Robust Face Sketch Recognition Using Locality Sensitive Histograms

Abstract

Hanhoon PARK †a) , Member 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. key words: face sketch recognition, photo-sketch matching, locality sensitive histogram, histogram of averaged oriented gradients * * For this, we did not modify the methods that were originally developed for visual tracking, and used the source code and the default parameters provided by the authors [11].