Adaptive Shape Evolution Using Blending
Abstract
We propose a shape representation scheme which allows two shapes to be combined into a single model. The desired regions of the two shapes are selected, and then merged together forming a blended shape. For reconstruction, blending is incorporated into a deformable model framework. The model automatically adapts to the data, blending when necessary. Hierarchical blending allows multiple blends of a shape to occur forming an evolution from the initial shape of a sphere to the final shape. Blending also allows the insertion of a hole between arbitrary locations. The models used are globally defined, making the recovered shape a natural symbolic description. We present reconstruction experiments involving shapes of various topologies.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
DeCarlo and Metaxas. "Adaptive Shape Evolution Using Blending." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466851Markdown
[DeCarlo and Metaxas. "Adaptive Shape Evolution Using Blending." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/decarlo1995iccv-adaptive/) doi:10.1109/ICCV.1995.466851BibTeX
@inproceedings{decarlo1995iccv-adaptive,
title = {{Adaptive Shape Evolution Using Blending}},
author = {DeCarlo, Douglas and Metaxas, Dimitris N.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1995},
pages = {834-839},
doi = {10.1109/ICCV.1995.466851},
url = {https://mlanthology.org/iccv/1995/decarlo1995iccv-adaptive/}
}