A Method for Segment Based Surface Reconstruction from Discrete Inclination Values

Authors

  • K. Nesenbergs Institute of Electronics and Computer Science
  • A. Hermanis Institute of Electronics and Computer Science
  • M. Greitans Institute of Electronics and Computer Science

DOI:

https://doi.org/10.5755/j01.eee.20.2.6380

Keywords:

Reconstruction algorithms, shape measurement, sensor arrays, accelerometers, body sensor networks

Abstract

Object orientation tracking in local reference frame can serve as a useful tool in fields such as surface shape recognition. Often measurement methods provide incomplete data about object orientation. In this paper a method is proposed for selection of surface segment direction when only inclination levels of each segment are known. Method is applicable in cases when some additional constraints can be applied to the surface, such as limited flexion and segment layout. During surface model approximation a specially adapted exhaustive search algorithm is used to find the most appropriate segment direction angle to satisfy physical constraints of the surface. This method proved to significantly increase approximation precision of non-trivial surfaces.

DOI: http://dx.doi.org/10.5755/j01.eee.20.2.6380

Downloads

Published

2014-02-05

How to Cite

Nesenbergs, K., Hermanis, A., & Greitans, M. (2014). A Method for Segment Based Surface Reconstruction from Discrete Inclination Values. Elektronika Ir Elektrotechnika, 20(2), 32-35. https://doi.org/10.5755/j01.eee.20.2.6380

Issue

Vol. 20 No. 2 (2014)

Section

ELECTRONIC MEASUREMENTS

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.