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20132023
most citedA survey of face recognition techniques under occlusion

22 citations · 44 across the 8 of their papers we have counts for

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Showing cs.CVShow all

8 papers · 1 filter

cs.CV2023

3D printed realistic finger vein phantoms

Luuk Spreeuwers, Rasmus van der Grift, Pesigrihastamadya Normakristagaluh

Finger vein pattern recognition is an emerging biometric with a good resistance to presentation attacks and low error rates. One problem is that it is hard to obtain ground truth f…

cs.CV2023★ 1 cited

Vulnerability of 3D Face Recognition Systems to Morphing Attacks

Sanjeet Vardam, Luuk Spreeuwers

In recent years face recognition systems have been brought to the mainstream due to development in hardware and software. Consistent efforts are being made to make them better and…

cs.CV2021

Worst-Case Morphs: a Theoretical and a Practical Approach

Una M. Kelly, Raymond Veldhuis, Luuk Spreeuwers

Face Recognition (FR) systems have been shown to be vulnerable to morphing attacks. We examine exactly how challenging morphs can become. By showing a worst-case construction in th…

cs.CV2020★ 22 cited

A survey of face recognition techniques under occlusion

Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers

The limited capacity to recognize faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even for humans. The problem r…

cs.CV2020★ 8 cited

Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking

Kiran Raja, Matteo Ferrara, Annalisa Franco +18

Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as indep…

cs.CV2019★ 1 cited

A Layer-Based Sequential Framework for Scene Generation with GANs

Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers +1

The visual world we sense, interpret and interact everyday is a complex composition of interleaved physical entities. Therefore, it is a very challenging task to generate vivid sce…

cs.CV2015★ 9 cited

Predicting Face Recognition Performance Using Image Quality

Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers

This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality fea…

cs.CV2013★ 3 cited

Can Facial Uniqueness be Inferred from Impostor Scores?

Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers

In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of i…