A Method for Segment Based Surface Reconstruction from Discrete Inclination Values

  • K. Nesenbergs Institute of Electronics and Computer Science
  • A. Hermanis Institute of Electronics and Computer Science
  • M. Greitans Institute of Electronics and Computer Science
Keywords: Reconstruction algorithms, shape measurement, sensor arrays, accelerometers, body sensor networks


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