Improved Isomap Algorithm for Motion Analysis

DOI

10.2991/iske.2007.160How to use a DOI?

Keywords

Nonlinear dimensionality reduction, Isomap, Motion analysis

Abstract

Euclidean distance, Hausdorff distance and SSP distance are discussed, and SSP distance is used for improved Isomap algorithm. Two methods are put forward for improving Isomap algorithm. One is aligning input data of original Isomap algorithm, the other is modifying Isomap algorithm itself. SSP distance is used to search neighbors and compose neighborhood graph, and the plot for each dimension of Isomap representation is used for visualization of Isomap representation. Motion analysis experiments results show, improved Isomap algorithm is better than original Isomap algorithm for translated data and obtains better visualization results of Isomap representation.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Honggui Li
AU  - Xingguo Li
PY  - 2007/10
DA  - 2007/10
TI  - Improved Isomap Algorithm for Motion Analysis
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 943
EP  - 947
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.160
DO  - 10.2991/iske.2007.160
ID  - Li2007/10
ER  -