A hybrid approach to keyframe extraction from motion capture data using curve simplification and principal component analysis

7Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we propose a novel method to extract keyframes from motion capture data. A hybrid approach, which combines a curve-simplification algorithm with an initialization procedure including principal component analysis, is adopted. The developed method automatically extracts an appropriate number of keyframes at high speed without performance degradation. Experimental results prove the effectiveness of the present method.

References Powered by Scopus

Optimization-based key frame extraction for motion capture animation

34Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Optimal and interactive keyframe selection for motion capture

11Citations
N/AReaders
Get full text

Human motion capture data retrieval based on semantic thumbnail

6Citations
N/AReaders
Get full text

Keyframe extraction for motion capture data via pose saliency and reconstruction error

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Miura, T., Kaiga, T., Shibata, T., Katsura, H., Tajima, K., & Tamamoto, H. (2014, November 1). A hybrid approach to keyframe extraction from motion capture data using curve simplification and principal component analysis. IEEJ Transactions on Electrical and Electronic Engineering. John Wiley and Sons Inc. https://doi.org/10.1002/tee.22029

Readers over time

‘16‘19‘20‘2400.511.52

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

75%

Professor / Associate Prof. 1

25%

Readers' Discipline

Tooltip

Computer Science 2

50%

Mathematics 1

25%

Psychology 1

25%

Save time finding and organizing research with Mendeley

Sign up for free
0