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Motion capture data key frame extracting method based on local linear imbedding

A local linear embedding and motion capture technology, applied in the field of image processing, can solve the problem of large error rate and achieve the effects of low error rate, good visual generalization, low error rate and compression ratio

Inactive Publication Date: 2014-11-19
DALIAN UNIV
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Problems solved by technology

However, these methods still have a large error rate under the condition of ensuring the compression ratio.

Method used

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  • Motion capture data key frame extracting method based on local linear imbedding
  • Motion capture data key frame extracting method based on local linear imbedding
  • Motion capture data key frame extracting method based on local linear imbedding

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Embodiment

[0043] Step 1: Select a representative movement from the CMU database, the 'kicking football' movement (the total number of frames is 801 frames). Using LLE to reduce the dimensionality of the 'kicking ball' movement, using Lowess smoothing filter, setting the corresponding parameters to denoise the characteristic curve, obtaining a one-dimensional characteristic curve and then extracting key frames.

[0044] Step 2: In MATLAB, find the local extremum points on the curve according to the curvature change of the characteristic curve, and obtain the initial key frame set. Such as image 3 shown.

[0045] Step 3: The final key frame extracted by the splitting algorithm based on the magnitude of the characteristic curve is as follows: Figure 4 shown. The local extremum points we extracted are represented by circles as initial keyframes, while asterisks represent final keyframes. Through the research, it is found that when the motion posture changes greatly, the corresponding ...

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Abstract

The invention discloses a motion capture data key frame extracting method based on local linear imbedding. The method comprises the following steps that firstly, dimensionality reduction is carried out on motion capture data based on the local linear imbedding method, noise is removed through smoothing filtering, and a one-dimensional characteristic curve reflecting the original motion is obtained; secondly, local extreme value points on the characteristic curve are extracted to obtain initial key frames; thirdly, a corresponding number of frames are inserted in the part between the initial key frames according to the characteristic curve amplitude difference value and the set threshold value, and a final key frame set is obtained. The dimensionality reduction is carried out on the motion capture data through the LLE algorithm, two times of key frame extraction are carried out according to the one-dimensional characteristic curve on which dimensionality reduction is carried out, it is emphasized to solve a section of motion sequence, a certain number of key motion postures can be automatically extracted, a good visual generality is made on the section of motion, and the error rate of the reconstructed motion sequence can be kept low.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for extracting key frames based on locally linearly embedded motion capture data. Background technique [0002] In recent decades, with the rise and development of motion capture technology and the advancement of equipment technology, a large amount of 3D human motion capture data has been generated and widely used in computer animation, movie special effects, medical simulation and games. Accompanied by a problem, due to the large size of the captured data, the size of the motion capture database is also very large, how to make full use of these existing motion capture data, and how to obtain the motion required by the user from the motion library. Key frame technology is an effective solution. Select the most important and critical frame in the motion as the key frame to represent the entire motion sequence. It has a better visual generalization for this motio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 张强董旭龙周东生魏小鹏
Owner DALIAN UNIV
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