Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration

@article{Bartoli2013TemplateBasedID,
  title={Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration},
  author={Adrien Bartoli and Toby Collins},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={1514-1521}
}
It has been shown that a surface deforming isometric ally can be reconstructed from a single image and a template 3D shape. Methods from the literature solve this problem efficiently. However, they all assume that the camera model is calibrated, which drastically limits their applicability. We propose (i) a general variational framework that applies to (calibrated and uncalibrated) general camera models and (ii) self-calibrating 3D reconstruction algorithms for the weak-perspective and full… CONTINUE READING
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