3D pose estimation via elliptical fourier descriptors for deformable hand representations

Ahmadreza Rezaei, Mansur Vafadoost, Sadegh Rezaei, Ayoub Daliri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Pose and Gesture tracking is a sensitive procedure in different computer vision applications. One of the problems concerning Sign Language recognition is that the 3-D trajectory and the orientation could not be carefully detected. This paper analyses the aforementioned problem from a sequence of stereo images. In this paper, we present an effective algorithm for the estimation of the 3-D trajectory and orientation of a signer's hand. The so-called algorithm utilizes two different procedures in order to extract the 3-D motion model Point Correspondence and 3-D motion estimation. Many papers which deal with this kind of problem assume that an accurate match between the feature points has been made, and so, deal with only the 3-D motion estimation problem. The registration of the feature points are done by means of Elliptical Fourier representations of a closed curve. After the registrations of feature points are completed, the hand's 3-D trajectory and orientation could be easily computed using a single-stage linear method. This method is applied to both synthetic and real image sequences and the results are shown.

Original languageEnglish (US)
Title of host publication2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
PublisherIEEE Computer Society
Pages1871-1875
Number of pages5
ISBN (Print)9781424417483
DOIs
StatePublished - Jan 1 2008
Externally publishedYes
Event2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 - Shanghai, China
Duration: May 16 2008May 18 2008

Publication series

Name2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Other

Other2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
CountryChina
CityShanghai
Period5/16/085/18/08

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Keywords

  • 3-D orientation
  • Motion estimation
  • Point correspondence
  • Pose estimation
  • Sign

ASJC Scopus subject areas

  • Biotechnology
  • Biomedical Engineering

Cite this

Rezaei, A., Vafadoost, M., Rezaei, S., & Daliri, A. (2008). 3D pose estimation via elliptical fourier descriptors for deformable hand representations. In 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 (pp. 1871-1875). [4535677] (2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008). IEEE Computer Society. https://doi.org/10.1109/ICBBE.2008.797