Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models

@article{Xu2015Deformable3F,
  title={Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models},
  author={WeiPeng Xu and Mathieu Salzmann and Yongtian Wang and Yue Liu},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={2183-2191}
}
Capturing the 3D motion of dynamic, non-rigid objects has attracted significant attention in computer vision. Existing methods typically require either complete 3D volumetric observations, or a shape template. In this paper, we introduce a template-less 4D reconstruction method that incrementally fuses highly-incomplete 3D observations of a deforming object, and generates a complete, temporally-coherent shape representation of the object. To this end, we design an online algorithm that… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 42 references

Point Set Registration: Coherent Point Drift

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2010
View 14 Excerpts
Highly Influenced

Laplacian Surface Editing

Symposium on Geometry Processing • 2004
View 4 Excerpts
Highly Influenced

Modeling deformable objects from a single depth camera

2009 IEEE 12th International Conference on Computer Vision • 2009
View 4 Excerpts
Highly Influenced

DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 2 Excerpts

Quality Dynamic Human Body Modeling Using a Single Low-Cost Depth Camera

2014 IEEE Conference on Computer Vision and Pattern Recognition • 2014
View 1 Excerpt

3D self-portraits

ACM Trans. Graph. • 2013
View 2 Excerpts

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