Image Collection Pop-up: 3D Reconstruction and Clustering of Rigid and Non-rigid Categories

@article{Agudo2018ImageCP,
  title={Image Collection Pop-up: 3D Reconstruction and Clustering of Rigid and Non-rigid Categories},
  author={Antonio Agudo and Melcior Pijoan and Francesc Moreno-Noguer},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={2607-2615}
}
This paper introduces an approach to simultaneously estimate 3D shape, camera pose, and object and type of deformation clustering, from partial 2D annotations in a multi-instance collection of images. Furthermore, we can indistinctly process rigid and non-rigid categories. This advances existing work, which only addresses the problem for one single object or, if multiple objects are considered, they are assumed to be clustered a priori. To handle this broader version of the problem, we model… CONTINUE READING

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