A coordinate transformation system based on the human feature information

Shih Ming Chang, Joseph Tsai, Timothy K. Shih, Hui Huang Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


In this paper, we propose a method to find feature in human object that used SURF algorithm, and use this information into 3D coordinate that use coordinate system transformation. In our method, first we use thinning algorithm to obtained skeleton of object, and find the endpoints in skeleton. In the second step, we try to use those endpoints to cluster skeleton, and the part number of cluster is six. Then, to cluster human object that use cluster skeleton result. Third, we use SURF algorithm to find the feature in each part in the cluster object image. In this step, we also use SAD method to ensure are correct of feature points that after SURF algorithm treatment. Finally we use the coordinate system transformation method. In this step, we use image coordinate system into world coordinate system, and show those result in our experiments result.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Proceedings
Number of pages11
EditionPART 1
StatePublished - 2011
Event17th Multimedia Modeling Conference, MMM 2011 - Taipei, Taiwan
Duration: 5 Jan 20117 Jan 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6523 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th Multimedia Modeling Conference, MMM 2011


  • SURF
  • feature points match
  • object skeleton


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