Arcsoft Corporation Limited

Han Qiu

Jin Wang

Shu Li

Kangning Song

Fang Deng

Sanyong Fang

The present disclosure provides a method and apparatus for facial classification, which is applied to the field of image processing. The method includes acquiring a color image of a target face, where the color image includes information of at least one channel, inputting the information into a neural network, and classifying, by the neural network, the target face according to the information and a first parameter. The first parameter includes at least one facial category and first parameter data for identifying a facial category of the target face. The method and device of the present disclosure can analyze facial attributes from the content of a facial image, and automatically classify many facial images according to their facial attributes. This reduces the burden of manual classification, thereby allowing facial images to be stored in a clear and orderly fashion and improving classification efficiency.

Method and apparatus for face classification

The present disclosure provides a method and apparatus for expression recognition, which is applied to the field of image processing. The method includes acquiring a three-dimensional image of a target face and a two-dimensional image of the target face, where the three-dimensional image includes first depth information of the target face and first color information of the target face, and the two-dimensional image includes second color information of the target face. A first neural network classifies an expression of the target face according to the first depth information, the first color information, the second color information, and a first parameter to the target face. The first parameter includes at least one facial expression category and first parameter data for identifying an expression category of the target facial. The disclosed method and device can accurately recognize facial expressions under different facial positions and different illumination conditions.

Method and apparatus for expression recognition

A method for detecting a facial expression and repairing a smile face of a portrait photo includes the steps of: detecting a location and a range of a mouth region in an inputted portrait photo; capturing a patch in the mouth region and a predetermined peripheral range thereof; executing a comparison process to a smile state or a stiff state of the mouth region in the patch by a mouth state classifier; executing a calculation process to a repaired region of the mouth region when the mouth region is determined to be in the stiff state, in order to calculate a location of a plurality of feature points in the repaired region of the mouth region; and executing an image warping process to the location of the feature points and adjacent pixels thereof, for generating a portrait photo showing a smile state.

Method for detecting facial expression and repairing smile face of portrait photo

The present invention is to provide a method of restoring closed-eye portrait photo, which comprises the steps of detecting the locations and range of the eyes of a portrait photo being taken, retrieving a patch of a designated range of the eyes area and its neighboring area which represents the expression of the eyes and its neighboring area, determining whether the eyes of said patch are open or closed by using an eyes state classifier, temporarily storing said patch as an open-eye templet when it is determined that the eyes are open, detecting the locations and range of the eyes of a subsequently taken portrait photo, calculating an eyes restoration area when it is determined that the eyes are closed, replacing the closed-eye patch with said open-eye templet, and performing fusion operation toward said eyes restoration area to ensure that each portrait photo generated is with the eyes opened.

Growing community of inventors

Hangzhou, China

Han Qiu