Abstract: There is described a deep learning supervised regression based model including methods and systems for facial attribute prediction and use thereof. An example of use is an augmented and/or virtual reality interface to provide a modified image responsive to facial attribute predictions determined from the image.

Abstract: There are provided computing devices and methods, etc. to controllably transform an image of a face, including a high resolution image, to simulate continuous aging. Ethnicity-specific aging information and weak spatial supervision are used to guide the aging process defined through training a model comprising a GANs based generator. Aging maps present the ethnicity-specific aging information as skin sign scores or apparent age values. The scores are located in the map in association with a respective location of the skin sign zone of the face associated with the skin sign. Patch-based training, particularly in association with location information to differentiate similar patches from different parts of the face, is used to train on high resolution images while minimize resource usage.

Abstract: Systems and methods process images to determine a skin condition severity analysis and to visualize a skin analysis such as using a deep neural network (e.g. a convolutional neural network) where a problem was formulated as a regression task with integer-only labels. Auxiliary classification tasks (for example, comprising gender and ethnicity predictions) are introduced to improve performance. Scoring and other image processing techniques may be used (e.g. in assoc. with the model) to visualize results such as highlighting the analyzed image. It is demonstrated that the visualization of results, which highlight skin condition affected areas, can also provide perspicuous explanations for the model. A plurality (k) of data augmentations may be made to a source image to yield k augmented images for processing. Activation masks (e.g. heatmaps) produced from processing the k augmented images are used to define a final map to visualize the skin analysis.

Abstract: The present invention relates to a process without a therapeutic target that evaluates at least one facial clinical sign and/or evaluates make-up, in particular evaluates wrinkles or fine lines from a portion of the face, including steps consisting in: —from a sequence of facial images of a person filmed while emitting at least one sound, extract from the sequence one or more images coinciding with the emission of at least one predefined sound, —from the resulting image or images extracted, evaluate at least one facial clinical sign appearing on the image or images extracted and/or evaluate at least one characteristic related to make-up.

Abstract: The present invention relates to a process without a therapeutic target that evaluates at least one facial clinical sign and/or evaluates make-up, in particular evaluates wrinkles or fme lines from a portion of the face, including steps consisting in:—from a sequence of facial images of a person filmed while emitting at least one sound, extract from the sequence one or more images coinciding with the emission of at least one predefined sound,—from the resulting image or images extracted, evaluate at least one facial clinical sign appearing on the image or images extracted and/or evaluate at least one characteristic related to make-up.

Abstract: A device or evaluating a product on application, including an application surface defined by a multilayer complex which has at least two application regions which differ in terms of their surface condition and/or their hardness, the multilayer complex including a skin layer and an underlying support layer made of elastomer, the device being arranged to allow the application of the product to the regions in a single action.