Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation
Abstract
Matching a face sketch against mug shots, which plays an important role in law enforcement and security, is an interesting and challenging topic in face recognition community. Although great progress has been made in recent years, main focus is the face recognition based on SINGLE sketch in existing studies. In this paper, we present a fundamental study of face recognition from multiple stylistic sketches. Three specific scenarios with corresponding datasets are carefully introduced to mimic real-world situations: (1) recognition from multiple hand-drawn sketches; (2) recognition from hand-drawn sketch and composite sketches; (3) recognition from multiple composite sketches. We further provide the evaluation protocols and several benchmarks on these proposed scenarios. Finally, we discuss the plenty of challenges and possible future directions that worth to be further investigated. All the materials will be publicly available online (Available at http://chunleipeng.com/FRMSketches.html .) for comparisons and further study of this problem.
Cite
Text
Peng et al. "Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation." European Conference on Computer Vision, 2016. doi:10.1007/978-3-319-46604-0_1Markdown
[Peng et al. "Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation." European Conference on Computer Vision, 2016.](https://mlanthology.org/eccv/2016/peng2016eccv-face/) doi:10.1007/978-3-319-46604-0_1BibTeX
@inproceedings{peng2016eccv-face,
title = {{Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation}},
author = {Peng, Chunlei and Wang, Nannan and Gao, Xinbo and Li, Jie},
booktitle = {European Conference on Computer Vision},
year = {2016},
pages = {3-18},
doi = {10.1007/978-3-319-46604-0_1},
url = {https://mlanthology.org/eccv/2016/peng2016eccv-face/}
}