Human authentication based on fusion of thermal and visible face images
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7701-6
Abstract: In recent past, considerable amount of research has been done to increase the performance of a face authentication system in uncontrolled environment such as illumination. However, the performance has not been improved significantly since visible… read more here.
Keywords: authentication; method; face images; fusion ... See more keywords
A New Virtual Samples-Based CRC Method for Face Recognition
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9721-4
Abstract: The research of automatic face recognition has attracted much attention from many researchers because of human faces’ uniqueness and usability. However, in the real-world applications, the acquisition equipment of face images is affected by illumination… read more here.
Keywords: method; face images; recognition; half face ... See more keywords
Hallucinating Compressed Face Images
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-017-1044-4
Abstract: A face hallucination algorithm is proposed to generate high-resolution images from JPEG compressed low-resolution inputs by decomposing a deblocked face image into structural regions such as facial components and non-structural regions like the background. For… read more here.
Keywords: resolution; high resolution; face images; face ... See more keywords
Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps.
Sign Up to like & getrecommendations! Published in 2019 at "Ophthalmology"
DOI: 10.1016/j.ophtha.2019.09.036
Abstract: PURPOSE To develop and evaluate a deep learning system for differentiating between eyes with and without glaucomatous visual field damage (GVFD) and predicting the severity of GFVD from spectral domain OCT (SD OCT) optic nerve head… read more here.
Keywords: learning; learning models; deep learning; face images ... See more keywords
Automated Lesion Segmentation and Quantitative Analysis of Nevus in Whole-Face Images.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Craniofacial Surgery"
DOI: 10.1097/scs.0000000000006017
Abstract: BACKGROUND Nevus is very common; however, melanoma is slightly related to the deterioration of nevus because of its vulnerability to solarization, friction, aging, heredity, and other factors. Early diagnosis is essential for melanoma treatment, since… read more here.
Keywords: diagnosis; face images; segmentation; lesion ... See more keywords
Super-Resolution of Face Images Using Weighted Elastic Net Constrained Sparse Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913008
Abstract: High-resolution (HR) face images are usually preferred in many computer vision tasks. However, low-resolution (LR) face images, which are often obtained in real scenarios, can be converted to a high resolution with the super-resolution techniques.… read more here.
Keywords: resolution; resolution face; face; super resolution ... See more keywords
DeepFake Detection for Human Face Images and Videos: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3151186
Abstract: Techniques for creating and manipulating multimedia information have progressed to the point where they can now ensure a high degree of realism. DeepFake is a generative deep learning algorithm that creates or modifies face features… read more here.
Keywords: images videos; survey; detection; face images ... See more keywords
Towards Unconstrained Facial Landmark Detection Robust to Diverse Cropping Manners
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3006236
Abstract: Facial landmark detection is one crucial step for face-based image/video analysis. Despite the fact that recently many facial landmark detection models have achieved remarkable performance, most state-of-the-art heatmap regression-based methods heavily rely on initialization of… read more here.
Keywords: face images; facial landmark; landmark; landmark detection ... See more keywords
Towards Spatially Disentangled Manipulation of Face Images With Pre-Trained StyleGANs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3213662
Abstract: Generative Adversarial Networks with style-based generators could successfully synthesize realistic images from input latent code. Moreover, recent studies have revealed that interpretable translations of generated images could be obtained by linearly traversing in the latent… read more here.
Keywords: style; style space; manipulation; face images ... See more keywords
FCD-Net: Learning to Detect Multiple Types of Homologous Deepfake Face Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3269152
Abstract: With the rapid development of artificial intelligence technology, a variety of GAN generated deepfake face images/videos have emerged endlessly. The abuse of deepfake has brought serious negative effects to many industries. Therefore, there is an… read more here.
Keywords: deepfake face; face; types homologous; face images ... See more keywords
A Deep Autoencoder With Novel Adaptive Resolution Reconstruction Loss for Disentanglement of Concepts in Face Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3165261
Abstract: Among the different categories of natural images, face images are very important because of their broad range of applications. One challenging topic of face processing by computers is extracting information related to only specific concepts… read more here.
Keywords: deep autoencoder; face images; autoencoder; reconstruction loss ... See more keywords