Mapping a Lifelike 2.5 D Human Face via an Automatic Approach

Abstract

An automatic approach used for making a human face model is proposed. It is a system with input forms of a 2.5D range data set and a 2D color image. The information obtained from the range data set includes the anatomical sites of features and the geometrical data of face. The information extracted from the 2D color image includes the boundaries of facial features and the attributes of facial textures. These two sources are integrated to form a volumetric facial model.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Kang et al. "Mapping a Lifelike 2.5 D Human Face via an Automatic Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341061

Markdown

[Kang et al. "Mapping a Lifelike 2.5 D Human Face via an Automatic Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/kang1993cvpr-mapping/) doi:10.1109/CVPR.1993.341061

BibTeX

@inproceedings{kang1993cvpr-mapping,
  title     = {{Mapping a Lifelike 2.5 D Human Face via an Automatic Approach}},
  author    = {Kang, Chii-Yuan and Chen, Yung-Sheng and Hsu, Wen-Hsing},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {611-612},
  doi       = {10.1109/CVPR.1993.341061},
  url       = {https://mlanthology.org/cvpr/1993/kang1993cvpr-mapping/}
}