Method for modeling personalized human face basedon orthogonal image

An orthogonal image and modeling method technology, applied in the field of personalized face models, can solve the problem of single angle of personalized face models
CN1940996AInactive Publication Date: 2007-04-04SHENZHEN TECHVISUM TECH LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN TECHVISUM TECH LTD
Publication Date
2007-04-04
Estimated Expiration
Not applicable · inactive patent

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Abstract

A fast human face module building method based on quadrature images includes: take two pictures from the front and side face; normalize the two pictures; make projective grid of the two orthogonal graphs through a general face grid module; get the best matching index of the face graph and the projective grid on the character points; then apply it to the project grid and radial functional interpolation to get an accurate total matching points; resume the three-dimensional data from the matched projective grid to get the face grid module; finally texture mapping the grid module to get the final unique face module.
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Description

technical field

[0001] The invention relates to the technical field of three-dimensional data modeling, in particular to a method for obtaining a personalized human face model from two orthogonal human face images. Background technique

[0002] Face modeling has attracted the attention of researchers due to its wide application. One of the most important directions is personalized modeling. Due to its wide application, it has attracted more and more researchers in face modeling. Pay attention to.

[0003] There are currently many methods for personalized modeling. In terms of data sources, modeling can be performed from three-dimensional data, or from multiple images, such as orthographic images. Alternatively, modeling can be done from video. The present invention mainly focuses on the personalized modeling process starting from the orthogonal image.

[0004] There are two main approaches for personalized modeling starting from orthogonal images. The first is to select c...

Claims

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