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We propose a new approach for editing face images, which enables numerous exciting applications including face relighting, makeup transfer and face detail editing. Our face edits are based on a visual representation, which includes…

Computer Vision and Pattern Recognition · Computer Science 2016-12-05 Jiajun Lu , Kalyan Sunkavalli , Nathan Carr , Sunil Hadap , David Forsyth

Advances in computer vision have brought us to the point where we have the ability to synthesise realistic fake content. Such approaches are seen as a source of disinformation and mistrust, and pose serious concerns to governments around…

Computer Vision and Pattern Recognition · Computer Science 2019-11-20 Tharindu Fernando , Clinton Fookes , Simon Denman , Sridha Sridharan

The increase in security concerns due to technological advancements has led to the popularity of biometric approaches that utilize physiological or behavioral characteristics for enhanced recognition. Face recognition systems (FRSs) have…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Joana Pimenta , Iurii Medvedev , Nuno Gonçalves

Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of these algorithms against attacks and bias has been…

Computer Vision and Pattern Recognition · Computer Science 2020-02-10 Richa Singh , Akshay Agarwal , Maneet Singh , Shruti Nagpal , Mayank Vatsa

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

Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from presentation attacks. Most existing FAS methods capture various cues (e.g., texture, depth and reflection) to distinguish the live faces from the…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Zitong Yu , Xiaobai Li , Xuesong Niu , Jingang Shi , Guoying Zhao

The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using synthetic data is to solve the shortage of…

Computer Vision and Pattern Recognition · Computer Science 2022-08-18 Marcel Grimmer , Haoyu Zhang , Raghavendra Ramachandra , Kiran Raja , Christoph Busch

We assess the vulnerabilities of deep face recognition systems for images that falsify/spoof multiple identities simultaneously. We demonstrate that, by manipulating the deep feature representation extracted from a face image via…

Computer Vision and Pattern Recognition · Computer Science 2021-10-05 Takuma Amada , Seng Pei Liew , Kazuya Kakizaki , Toshinori Araki

Imaging is a sophisticated process combining a plenty of photovoltaic conversions, which lead to some spectral signatures beyond visual perception in the final images. Any manipulation against an original image will destroy these signatures…

Computer Vision and Pattern Recognition · Computer Science 2020-04-10 Zhe Shen , Peng Sun , Yubo Lang , Lei Liu , Silong Peng

We propose to use morphing algorithms to deduce some approximate wave pictures of scattering by cylindrical invisibility cloaks of various shapes deduced from the exact computation (e.g. using a finite element method) of scattering by…

Computational Physics · Physics 2015-06-22 Ronald Aznavourian , Sébastien Guenneau

Concern regarding the wide-spread use of fraudulent images/videos in social media necessitates precise detection of such fraud. The importance of facial expressions in communication is widely known, and adversarial attacks often focus on…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Ghazal Mazaheri , Amit K. Roy-Chowdhury

Since images are used as evidence in many cases, validation of digital images is essential. Copy-move forgery is a special kind of manipulation in which some parts of an image is copied and pasted into another part of the same image.…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Saba Salehi , Ahmad Mahmoodi-Aznaveh

The advent of morphing attacks has posed significant security concerns for automated Face Recognition systems, raising the pressing need for robust and effective Morphing Attack Detection (MAD) methods able to effectively address this…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 Nicolò Di Domenico , Guido Borghi , Annalisa Franco , Davide Maltoni

Semantic face image manipulation has received increasing attention in recent years. StyleGAN-based approaches to face morphing are among the leading techniques; however, they often suffer from noticeable blurring and artifacts as a result…

Computer Vision and Pattern Recognition · Computer Science 2023-02-21 Na Zhang , Xudong Liu , Xin Li , Guo-Jun Qi

A biometric recognition system can operate in two distinct modes: identification or verification. In the first mode, the system recognizes an individual by searching the enrolled templates of all the users for a match. In the second mode,…

Cryptography and Security · Computer Science 2024-02-22 Axel Durbet , Paul-Marie Grollemund , Kevin Thiry-Atighehchi

The growing use of control access systems based on face recognition shed light over the need for even more accurate systems to detect face spoofing attacks. In this paper, an extensive analysis on face spoofing detection works published in…

Computer Vision and Pattern Recognition · Computer Science 2018-10-02 Luiz Souza , Mauricio Pamplona , Luciano Oliveira , João Papa

With the headway of the advanced image handling software and altering tools, a computerized picture can be effectively controlled. The identification of image manipulation is vital in light of the fact that an image can be utilized as…

Multimedia · Computer Science 2017-03-31 Abhishek Kashyap , Rajesh Singh Parmar , Megha Agrawal , Hariom Gupta

Detecting reliably copy-move forgeries is difficult because images do contain similar objects. The question is: how to discard natural image self-similarities while still detecting copy-moved parts as being "unnaturally similar"? Copy-move…

Computer Vision and Pattern Recognition · Computer Science 2019-06-04 Thibaud Ehret

Facial retouching to beautify images is widely spread in social media, advertisements, and it is even applied in professional photo studios to let individuals appear younger, remove wrinkles and skin impurities. Generally speaking, this is…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Philipp Srock , Juan E. Tapia , Christoph Busch

This paper investigates the feasibility of a proactive DeepFake defense framework, {\em FacePosion}, to prevent individuals from becoming victims of DeepFake videos by sabotaging face detection. The motivation stems from the reliance of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Delong Zhu , Yuezun Li , Baoyuan Wu , Jiaran Zhou , Zhibo Wang , Siwei Lyu