English

Reconstructing Small 3D Objects in front of a Textured Background

Computer Vision and Pattern Recognition 2021-05-25 v1

Abstract

We present a technique for a complete 3D reconstruction of small objects moving in front of a textured background. It is a particular variation of multibody structure from motion, which specializes to two objects only. The scene is captured in several static configurations between which the relative pose of the two objects may change. We reconstruct every static configuration individually and segment the points locally by finding multiple poses of cameras that capture the scene's other configurations. Then, the local segmentation results are combined, and the reconstructions are merged into the resulting model of the scene. In experiments with real artifacts, we show that our approach has practical advantages when reconstructing 3D objects from all sides. In this setting, our method outperforms the state-of-the-art. We integrate our method into the state of the art 3D reconstruction pipeline COLMAP.

Keywords

Cite

@article{arxiv.2105.11352,
  title  = {Reconstructing Small 3D Objects in front of a Textured Background},
  author = {Petr Hruby and Tomas Pajdla},
  journal= {arXiv preprint arXiv:2105.11352},
  year   = {2021}
}

Comments

36 pages total: 11 pages paper and 25 pages supplementary

R2 v1 2026-06-24T02:24:39.463Z