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Three-dimensional face model map fusion method and computer processing equipment

A 3D face and fusion method technology, applied in the 3D field, can solve problems such as obvious edge gaps, excessive and unnatural fusion colors of face textures, etc.

Pending Publication Date: 2019-09-13
SHENZHEN THREE D ARTIFICIAL INTELLIGENCE THCHNOLOGY CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a 3D face model texture fusion method to solve the problems that the face texture fusion color is too unnatural and the edge gaps are obvious when the 3D face model is reconstructed from a single photo.

Method used

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  • Three-dimensional face model map fusion method and computer processing equipment
  • Three-dimensional face model map fusion method and computer processing equipment
  • Three-dimensional face model map fusion method and computer processing equipment

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Embodiment Construction

[0074] The present invention will be further described below in conjunction with the accompanying drawings and preferred embodiments.

[0075] Such as figure 1 shown, and combined with Figure 2-Figure 8 Shown process, a kind of three-dimensional human face model mapping fusion method of the present invention, this method comprises:

[0076] S101. Acquire a public model map and a user picture, the public model map includes a male model face area to be fused, the user picture includes a user face area to be fused, and combine the public model face area with the user face area. Corresponding to the position of the face area;

[0077] S102. Adjust the color of the male model map as a whole, so that the color of the male model map is consistent with the color of the user's face area;

[0078] S103. Merge the user's face area into the male model's face area to eliminate obvious splicing gaps;

[0079] S104. Use a multi-band mixing method to further eliminate weak gaps that exis...

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Abstract

The invention discloses a three-dimensional face model map fusion method. The three-dimensional face model map fusion method comprises the following steps: obtaining a male model map and a user picture; integrally adjusting the color of the male mold map to enable the color of the male mold map to be consistent with the color of the face area of the user; fusing the user face area to the male moldface area, and eliminating obvious splicing gaps; using a multi-band mixing method to further eliminate a weak gap existing after the user face area is fused to the male model face area; and obtaining a new map after fusion. According to the three-dimensional face model texture fusion method, manual interaction is not needed in the whole process from preprocessing to final three-dimensional facemap fusion, and full-automatic operation is achieved. According to the three-dimensional face model texture fusion method, on the actual effect, detail defects possibly existing in three-dimensional face model map fusion are processed.

Description

technical field [0001] The invention relates to the field of three-dimensional technology, in particular to a three-dimensional face model texture fusion method and computer processing equipment. Background technique [0002] Fusion between two or more images is a very critical and important image editing technique. Simply copying a part of the image area from one or more images to another image for simple synthesis will make the composite image synthesis unnatural and the transition not smooth. Especially in the edge area of ​​the synthesized image, it usually needs to be processed more carefully. There are three main methods for fusion between images: Poisson's equation solving method based on gradient domain, feature-based synthesis method and Levenberg-Marquardt method (Levenberg-Marquardt). [0003] The Poisson equation solution method based on the gradient domain, the main process is that the images inside the merged area maintain the gradient information between the...

Claims

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Application Information

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IPC IPC(8): G06T15/04G06T17/00G06T19/20G06T5/50
CPCG06T15/04G06T17/00G06T19/20G06T5/50G06T2207/30201G06T2207/20221G06T2200/04
Inventor 王志全
Owner SHENZHEN THREE D ARTIFICIAL INTELLIGENCE THCHNOLOGY CO LTD
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