Best Face Recognition APIs in 2019 and their applications
https://analyticsprofile.com/machine-learning/best-face-recognition-apis-in-2019-and-their-applications/?utm_source=facebook&utm_medium=dailypost
مطلب مرتبط:
اگر به حوزه #چهره در #یادگیری_عمیق علاقه دارید این مخزن گیت هاب حاوی مقالات مرتبط، آموزش فارسی، فیلم+ اسلاید+ کد و لینک پیاده سازی های مرتبط است که توصیه میکنم:
https://github.com/Alireza-Akhavan/deep-face-recognition
#face
🙏Thanks to: @ArtificialIntelligenceArticles
https://analyticsprofile.com/machine-learning/best-face-recognition-apis-in-2019-and-their-applications/?utm_source=facebook&utm_medium=dailypost
مطلب مرتبط:
اگر به حوزه #چهره در #یادگیری_عمیق علاقه دارید این مخزن گیت هاب حاوی مقالات مرتبط، آموزش فارسی، فیلم+ اسلاید+ کد و لینک پیاده سازی های مرتبط است که توصیه میکنم:
https://github.com/Alireza-Akhavan/deep-face-recognition
#face
🙏Thanks to: @ArtificialIntelligenceArticles
#مقاله #سورس_کد
#CVPR2019 #face
Learning to Regress 3D Face Shape and Expressionfrom an Image without 3D Supervision
Get 3D faces from an image using RingNet. New CVPR paper with code on-line. The output is a 3D face/head model that can be animated. We do this with paired 3D-image training data.
#Video:
https://youtu.be/6wPQaJBgreE
#Source Code (#Tensorflow):
https://github.com/soubhiksanyal/RingNet
#Project_page:
https://ringnet.is.tue.mpg.de/
paper:
https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/509/paper_camera_ready.pdf
#CVPR2019 #face
Learning to Regress 3D Face Shape and Expressionfrom an Image without 3D Supervision
Get 3D faces from an image using RingNet. New CVPR paper with code on-line. The output is a 3D face/head model that can be animated. We do this with paired 3D-image training data.
#Video:
https://youtu.be/6wPQaJBgreE
#Source Code (#Tensorflow):
https://github.com/soubhiksanyal/RingNet
#Project_page:
https://ringnet.is.tue.mpg.de/
paper:
https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/509/paper_camera_ready.pdf
YouTube
RingNet: Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
The estimation of 3D face shape from a single image must be robust to variations in lighting, head pose, expression, facial hair, makeup, and occlusions. Robustness requires a large training set of in-the-wild images, which by construction, lack ground truth…
Facial Recognition Has a Blind Spot
https://zora.medium.com/facial-recognition-has-a-blind-spot-57523b73039e
https://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms
#face
https://zora.medium.com/facial-recognition-has-a-blind-spot-57523b73039e
For White men, the software works correctly 99% of the time. For darker-skinned women, there were nearly 35% more errors.سخنرانی TED مرتبط:
https://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms
#face
Medium
Facial Recognition Has a Blind Spot
Melanin-biased software leaves a lot of room for error
This media is not supported in your browser
VIEW IN TELEGRAM
#آموزش + #سورس_کد فارسی
آموزش تراز کردن کارت ملی (ایرانی) + سورس کد
آموزش:
http://blog.class.vision/1398/04/2541/
سورس کد:
https://github.com/ElmiiiRaa/align_iranian_national_id_card
با تشکر از مهندس المیرا قربانی
#تراز #کارت_ملی
#face #mtcnn
آموزش تراز کردن کارت ملی (ایرانی) + سورس کد
آموزش:
http://blog.class.vision/1398/04/2541/
سورس کد:
https://github.com/ElmiiiRaa/align_iranian_national_id_card
با تشکر از مهندس المیرا قربانی
#تراز #کارت_ملی
#face #mtcnn
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning (2019)
https://arxiv.org/abs/1904.01740
https://github.com/uam-biometrics/FaceQnet
مرتبط با
https://github.com/Alireza-Akhavan/face-quality-metrics
#face
https://arxiv.org/abs/1904.01740
https://github.com/uam-biometrics/FaceQnet
مرتبط با
https://github.com/Alireza-Akhavan/face-quality-metrics
#face
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
فریم ورکی که محققین گوگل برای تشخیص چهره ارایه دادند که میتواند با دقت و سرعت بالایی بر روی موبایل عمل کند.
BlazeFace is a new face detection framework adapted from the Single Shot Multibox Detector (SSD) framework and optimized for inference on mobile GPUs. The lightweight face detector runs at an impressive speed of 200–1000+ FPS on flagship smartphones.
مقاله:
https://arxiv.org/abs/1907.05047
#face_detection #face
فریم ورکی که محققین گوگل برای تشخیص چهره ارایه دادند که میتواند با دقت و سرعت بالایی بر روی موبایل عمل کند.
BlazeFace is a new face detection framework adapted from the Single Shot Multibox Detector (SSD) framework and optimized for inference on mobile GPUs. The lightweight face detector runs at an impressive speed of 200–1000+ FPS on flagship smartphones.
مقاله:
https://arxiv.org/abs/1907.05047
#face_detection #face
arXiv.org
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference. It runs at a speed of 200-1000+ FPS on flagship devices. This super-realtime performance...
#خبر
معترضان هنگ کنگی، به نشانه اعتراض، دوربین بازشناسی #چهره را به پایین کشیدند و شکاندند...
Protestors in Hong Kong are cutting down facial recognition towers.
https://video.twimg.com/ext_tw_video/1165327015806820353/pu/vid/640x640/nhD5bCtHE6DPTkdT.mp4
#face
معترضان هنگ کنگی، به نشانه اعتراض، دوربین بازشناسی #چهره را به پایین کشیدند و شکاندند...
Protestors in Hong Kong are cutting down facial recognition towers.
https://video.twimg.com/ext_tw_video/1165327015806820353/pu/vid/640x640/nhD5bCtHE6DPTkdT.mp4
#face
This media is not supported in your browser
VIEW IN TELEGRAM
#خبر
تغییر چهره در کسری از ثانیه!
لباس پوشیدنی که با پروژکت کردن تصویر چهره روی چهره شما دوربین های تشخیص چهره را به خطا می اندازد. مناسب برای معترضان خیابانی!
لینک خبر:
https://amp.graziame.com/amp/article_listing/graziame/life/this-wearable-projector-changes-your-face-in-seconds
#face
تغییر چهره در کسری از ثانیه!
لباس پوشیدنی که با پروژکت کردن تصویر چهره روی چهره شما دوربین های تشخیص چهره را به خطا می اندازد. مناسب برای معترضان خیابانی!
لینک خبر:
https://amp.graziame.com/amp/article_listing/graziame/life/this-wearable-projector-changes-your-face-in-seconds
#face
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Abstract:
We propose a novel architecture which is able to automatically anonymize faces in images while retaining the original data distribution. We ensure total anonymization of all faces in an image by generating images exclusively on privacy-safe information. Our model is based on a conditional generative adversarial network, generating images considering the original pose and image background. The conditional information enables us to generate highly realistic faces with a seamless transition between the generated face and the existing background. Furthermore, we introduce a diverse dataset of human faces, including unconventional poses, occluded faces, and a vast variability in backgrounds. Finally, we present experimental results reflecting the capability of our model to anonymize images while preserving the data distribution, making the data suitable for further training of deep learning models. As far as we know, no other solution has been proposed that guarantees the anonymization of faces while generating realistic images.
Paper: https://arxiv.org/abs/1909.04538
Code: https://github.com/hukkelas/DeepPrivacy
#GAN #Face
Abstract:
We propose a novel architecture which is able to automatically anonymize faces in images while retaining the original data distribution. We ensure total anonymization of all faces in an image by generating images exclusively on privacy-safe information. Our model is based on a conditional generative adversarial network, generating images considering the original pose and image background. The conditional information enables us to generate highly realistic faces with a seamless transition between the generated face and the existing background. Furthermore, we introduce a diverse dataset of human faces, including unconventional poses, occluded faces, and a vast variability in backgrounds. Finally, we present experimental results reflecting the capability of our model to anonymize images while preserving the data distribution, making the data suitable for further training of deep learning models. As far as we know, no other solution has been proposed that guarantees the anonymization of faces while generating realistic images.
Paper: https://arxiv.org/abs/1909.04538
Code: https://github.com/hukkelas/DeepPrivacy
#GAN #Face
GitHub
GitHub - hukkelas/DeepPrivacy: DeepPrivacy: A Generative Adversarial Network for Face Anonymization
DeepPrivacy: A Generative Adversarial Network for Face Anonymization - hukkelas/DeepPrivacy
#خبر
#face
https://www.abacusnews.com/tech/wearing-mask-wont-stop-facial-recognition-anymore/article/3051388
Wearing a mask won’t stop #facial_recognition anymore
The coronavirus is prompting facial recognition companies to develop solutions for those with partially covered faces😳
@cvision
#face
https://www.abacusnews.com/tech/wearing-mask-wont-stop-facial-recognition-anymore/article/3051388
Wearing a mask won’t stop #facial_recognition anymore
The coronavirus is prompting facial recognition companies to develop solutions for those with partially covered faces😳
@cvision
South China Morning Post
Wearing a mask won’t stop facial recognition anymore
The coronavirus is prompting facial recognition companies to develop solutions for those with partially covered faces