A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing

Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

119 Citations (Scopus)

Abstract

Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmark datasets in recent years. However, existing face anti-spoofing benchmarks have limited number of subjects (≤170) and modalities (≤2), which hinder the further development of the academic community. To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and visual modalities. Specifically, it consists of 1,000 subjects with 21,000 videos and each sample has 3 modalities (i.e., RGB, Depth and IR). We also provide a measurement set, evaluation protocol and training/validation/testing subsets, developing a new benchmark for face anti-spoofing. Moreover, we present a new multi-modal fusion method as baseline, which performs feature re-weighting to select the more informative channel features while suppressing the less useful ones for each modal. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability. The dataset is available at https://sites.google.com/qq.com/chalearnfacespoofingattackdete/.
Original languageEnglish
Title of host publication2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Number of pages10
PublisherIEEE Communications Society
Publication date20 Jun 2019
Pages919-928
Article number8953793
ISBN (Print)978-1-7281-3294-5
DOIs
Publication statusPublished - 20 Jun 2019
Externally publishedYes
Event2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - Long Beach, CA, USA
Duration: 15 Jun 201920 Jun 2019

Conference

Conference2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
LocationLong Beach, CA, USA
Period15/06/201920/06/2019

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