Shape Adaptation for Modelling of 3D Objects in Natural Scenes

Abstract

Rigid 3D objects were modelled automatically from an image sequence taken by a camera that was rotated around the object. The image sequence was recorded using a calibrated camera which allows one to measure the camera positions and to estimate the true object size. The 3D object shape was obtained in two steps. The object silhouettes were employed to find the enclosing volume of the object. The volume was converted into a flexible surface representation and the 3D shape was refined based on the texture information of the object surface. Texture mapping was applied to generate a highly realistic 3D model of the object.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Liedtke et al. "Shape Adaptation for Modelling of 3D Objects in Natural Scenes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139790

Markdown

[Liedtke et al. "Shape Adaptation for Modelling of 3D Objects in Natural Scenes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/liedtke1991cvpr-shape/) doi:10.1109/CVPR.1991.139790

BibTeX

@inproceedings{liedtke1991cvpr-shape,
  title     = {{Shape Adaptation for Modelling of 3D Objects in Natural Scenes}},
  author    = {Liedtke, Claus-E. and Busch, Hans and Koch, Reinhard},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {704-705},
  doi       = {10.1109/CVPR.1991.139790},
  url       = {https://mlanthology.org/cvpr/1991/liedtke1991cvpr-shape/}
}