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PUBLIC MARKS from decembre with tag face

This year

VIDEO - LOGICIEL TRUCAGE - Des expressions presque parfaites

Avec leur technologie vidéo, des chercheurs peuvent recréer n'importe quelle expression, à la perfection. (CCM) — En avant-première de la conférence SIGGRAPH (lien en anglais), des chercheurs ont publié un extrait vidéo bluffant. Il montre à quel point les fausses vidéos peuvent être confondues avec les vraies. En transformant les expressions et mouvements du visage d'une personnalité, un deepfake devient indétectable ou presque. En principe, ces fausses vidéos utilisent les expressions d'un acteur anonyme, et les greffent sur le visage d'une personnalité. Autre option : placer un visage modifié sur un autre corps et dans une autre situation qu'à l'origine. Avec leur technologie Deep Video Portraits, les chercheurs ont utilisé un système complexe de superposition des expressions. Ils y ont ajouté un ré-encodage et de l'apprentissage machine. Le résultat est spectaculaire.


VIDEO - SECURITY APPLE - HACK - How Bkav tricked iPhone X's Face ID with a mask - YouTube

Woa, as you see, I have successfully unlocked the iPhone X with the mask. This iPhone is mine, clearly I can easily unlock it with my face. In conclusion, Face ID on this iPhone X is not as secure as Apple has announced.

FACE RECOGNITION - OpenFace project

Overview: The following overview shows the workflow for a single input image of Sylvestor Stallone from the publicly available LFW dataset. Detect faces with a pre-trained models from dlib or OpenCV. Transform the face for the neural network. This repository uses dlib's real-time pose estimation with OpenCV's affine transformation to try to make the eyes and bottom lip appear in the same location on each image. Use a deep neural network to represent (or embed) the face on a 128-dimensional unit hypersphere. The embedding is a generic representation for anybody's face. Unlike other face representations, this embedding has the nice property that a larger distance between two face embeddings means that the faces are likely not of the same person. This property makes clustering, similarity detection, and classification tasks easier than other face recognition techniques where the Euclidean distance between features is not meaningful. Apply your favorite clustering or classification techniques to the features to complete your recognition task. See below for our examples for classification and similarity detection, including an online web demo.

FACE RECOGNITION - DATA SET - The FaceScrub datase - vintage - resources

A Dataset With Over 100,000 Face Images of 530 People. Large face datasets are important for advancing face recognition research, but they are tedious to build, because a lot of work has to go into cleaning the huge amount of raw data. To facilitate this task, we developed an approach to building face datasets that detects faces in images returned from searches for public figures on the Internet, followed by automatically discarding those not belonging to each queried person. The FaceScrub dataset was created using this approach, followed by manually checking and cleaning the results. It comprises a total of 106,863 face images* of male and female 530 celebrities, with about 200 images per person. As such, it is one of the largest public face databases. The images were retrieved from the Internet and are taken under real-world situations (uncontrolled conditions). Name and gender annotations of the faces are included.


Loomis Faceworx: model a 3D head from two 2D images - review & download link |

Looxis Faceworx is a free 3D modeling program that can construct a textured 3D model of a person’s head out of two 2D photos (one from the front, "mugshot" style, and the other profile style from the side).


Google Portrait__Recherche Online__Un logiciel qui détecte les visages dans les images numériques

Ils ont mis au point un logiciel détectant la présence de visages dans une image au format numérique. Applications possibles dans les domaines de la biométrie, de la vidéo-conférence ou des systèmes de surveillance.Pas affilé à Google

Une belle expérience que cette "interface" créé par l'agence Mono, qui vous permet de créez jusqu'à 759375 visages différents.

by 10 others
Une belle expérience que cette "interface" créé par l'agence Mono, qui vous permet de créez jusqu'à 759375 visages différents. Il suffit de cliquer sur la partie du visage que vous souhaitez modifié. Comment trouvez vous celui-ci ? :

Face Transformer____What Might You Look Like if You Were Black? or White? or Old?

Their Face Transformer gives you a glimpse of how you might look a couple decades from now, or with another ethnic background. Or drunk.).Upload your mugshot and let the Face Transformer do the rest.

Filter image search results by category with Google Image Type Recognition

The script adds a drop-down box on the search results page that lets you choose your filter type. Just last week we noticed that Google enabled face recognition in their image search


Hair on Flickr - Photo Sharing!

Auntnanny, because she is evil, pointed me to this Clairol thingie where you can try different hairstyles and colors on your face. Heinous and fascinating. She even took a photo of me, in which I don't look terribly drunk or psychotic, and for that I am g