Oblon, McClelland, Maier & Neustadt, L.L.P.
System and method for image processing using deep neural networks
A system and method implement deep learning on a mobile device to provide a convolutional neural network (CNN) for real time processing of video, for example, to color hair. Images are processed using the CNN to define a respective hair matte of hair pixels. The respective object mattes may be used to determine which pixels to adjust when adjusting pixel values such as to change color, lighting, texture, etc. The CNN may comprise a (pre-trained) network for image classification adapted to produce the segmentation mask. The CNN may be trained for image segmentation (e.g. using coarse segmentation data) to minimize a mask-image gradient consistency loss. The CNN may further use skip connections between corresponding layers of an encoder stage and a decoder stage where shallower layers in the encoder, which contain high-res but weak features are combined with low resolution but powerful features from deeper decoder layers.
L'OREAL
G G G G G G G G G G G G G G G G G G G G
G06T G06N G06V G06V G06K G06T G06T G06T G06K G06T G06T G06V G06V G06T G06N G06T G06T G06T G06T G06N
additional additional inventional inventional inventional additional inventional inventional inventional additional additional inventional inventional inventional inventional additional inventional inventional additional inventional
Edmund Alex Parham Ruowei Irina Cheng Eric Wenzhangzhi
Phung Levinshtein Aarabi Jiang Kezele Chang Elmoznino Guo