling method

A model modeling and hairstyle technology, applied in the field of realistic hair hairstyle modeling based on reusable hairstyle constraints, can solve problems such as hairline feature distortion, performance impact, and loss of hairstyle details

Active Publication Date: 2013-04-10
NORTHWEST UNIV
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  • Description
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AI Technical Summary

Problems solved by technology

This method can effectively realize the reuse of existing hair models, but the parameterized scalp space requires that the hairs should be distributed on the upper hemisphere as much as possible, otherwise the extracted hair features will carry serious distortions
In addition, due to dimensionality reduction for hair features, the details of some hairstyles are lost
The performance of the method also suffers when the hairline scale of the source model is large
Therefore, the current reuse of existing hair models mainly faces two problems: ① It is necessary to quickly and accurately extract the appearance characteristics of the source model hairstyle, and establish a mapping relationship with as low distortion as possible; The new hairstyle of the model, in order to provide users with an interface for manual adjustment, it should also meet the subsequent editability

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0133] This embodiment adopts following method to generate the ponytail hairstyle shown in Figure 1:

[0134] Step 1: According to the overall shape of the overall hairstyle to be generated, the hair growth area, that is, the scalp grid is specified on the target avatar model; the scalp grid parameter domain A of the target avatar model is established on the scalp grid by using the grid parameterization method;

[0135] Step 2, generate the two-dimensional distribution of Q root sample hairs:

[0136] (1) Generate a two-dimensional distribution of global hair on the scalp grid parameter domain A, and map the result to the scalp grid of the target avatar model;

[0137] (2) Use the K-means clustering method to evenly divide the two-dimensional distribution of global hair on the scalp grid parameter domain A into Q clusters, and use Q root sample hairs to represent the overall hair shape of the hair cluster. The hair roots of the sample hairs are all located in the cluster cent...

Embodiment 2

[0164] This embodiment adopts the method of embodiment 1 to generate image 3 The ponytail hairstyle shown. image 3 (a) and image 3 (b) Indicates the construction of the "double ponytail", which divides the main part of the scalp mesh into two regions, and applies a cluster constraint domain respectively, so that the hair strands in each region face different "gathering" directions Grow, then apply an equidistant constraint domain in the vertical direction to the scatter-corrected hair strands, simulating the effect of gravity. Other parts, such as the part of staying in the sea, also apply the cluster constraint domain and equidistant constraint domain.

Embodiment 3

[0166] Method According to the overall hairstyle characteristics of the overall hairstyle to be generated, Q sample hair strands are respectively generated, and the natural deformation effect processing of the Q root sample hair strands is completed according to the natural deformation characteristics of the overall hairstyle to be generated, and then the Q root sample hair strands are used to The hair strands respectively represent the shape of their respective hair clusters, and the remaining hair strands in their respective hair clusters are generated according to the interpolation of each sample hair strand, so as to generate the overall hairstyle on the target avatar model. Follow the steps below:

[0167] Step (1), performing step 1 of the method described in Embodiment 1;

[0168] Step (2), performing steps 2 to 3 of the method described in Example 1;

[0169] Step (3), execute step 4 in the method of embodiment 1;

[0170] Step (4), on the basis of the collection of s...

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Abstract

The invention discloses a hair model modeling method. Firstly, a simplex hair style of a hair style model is formed by a hair style constrained domain, complex hairline transformation is controlled by a hierarchical constrained domain queue, and therefore generation of diversified hair styles is supported. On that basis, a mapping relation of the hair style constrained domain is built among any fictional character models, and therefore a rapid and reusable modeling of a fictional character hair style can be achieved. According to the hair model modeling method, general applicability of the hair style restrained domain is expanded, due to combination of methods of hair style restrained domain and a hair style modeling based on a sample, diversity degree of hair styles generated through a hair style constraint method can be significantly improved, rapid reusing of built hair style constraints on any fictional character models is supported, and therefore the rapid and reusable modeling of fictional character hairs is achieved.

Description

technical field [0001] The invention belongs to the field of realistic character modeling in computer graphics, and in particular relates to a realistic hair hairstyle modeling method based on reusable hairstyle constraints. By establishing a mapping relationship between hairstyle constraints and arbitrary virtual character models, the hairstyle constraints can be achieved. Reuse, to achieve the purpose of rapid hair generation. Background technique [0002] As the first impression released by the appearance to the outside world, the character's hair has become one of the important means of shaping virtual characters in film and television animation production. However, so far, realistic hairstyle modeling is still a very difficult task. The reason is that the order of magnitude of hair modeling is usually 50k-100k, and the geometric representation and control methods for hair are complicated with the hairstyle to be built. The degree of increase, the modeling workload grea...

Claims

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Application Information

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IPC IPC(8): G06T17/30
Inventor 耿国华周明全李康韩翼刘伦椿尚鹏任少平贺洁琼晋武侠郝妮杜宏强
Owner NORTHWEST UNIV
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