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Face Morphing Attacks pose a threat to the security of identity documents, especially with respect to a subsequent access control process, because it enables both individuals involved to exploit the same document. In this study, face…

Computer Vision and Pattern Recognition · Computer Science 2024-10-21 Roman Kessler , Kiran Raja , Juan Tapia , Christoph Busch

Face image synthesis is gaining more attention in computer security due to concerns about its potential negative impacts, including those related to fake biometrics. Hence, building models that can detect the synthesized face images is an…

Computer Vision and Pattern Recognition · Computer Science 2024-01-10 Roberto Leyva , Victor Sanchez , Gregory Epiphaniou , Carsten Maple

Biometric face morphing poses a critical challenge to identity verification systems, undermining their security and robustness. To address this issue, we propose WaFusion, a novel framework combining wavelet decomposition and diffusion…

Graphics · Computer Science 2025-07-18 Seyed Rasoul Hosseini , Omid Ahmadieh , Jeremy Dawson , Nasser Nasrabadi

Although Generative Adversarial Networks (GANs) have made significant progress in face synthesis, there lacks enough understanding of what GANs have learned in the latent representation to map a random code to a photo-realistic image. In…

Computer Vision and Pattern Recognition · Computer Science 2020-10-30 Yujun Shen , Ceyuan Yang , Xiaoou Tang , Bolei Zhou

Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submissions, the detection whether a picture is fabricated or…

Computer Vision and Pattern Recognition · Computer Science 2020-02-11 Binrui Shen , Qiang Niu , Shengxin Zhu

Face aging is the task aiming to translate the faces in input images to designated ages. To simplify the problem, previous methods have limited themselves only able to produce discrete age groups, each of which consists of ten years.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-01 Seogkyu Jeon , Pilhyeon Lee , Kibeom Hong , Hyeran Byun

The widespread use of image acquisition technologies, along with advances in facial recognition, has raised serious privacy concerns. Face de-identification usually refers to the process of concealing or replacing personal identifiers,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Jingyi Cao , Xiangyi Chen , Bo Liu , Ming Ding , Rong Xie , Li Song , Zhu Li , Wenjun Zhang

Face anti-spoofing is crucial to security of face recognition systems. Previous approaches focus on developing discriminative models based on the features extracted from images, which may be still entangled between spoof patterns and real…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Ke-Yue Zhang , Taiping Yao , Jian Zhang , Ying Tai , Shouhong Ding , Jilin Li , Feiyue Huang , Haichuan Song , Lizhuang Ma

Face morphing attacks pose an increasing threat to face recognition (FR) systems. A morphed photo contains biometric information from two different subjects to take advantage of vulnerabilities in FRs. These systems are particularly…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Richard E. Neddo , Zander W. Blasingame , Chen Liu

Morphing Attack Detection (MAD) is a relevant topic that aims to detect attempts by unauthorised individuals to access a "valid" identity. One of the main scenarios is printing morphed images and submitting the respective print in a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Juan E. Tapia , Maximilian Russo , Christoph Busch

Attribute guided face image synthesis aims to manipulate attributes on a face image. Most existing methods for image-to-image translation can either perform a fixed translation between any two image domains using a single attribute or…

Computer Vision and Pattern Recognition · Computer Science 2019-05-02 Behzad Bozorgtabar , Mohammad Saeed Rad , Hazım Kemal Ekenel , Jean-Philippe Thiran

This work investigates the well-known problem of morphing attacks, which has drawn considerable attention in the biometrics community. Morphed images have exposed face recognition systems' susceptibility to false acceptance, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2021-06-17 Poorya Aghdaie , Baaria Chaudhary , Sobhan Soleymani , Jeremy Dawson , Nasser M. Nasrabadi

Detecting digital face manipulation has attracted extensive attention due to fake media's potential harms to the public. However, recent advances have been able to reduce the forgery signals to a low magnitude. Decomposition, which…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Xiangyu Zhu , Hao Wang , Hongyan Fei , Zhen Lei , Stan Z. Li

Face anti-spoofing is crucial for ensuring the security and reliability of face recognition systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect presentation attacks by estimating the noise pattern of a…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Bin Zhang , Xiangyu Zhu , Xiaoyu Zhang , Zhen Lei

Face morphing attacks pose a substantial risk to the reliability of face recognition systems used in passport issuance, border control, and digital identity verification. Detecting morphing attacks from a single facial image remains…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Raghavendra Ramachandra

Although existing face anti-spoofing (FAS) methods achieve high accuracy in intra-domain experiments, their effects drop severely in cross-domain scenarios because of poor generalization. Recently, multifarious techniques have been…

Computer Vision and Pattern Recognition · Computer Science 2022-01-03 Shice Liu , Shitao Lu , Hongyi Xu , Jing Yang , Shouhong Ding , Lizhuang Ma

Advances in image generation enable hyper-realistic synthetic faces but also pose risks, thus making synthetic face detection crucial. Previous research focuses on the general differences between generated images and real images, often…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Qingchao Jiang , Zhishuo Xu , Zhiying Zhu , Ning Chen , Haoyue Wang , Zhongjie Ba

We propose a method for constructing generative models of 3D objects from a single 3D mesh. Our method produces a 3D morphable model that represents shape and albedo in terms of Gaussian processes. We define the shape deformations in…

Computer Vision and Pattern Recognition · Computer Science 2021-10-04 Skylar Sutherland , Bernhard Egger , Joshua Tenenbaum

Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and society. In this…

Computer Vision and Pattern Recognition · Computer Science 2023-05-08 Jag Mohan Singh Sushma Venkatesh Raghavendra Ramachandra

Facial composites are graphical representations of an eyewitness's memory of a face. Many digital systems are available for the creation of such composites but are either unable to reproduce features unless previously designed or do not…

Computer Vision and Pattern Recognition · Computer Science 2019-12-12 Nicola Zaltron , Luisa Zurlo , Sebastian Risi