Proceedings ArticleDOI
Cross-spectral cross-resolution video database for face recognition
Maneet Singh,Shruti Nagpal,Nikita Gupta,Sanchit Gupta,Soumyadeep Ghosh,Richa Singh,Mayank Vatsa +6 more
- pp 1-7
TLDR
It is asserted that this dataset can help researchers develop robust face recognition algorithms to handle real world surveillance scenarios and is presented to present baseline results with two commercial matchers for two experimental scenarios, where very low performance of both the matchers is observed.Abstract:
Advancing state of the art in face recognition and bridging the gap between laboratory and real-world scenarios require the availability of challenging databases. One of the challenging applications of face recognition is surveillance, where unconstrained video data is captured both in day and night time (visible and near infrared spectrum). These videos have multiple subjects in each frame, which are matched with good quality gallery images. Due to the lack of an existing database for such a cross spectral cross resolution video-to-still face recognition application, this is still an open research problem. This paper presents a video database that can be utilized to benchmark face recognition algorithms addressing cross spectral cross resolution matching. The proposed Cross-Spectral Cross-Resolution Video dataset (CSCRV) contains videos pertaining to 160 subjects with an open-set protocol. We present baseline results with two commercial matchers for two experimental scenarios, where we observe very low performance of both the matchers. It is our assertion that this dataset can help researchers develop robust face recognition algorithms to handle real world surveillance scenarios.read more
Citations
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Journal ArticleDOI
A survey on deep learning based face recognition
Guodong Guo,Guodong Guo,Na Zhang +2 more
TL;DR: Major deep learning concepts pertinent to face image analysis and face recognition are reviewed, and a concise overview of studies on specific face recognition problems is provided, such as handling variations in pose, age, illumination, expression, and heterogeneous face matching.
Journal ArticleDOI
Dictionary Alignment With Re-Ranking for Low-Resolution NIR-VIS Face Recognition
TL;DR: An orthogonal dictionary alignment approach for addressing the problem of near-infrared face recognition in surveillance scenarios by combining the rank list given by the proposed algorithm with that given by another complementary feature/algorithm.
Proceedings ArticleDOI
Demography-based facial retouching detection using subclass supervised sparse autoencoder
TL;DR: In this article, the authors introduce a new multi-demographic retouched faces (MDRF) dataset, which contains images belonging to two genders, male and female, and three ethnicities, Indian, Chinese and Caucasian.
Proceedings ArticleDOI
FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions
Sanchit Gupta,Nikita Gupta,Soumyadeep Ghosh,Maneet Singh,Shruti Nagpal,Mayank Vatsa,Richa Singh +6 more
TL;DR: The proposed FaceSurv database contains over 142K face images, spread across videos captured in both visible and near-infrared spectra, offering a plethora of challenges common to surveillance settings.
Posted Content
Face Recognition in Unconstrained Conditions: A Systematic Review.
TL;DR: This systematic review of face recognition covered 1,330 relevant studies, showing an increase of over 200% in research interest over the past 6 years, and demonstrated that deep learning methods are the prime focus of modern research due to improvements in hardware databases and increasing understanding of neural networks.
References
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Proceedings ArticleDOI
Face recognition in unconstrained videos with matched background similarity
Lior Wolf,Tal Hassner,Itay Maoz +2 more
TL;DR: A comprehensive database of labeled videos of faces in challenging, uncontrolled conditions, the ‘YouTube Faces’ database, along with benchmark, pair-matching tests are presented and a novel set-to-set similarity measure, the Matched Background Similarity (MBGS), is described.
Proceedings ArticleDOI
Forward-Backward Error: Automatic Detection of Tracking Failures
TL;DR: It is demonstrated that the proposed error enables reliable detection of tracking failures and selection of reliable trajectories in video sequences and is complementary to commonly used normalized cross-correlation (NCC).
Journal ArticleDOI
SCface --- surveillance cameras face database
TL;DR: A database of static images of human faces taken in uncontrolled indoor environment using five video surveillance cameras of various qualities to enable robust face recognition algorithms testing, emphasizing different law enforcement and surveillance use case scenarios is described.
Proceedings ArticleDOI
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition
TL;DR: An efficient patch-based face image quality assessment algorithm which quantifies the similarity of a face image to a probabilistic face model, representing an ‘ideal’ face is proposed.
Proceedings ArticleDOI
The CASIA NIR-VIS 2.0 Face Database
TL;DR: The composition of the database, evaluation protocols and baseline performance of PCA on the database are described and two interesting tricks, the facial symmetry and heterogeneous component analysis (HCA) are introduced to improve the performance.