Deep feature representation for face sketch recognition

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Face sketch recognition aims at matching face sketch images to face photo images. The main challenge lies in modality discrepancy between face photo and sketch images. In this work, we propose a new facial sketch-to-photo recognition approach by adopting VGG-Face deep learning network, with which face images can be represented by compact and highly discriminative feature vectors. Different from existing VGG-Face based methods which directly match face sketches to photos, we firstly transform the gallery photos to sketches for decreasing the modality difference. Experimental results on multiple face photo-sketch datasets indicate the superiority of our method.

Cite

CITATION STYLE

APA

Wan, W., & Lee, H. J. (2019). Deep feature representation for face sketch recognition. Advances in Science, Technology and Engineering Systems, 4(2), 107–111. https://doi.org/10.25046/aj040214

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free