ML Anthology

Blended Deformable Models

Douglas DeCarlo, Dimitris N. Metaxas
CVPR 1994 pp. 566-572
doi:10.1109/CVPR.1994.323883 /cvpr/1994/decarlo1994cvpr-blended/

Abstract

We develop a new class of parameterized models based on the linear interpolation of two parameterized shapes using a blending function. Using a small number of additional parameters, blending extends the coverage of shape primitives. In particular, it offers the ability to construct shapes whose genus can change. Blended models are incorporated into a physics-based shape estimation framework which uses dynamic deformable models with global and local deformations. We present experiments involving the extraction of complex shapes, including an example of dynamic genus change.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Text

DeCarlo and Metaxas. "Blended Deformable Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323883

Markdown

[DeCarlo and Metaxas. "Blended Deformable Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/decarlo1994cvpr-blended/) doi:10.1109/CVPR.1994.323883

BibTeX

@inproceedings{decarlo1994cvpr-blended,
  title     = {{Blended Deformable Models}},
  author    = {DeCarlo, Douglas and Metaxas, Dimitris N.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {566-572},
  doi       = {10.1109/CVPR.1994.323883},
  url       = {https://mlanthology.org/cvpr/1994/decarlo1994cvpr-blended/}
}