Building and Using Flexible Models Incorporating Grey-Level Information
Abstract
This paper describes a technique for building compact models of the shape and appearance of flexible objects seen in 2-D images. The models are derived from the statistics of sets of labelled images of example objects. Each model consists of a flexible shape template, describing how important points of the object can vary, and a statistical model of the expected grey levels in regions around each model point. Such models have proved useful in a wide variety of applications. We describe how the models can be used in local image search and give examples of their application.
Cite
Text
Cootes et al. "Building and Using Flexible Models Incorporating Grey-Level Information." IEEE/CVF International Conference on Computer Vision, 1993. doi:10.1109/ICCV.1993.378212Markdown
[Cootes et al. "Building and Using Flexible Models Incorporating Grey-Level Information." IEEE/CVF International Conference on Computer Vision, 1993.](https://mlanthology.org/iccv/1993/cootes1993iccv-building/) doi:10.1109/ICCV.1993.378212BibTeX
@inproceedings{cootes1993iccv-building,
title = {{Building and Using Flexible Models Incorporating Grey-Level Information}},
author = {Cootes, Timothy F. and Taylor, Christopher J. and Lanitis, Andreas and Cooper, David H. and Graham, Jim},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1993},
pages = {242-246},
doi = {10.1109/ICCV.1993.378212},
url = {https://mlanthology.org/iccv/1993/cootes1993iccv-building/}
}