ML Anthology

Restoring Occluded Regions Using FW-PCA for Face Recognition

Tomoki Hosoi, Sei Nagashima, Koji Kobayashi, Koichi Ito, Takafumi Aoki
CVPRW 2012 pp. 23-30
doi:10.1109/CVPRW.2012.6239211 /cvprw/2012/hosoi2012cvprw-restoring/

Abstract

Occlusions in face images such as eyeglasses, hairs and whiskers decrease the performance of face recognition algorithms. Addressing this problem, this paper proposes a method for restoring occluded regions in face images. The proposed method employs Fast Weighted Principal Component Analysis (FW-PCA), which computes PCA only with effective pixels. The use of FW-PCA makes it possible to detect and restore occluded regions in face images. Through a set of experiments using public face databases, we demonstrate the effectiveness of the proposed method compared with the conventional methods.

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Cite

Text

Hosoi et al. "Restoring Occluded Regions Using FW-PCA for Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2012. doi:10.1109/CVPRW.2012.6239211

Markdown

[Hosoi et al. "Restoring Occluded Regions Using FW-PCA for Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2012.](https://mlanthology.org/cvprw/2012/hosoi2012cvprw-restoring/) doi:10.1109/CVPRW.2012.6239211

BibTeX

@inproceedings{hosoi2012cvprw-restoring,
  title     = {{Restoring Occluded Regions Using FW-PCA for Face Recognition}},
  author    = {Hosoi, Tomoki and Nagashima, Sei and Kobayashi, Koji and Ito, Koichi and Aoki, Takafumi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2012},
  pages     = {23-30},
  doi       = {10.1109/CVPRW.2012.6239211},
  url       = {https://mlanthology.org/cvprw/2012/hosoi2012cvprw-restoring/}
}