#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