Robust Face Sketch Recognition Using Locality Sensitive Histograms

Hanhoon PARK  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.2   pp.406-409
Publication Date: 2019/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8173
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
face sketch recognition,  photo-sketch matching,  locality sensitive histogram,  histogram of averaged oriented gradients,  

Full Text: PDF(2.4MB)
>>Buy this Article


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.