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Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder
[article]
2017
arXiv
pre-print
Preserved Fulltext
Further, retouched images are created using two different retouching software packages. ...
The proposed approach outperforms existing state-of-the-art detection algorithms for the task of generalized retouching detection. ...
Another deep learning framework used for comparison is the facial retouching detection algorithm using Supervised Deep Boltzmann Machine (SDBM) and SVM by Bharati et al. [13] . ...
arXiv:1709.07598v1
fatcat:fs47sejsrvbl7izogwlqx7n6ee
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching
[article]
2021
arXiv
pre-print
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In particular, a case study on facial retouching detection under the influence of image compression is presented. ...
To this end, ICAO-compliant subsets of two public face databases are used to automatically create a database containing more than 9,000 retouched reference images together with unconstrained probe images ...
[15] introduced a deep learning-based facial retouching detection scheme which is specifically designed to detect image warping operations performed using the Adobe Photoshop software. ...
arXiv:2103.03654v1
fatcat:odduhy24ubbyzfxfh5q2hk3lru
Facial Retouching and Alteration Detection
[chapter]
2022
Advances in Computer Vision and Pattern Recognition
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Therefore, it is important to detect digital alterations in images and videos. This chapter presents a comprehensive survey of existing algorithms for retouched and altered image detection. ...
Apart from this, advancements in the Generative Adversarial Network (GAN) leads to creation of realistic facial images and alteration of facial images based on the attributes. ...
Digital Retouching Detection Retouching on facial images can be performed digitally using easy-to-use image editing tools or physically by applying facial makeups. ...
doi:10.1007/978-3-030-87664-7_17
fatcat:rdyyy4cowfcmtoma52tdbp3ipm
On Detecting GANs and Retouching based Synthetic Alterations
[article]
2019
arXiv
pre-print
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This paper proposes a supervised deep learning algorithm using Convolutional Neural Networks (CNNs) to detect synthetically altered images. ...
Digitally retouching images has become a popular trend, with people posting altered images on social media and even magazines posting flawless facial images of celebrities. ...
[5] makes use of supervised deep Boltzmann machine algorithm for detecting retouching on the ND-IIITD database. ...
arXiv:1901.09237v1
fatcat:hgfk5p6jt5dojg5lqemxbt6a3q
PRNU-based Detection of Facial Retouching
2020
IET Biometrics
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Nowadays, many facial images are acquired using smart phones. To ensure the best outcome, users frequently retouch these images before sharing them, e.g. via social media. ...
bona fide and retouched images achieving an average detection equal error rate of 13.7% across all retouching algorithms. ...
[27, 28] proposed different facial retouching detection schemes based on deep learning. ...
doi:10.1049/iet-bmt.2019.0196
fatcat:j5sxzfviefae7bnnrdlunrntt4
Deep Learning Models for Automatic Makeup Detection
2021
AI
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We have investigated and studied the efficacy of deep learning models for makeup detection incorporating the use of transfer learning strategy with semi-supervised learning using labelled and unlabelled ...
In this work, we conduct a comparative study and design automated facial makeup detection systems leveraging multiple learning schemes from a single unconstrained photograph. ...
For makeup detection using a supervised deep learning approach, authors in [31] developed a system based on a pre-trained Alex network for makeup detection. Yi Li et al. ...
doi:10.3390/ai2040031
doaj:23804649723344e88e534b0a7537bbf9
fatcat:jwlbcgfhlncbfd4dxxce2ahmku
Image Forensic Tool (IFT)
2021
International Journal of Digital Crime and Forensics
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For various types of tampering, different tampering detection algorithms have been used. ...
Even in various state-of-the-art works in tamper detection, there are various restrictions in the type of inputs and the type of tampering detection. ...
Does not work with (Junwen, 2009) editing performed other formats. 2) Detects all types of splicing performed 5 Retouching Demography-based Facial Retouching Detection using Subclass Supervised Sparse ...
doi:10.4018/ijdcf.287606
fatcat:kmns6lqervevde7lt5eiuxcoyq
Photorealistic Facial Wrinkles Removal
[article]
2022
arXiv
pre-print
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First, a state of the art wrinkle segmentation network is used to detect the wrinkles within the facial region. ...
Editing and retouching facial attributes is a complex task that usually requires human artists to obtain photo-realistic results. ...
Initially, deep learning based inpainting methods used vanilla convolutional neural networks (CNN). ...
arXiv:2211.01930v1
fatcat:3govl43w3rfjhe5y3ahfoixdkq
Table of contents
2016
IEEE Transactions on Information Forensics and Security
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Cao 1893 Detecting Facial Retouching Using Supervised Deep Learning ................................................................ .................................................................... ...
Alhalabi 1984 Temporal and Spatial Locality: An Abstraction for Masquerade Detection .................................................. ............................................................ J. ...
doi:10.1109/tifs.2016.2579579
fatcat:rkc5uiczczhbfhbpihcj7xxpmy
Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition
2022
Applied Sciences
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Additionally, we show that it is possible to improve face recognition accuracy by using the proposed deep learning-based tattoo removal before extracting and comparing facial features. ...
Moreover, we demonstrate the feasibility of the generation by using a deep learning-based model for removing tattoos from face images. ...
Examples of using deep learning-based tattoo removal.
Figure 2 . 2 Figure 2. Synthetic facial tattoo generation workflow.
Figure 3 . 3 Figure 3. Facial landmarks detected by dlib. ...
doi:10.3390/app122412969
fatcat:gioyx7gkj5ee7iqutc6ulddqde
Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition
[article]
2022
arXiv
pre-print
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Additionally, we show that it is possible to improve face recognition accuracy by using the proposed deep learning-based tattoo removal before extracting and comparing facial features. ...
Moreover, we demonstrate the feasibility of the generation by using a deep learning-based model for removing tattoos from face images. ...
Many researchers are working on the detection or generation of deep learning-based alterations. ...
arXiv:2202.05297v2
fatcat:dzyj5rdlnnhmxh3ooi7tibmsuu
Synthetic Data in Human Analysis: A Survey
[article]
2022
arXiv
pre-print
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We conduct a survey that summarises current state-of-the-art methods and the main benefits of using synthetic data. ...
Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-identification. ...
A weakly supervised learning framework was used to train the facial landmark detection model, which improved the average error distance for landmark detection on the labelled face parts in the wild (LFPW ...
arXiv:2208.09191v1
fatcat:664lxnbjezcifev6cewkripjze
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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Supervised Deep-Learning Framework. ...
., +, TIP 2021 739-753 Robust Content-Adaptive Global Registration for Multimodal Retinal Images Using Weakly Supervised Deep-Learning Framework. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Robust Deepfake On Unrestricted Media: Generation And Detection
[article]
2022
arXiv
pre-print
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Recent advances in deep learning have led to substantial improvements in deepfake generation, resulting in fake media with a more realistic appearance. ...
This chapter explores the evolution of and challenges in deepfake generation and detection. ...
These deep-learning models were fine-tuned using many data augmentations. ...
arXiv:2202.06228v1
fatcat:a37q2lf7w5bcbekk5esmbx2goe
MorDeephy: Face Morphing Detection Via Fused Classification
[article]
2022
arXiv
pre-print
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It is directed onto learning the deep facial features, which carry information about the authenticity of these features. ...
In this work, we introduce a novel deep learning strategy for a single image face morphing detection, which implies the discrimination of morphed face images along with a sophisticated face recognition ...
It is directed onto learning the deep facial features, which carry information about the authenticity of these features. ...
arXiv:2208.03110v1
fatcat:hifrhyu7djhjrf42hwcefg6gaq
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