In some implementations, a method includes identifying one or more face regions of an image, the face regions including pixels that depict at least a portion of one or more faces of persons. The face regions are identified based on identifying facial landmarks of the faces. The method determines an associated face mask for each of the faces based on the face regions, where each face mask indicates which pixels in the image depict the corresponding face. Face pixels can be selected for processing by applying the face masks, and image pixels outside the faces can be selected by inversely applying the face masks. The selected pixels can be provided to a processing operation for adjustment of the selected pixels.

Image masks for face-related selection and processing in images

The invention discloses a face image beautifying device, and the device comprises a recognition module which is used for recognizing face features of a to-be-beautified face image, and obtaining a face feature parameter; an obtaining module which is used for obtaining a corresponding beautifying special efficacy from a preset beautifying special efficacy database according to the face feature parameter; and a beautifying module which is used for beautifying the to-be-beautified face image based on the beautifying special efficacy. The invention also discloses a face image beautifying method. The device and method can achieve customized beautifying for different face images.

Face image beautifying device and method

There is provided an image processing apparatus including a control unit configured to control whether or not to set an amplification factor for amplifying a reflectance component of an image to a large enough value to give a painterly visual effect to the image, a separation unit configured to separate the image into an illumination component and the reflectance component, an amplification unit configured to amplify the reflectance component separated by the separation unit with the amplification factor controlled by the control unit, and a combination unit configured to combine the illumination component separated by the separation unit and the reflectance component amplified by the amplification unit.

Image processing apparatus and method

A system, apparatus, and method for confirming the identity of a person for access using an image of that person. The system includes a camera, a data storage device, a subject identification device, and a processor to compare a plurality of current images of the subject to a plurality of stored images of that subject and confirm that the subject live and an approved subject.

Apparatuses, systems, and methods for confirming identity

Implementations relate to feature mask determination for images. In some implementations, a computer-implemented method to determine a feature mask for an image includes estimating one or more prior regions in the image that define a feature in the image. The method determines superpixels based on multiple pixels of the image similar in color. The method constructs a graph, each node of the graph corresponding to a superpixel, and determines a superpixel score for each superpixel based on a number of pixels of the superpixel. The method determines one or more segmented regions in the image based on applying a graph cut technique to the graph based at least on the superpixel scores, and determines the feature mask based on the segmented regions. The feature mask indicates a degree to which pixels of the image depict the feature. The method modifies the image based on the feature mask.

Feature mask determination for images

A face image processing method is applied to an electronic device, such that the electronic device can perform a face detection to a digital image to obtain a face image in the digital image automatically, and perform a skin color detection to the face image to exclude non-skin features such as eyes, eyeglasses, eyebrows, a moustache, a mouth and nostrils on the face image, and form a skin mask in an area range of the face image belonging to skin color, and finally perform a filtering process to the area range of the face image corresponding to the skin mask to filter high-frequency, mid-frequency and low-frequency noises of an abnormal skin color in the area range of the face image, so as to quickly remove blemishes and dark spots existed in the area range of the face image.

Jian-feng Li

Papers

Face image processing method