Aaron Jackson said: «Our CNN uses just a single
2D facial image, and works for arbitrary facial poses (e.g. front or profile images) and facial expressions (e.g. smiling).»
Not exact matches
With all this information their CNN is able to reconstruct 3D
facial geometry from a single
2D image.
They have developed technology capable of producing 3D
facial reconstruction from a single
2D image — the 3D selfie.
The combination of the two along with advanced software algorithms will allow the iPhone 8 to capture
2D images and depth information that will be useful for iris and
facial recognition, 3D selfies, and more.
The new AR emoji feature can analyse a
2D image of a user and create a 3D
facial model, imitating their own unique
facial expressions for a tailored experience.
This uses the front 8MP camera to analyze a
2D image of you and then maps more than 100 different
facial features to a 3D avatar.
AR Emoji uses a data - based machine learning algorithm, which analyzes a
2D image of the user and maps out more than 100
facial features to create a 3D model that reflects and imitates expressions, like winks and nods, for true personalization.
Additionally, AR Emoji creates a
2D image of you, then uses the front facing sensors and camera to mimic 100 different
facial expressions.
Created an application to encode a
2D bar code with demographic data,
facial and fingerprint
images.