ICCV 2017 Papers

International Conference on Computer Vision

Decision breakdown

621papers

Counted from the official paper list; may differ slightly from the number the conference announced.

  • Oral
    457.2%
  • Spotlight
    569.0%
  • Poster
    52083.7%

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"Maximizing Rigidity" Revisited: A Convex Programming Approach for Generic 3D Shape Reconstruction From Multiple Perspective Views

Pan Ji, Hongdong Li, Yuchao Dai, Ian Reid

Expand abstract

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 formulate these problems as a convex semi-definite program, imposing constraints that seek to apply the principle of minimizing non-rigidity. Our results demonstrate the efficacy of the approach, with state-of-the-art accuracy on various 3D reconstruction problems.

Poster