IEICE TRANSACTIONS on Information
Robust Face Sketch Recognition Using Locality Sensitive Histograms
Summary :
This letter proposes a new face sketch recognition method. Given a query sketch and face photos in a database, the proposed method first synthesizes pseudo sketches by computing the locality sensitive histogram and dense illumination invariant features from the resized face photos, then extracts discriminative features by computing histogram of averaged oriented gradients on the query sketch and pseudo sketches, and finally find a match with the shortest cosine distance in the feature space. It achieves accuracy comparable to the state-of-the-art while showing much more robustness than the existing face sketch recognition methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E102-D No.2 pp.406-409
- Publication Date
- 2019/02/01
- Publicized
- 2018/10/29
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2018EDL8173
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Hanhoon PARK
Pukyong National University
Keyword
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Hanhoon PARK, "Robust Face Sketch Recognition Using Locality Sensitive Histograms" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 2, pp. 406-409, February 2019, doi: 10.1587/transinf.2018EDL8173.
Abstract: This letter proposes a new face sketch recognition method. Given a query sketch and face photos in a database, the proposed method first synthesizes pseudo sketches by computing the locality sensitive histogram and dense illumination invariant features from the resized face photos, then extracts discriminative features by computing histogram of averaged oriented gradients on the query sketch and pseudo sketches, and finally find a match with the shortest cosine distance in the feature space. It achieves accuracy comparable to the state-of-the-art while showing much more robustness than the existing face sketch recognition methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8173/_p
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@ARTICLE{e102-d_2_406,
author={Hanhoon PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Robust Face Sketch Recognition Using Locality Sensitive Histograms},
year={2019},
volume={E102-D},
number={2},
pages={406-409},
abstract={This letter proposes a new face sketch recognition method. Given a query sketch and face photos in a database, the proposed method first synthesizes pseudo sketches by computing the locality sensitive histogram and dense illumination invariant features from the resized face photos, then extracts discriminative features by computing histogram of averaged oriented gradients on the query sketch and pseudo sketches, and finally find a match with the shortest cosine distance in the feature space. It achieves accuracy comparable to the state-of-the-art while showing much more robustness than the existing face sketch recognition methods.},
keywords={},
doi={10.1587/transinf.2018EDL8173},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Robust Face Sketch Recognition Using Locality Sensitive Histograms
T2 - IEICE TRANSACTIONS on Information
SP - 406
EP - 409
AU - Hanhoon PARK
PY - 2019
DO - 10.1587/transinf.2018EDL8173
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2019
AB - This letter proposes a new face sketch recognition method. Given a query sketch and face photos in a database, the proposed method first synthesizes pseudo sketches by computing the locality sensitive histogram and dense illumination invariant features from the resized face photos, then extracts discriminative features by computing histogram of averaged oriented gradients on the query sketch and pseudo sketches, and finally find a match with the shortest cosine distance in the feature space. It achieves accuracy comparable to the state-of-the-art while showing much more robustness than the existing face sketch recognition methods.
ER -
English
