ML Anthology

A Compute-Efficient Algorithm for Robust Eyebrow Detection

Supriya Sathyanarayana, Ravi Kumar Satzoda, Suchitra Sathyanarayana, Thambipillai Srikanthan
CVPRW 2014 pp. 664-669
doi:10.1109/CVPRW.2014.101 /cvprw/2014/sathyanarayana2014cvprw-computeefficient/

Abstract

Detection of facial landmark features is an initial step in facial expression recognition. Detection of eyebrows can aid the detection of the remaining facial features as eyebrows are relatively more stable across changing facial expressions. Existing eyebrow detection algorithms in literature involve complex computations and are not suitable for direct porting on to embedded platforms. In this paper, a compute-efficient eyebrow detection algorithm has been proposed and tested on three standard databases with an average detection rate of 96%. The method has also been shown to be computationally less complex compared to the state of the art.

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Cite

Text

Sathyanarayana et al. "A Compute-Efficient Algorithm for Robust Eyebrow Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014. doi:10.1109/CVPRW.2014.101

Markdown

[Sathyanarayana et al. "A Compute-Efficient Algorithm for Robust Eyebrow Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014.](https://mlanthology.org/cvprw/2014/sathyanarayana2014cvprw-computeefficient/) doi:10.1109/CVPRW.2014.101

BibTeX

@inproceedings{sathyanarayana2014cvprw-computeefficient,
  title     = {{A Compute-Efficient Algorithm for Robust Eyebrow Detection}},
  author    = {Sathyanarayana, Supriya and Satzoda, Ravi Kumar and Sathyanarayana, Suchitra and Srikanthan, Thambipillai},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2014},
  pages     = {664-669},
  doi       = {10.1109/CVPRW.2014.101},
  url       = {https://mlanthology.org/cvprw/2014/sathyanarayana2014cvprw-computeefficient/}
}