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Method for structuring gesture movement basic element models on basis of gesture recognition

A technology of gesture movement and model structure, applied in the field of gesture animation research, can solve the problems of virtual human models being fixed, unable to change, not vivid enough, etc.

Active Publication Date: 2015-02-25
韩慧健
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, at present, the virtual human is not based on real-life images, which is not vivid enough, and the virtual human model is fixed and cannot be changed according to the environment and needs

Method used

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  • Method for structuring gesture movement basic element models on basis of gesture recognition
  • Method for structuring gesture movement basic element models on basis of gesture recognition
  • Method for structuring gesture movement basic element models on basis of gesture recognition

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Embodiment Construction

[0025] The concrete implementation of the present invention is described in detail below, it is necessary to point out here that the following implementation is only used for further description of the present invention, and can not be interpreted as limiting the protection scope of the present invention. Some non-essential improvements and adjustments still belong to the protection scope of the present invention.

[0026] The invention provides a method for structuring a gesture motion primitive model based on gesture recognition, which includes the following steps in turn:

[0027] (1) Use a video or image acquisition device to acquire one or more gesture images with a resolution of N×M, preprocess one or more gesture images, extract the person images in one or more gesture images, and delete Background images other than those of people;

[0028] (2) Denoise the extracted character image to eliminate noise interference during transmission and acquisition, and then segment t...

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Abstract

The invention discloses a method for structuring gesture movement basic element models on the basis of gesture recognition. The method includes acquiring gesture images by the aid of video or image acquisition devices, preprocessing the gesture images and segmenting figure images according to contours, colors and textures to obtain contour images, color images and texture images; composing the processed contour images, the processed color images and the processed texture images and creating gesture image databases; building the gesture movement basic element models on the basis of the gesture images in the gesture image databases. The gesture movement basic element models are matched with the gesture images. The method for structuring the gesture movement basic element models on the basis of gesture recognition has the advantages that vivid and real pictures are created on the basis of the images of real persons, virtual person models are flexible and changeable, and gesture actions can be presented visually and vividly.

Description

technical field [0001] The invention relates to the field of gesture animation research, and more specifically relates to the research on the basic action unit of gesture animation and its structural description. Background technique [0002] Language-accompanied gesture synthesis is based on natural language understanding, using gestures as an auxiliary output method for the expression of virtual human language information. Existing gesture synthesis research mainly focuses on sign language animation synthesis based on the mapping of natural text Chinese words and sign language words, without considering language accompanying gestures, making virtual humans move mechanically like robots, which cannot meet the intelligence and nature of human-computer interaction. Interactivity requirements still need to be improved in terms of interactivity and realism. In the process of human-computer interaction, the study of language-accompanied gesture synthesis can provide solutions f...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
CPCG06V40/28G06V2201/10
Inventor 韩慧健刘峥梁秀霞贾可亮张锐其他发明人请求不公开姓名
Owner 韩慧健
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