“Maximizing Rigidity” Revisited: A Convex Programming Approach for Generic 3D Shape Reconstruction from Multiple Perspective Views

@article{Ji2017MaximizingRR,
  title={“Maximizing Rigidity” Revisited: A Convex Programming Approach for Generic 3D Shape Reconstruction from Multiple Perspective Views},
  author={Pan Ji and Hongdong Li and Yuchao Dai and Ian D. Reid},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={929-937}
}
  • Pan Ji, Hongdong Li, I. Reid
  • Published 17 July 2017
  • Mathematics
  • 2017 IEEE International Conference on Computer Vision (ICCV)
Rigid structure-from-motion (RSfM) and non-rigid structure-from-motion (NRSfM) have long been treated in the literature as separate (different) problems. Inspired by a previous work which solved directly for 3D scene structure by factoring the relative camera poses out, we revisit the principle of “maximizing rigidity” in structure-from-motion literature, and develop a unified theory which is applicable to both rigid and non-rigid structure reconstruction in a rigidity-agnostic way. We… 

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