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Human body animation key frame extraction method based on gesture saliency

A technology of human animation and extraction method, which is applied in the field of image processing, and can solve the problems of inconvenient use for users and the inability to adaptively provide the number of key frames, etc.

Active Publication Date: 2019-01-11
NANCHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, most of the existing key frame extraction methods cannot adaptively give the number of key frames to be extracted, and need to manually set various thresholds that are difficult to determine, which causes inconvenience to users.

Method used

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  • Human body animation key frame extraction method based on gesture saliency
  • Human body animation key frame extraction method based on gesture saliency
  • Human body animation key frame extraction method based on gesture saliency

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Embodiment Construction

[0042] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. figure 1 Be flow chart of the present invention, its concrete implementation comprises the following steps:

[0043] S1: Filter feature components. According to the variance, some motion components are selected as the feature components of human motion, and the weights of the feature components are calculated. The implementation steps are as follows:

[0044] From the human skeleton model, 8 joints including wrist joint, elbow joint, ankle joint and knee joint of limbs, 2 joints of hip joint and thoracic joint of trunk and 1 joint of head are selected as the motion feature representation. Compute the variance ar(c i ), i=1...62, choose The motion component of is the feature component, and its weight is calculated

[0045] S2: Compute pose saliency. Calculate the multi-scale saliency of feature components, weighted and fitted int...

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Abstract

The invention discloses a human body animation key frame extraction method based on gesture saliency, which comprises the following steps: screening part of motion components as human body motion characteristic components according to variance; calculating the multiscale significance of feature components and the posture significance of weighted fitting human animation; extracting the local maximum points of the posture saliency curve as initial key frames, and determining the number of key frames according to the ratio of the optimal reconstruction error to the number of key frames; accordingto the number of key frames, selecting the initial key frames with large reconstruction error as candidate key frames, and extracting the frames with minimum reconstruction error from the neighborhood of candidate key frames by using reconstruction error optimization algorithm as final key frames. The method can self-adaptively determine the optimal number of key frames, extract key frames with minimum reconstruction error, and meet the needs of real-time compression of motion capture data.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for extracting key frames of human animation based on gesture salience. Background technique [0002] Keyframe refers to the partial pose sequence in the human animation sequence that can best represent the animation content, and it provides an important basis for the compression, retrieval, preview and reuse of motion capture data. Equal interval sampling can be regarded as a simple key frame extraction method, but its essence is equivalent to reducing the sampling frequency of motion capture, and there are data redundancy when the motion is slow and loss of details when the motion is severe. To overcome this problem, researchers have proposed many adaptive keyframe extraction methods, which can be roughly divided into methods based on curve simplification, methods based on clustering and methods based on optimization. [0003] The method based on curve simpli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/10G06V40/20G06V20/46
Inventor 刘云根张俊
Owner NANCHANG UNIV
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