There is disclosed a system and method of performing facial recognition from RGB image data. The method includes generating a lower-resolution image from the RGB image data, performing a convolution of the lower-resolution image data to derive a probability map identifying probable facial regions and a probable non-facial regions, and performing a first deconvolution on the lower-resolution image using a bilinear interpolation layer to derive a set of coarse facial segments. The method further includes performing a second deconvolution on the lower-resolution image using a series of unpooling, deconvolution, and rectification layers to derive a set of fine facial segments, concatenating the set of coarse facial segments to the set of fine facial segments to create an image matrix made up of a set of facial segments, and generating a binary facial mask identifying probable facial regions and probable non-facial regions from the image matrix.

Approaches for processing captured image to detect facial portion of a user within the captured image are described. In an example, a facial image from the processed captured image may be derived. Based on the derived facial image, determining a set of specular features and texture-based feature vector. Based on the specular features and the texture-based feature vector, whether the facial image is of a facial substitute or not may be ascertained.

An appropriate skin color range can be promptly set. An image processing apparatus configured to estimate a pulse of a person detected from an image includes a setting unit configured to set an ellipse region including a face detected from the image, an acquisition unit configured to acquire color information about a pixel included in the set ellipse region, a determination unit configured to determine whether the acquired color information satisfies a predetermined condition, and a specifying unit configured to specify a threshold value indicating a skin color range based on the color information in the ellipse region in a case where the determination unit determines that the acquired color information satisfies the predetermined condition.

A method for detecting a blocking state of an image acquisition device, an electronic device, and a computer storage medium are provided. The method includes: an image acquired by an image acquisition device is obtained; and it is determined, according to the acquired image, whether the image acquisition device is in a blocked state.

The present technology relates to an information processing device, an information processing method, and a program capable of facilitating fixed-point observation on skin condition. The information processing device according to an aspect of the present technology acquires an image that shows a predetermined feature point of a user who is a measurer of skin condition, and a measurement portion of skin condition, and analyzes the image, and then recognizes a position of the feature point. Furthermore, information indicating the measurement portion is displayed at a predetermined position on the image while setting, as a reference, the recognized position of the feature point. The present technology is applicable to information processing devices such as a tablet terminal, a smartphone, and a personal computer.

A method for operating an image processing device coupled to a color camera and a depth camera is provided. The method includes receiving a color image of a 3-dimensional scene from a color camera, receiving a depth map of the 3-dimensional scene from a depth camera, generating an aligned 3-dimensional face mesh from a plurality of color images received from the color camera indicating movement of a subject's head within the 3-dimensional scene and form the depth map, determining a head region based the depth map, segmenting the head region into a plurality of facial sections based on both the color image, depth map, and the aligned 3-dimensional face mesh, and overlaying the plurality of facial sections on the color image.

An amount of color correction of a facial region is modified based on changes caused in face average values by white balance correction. Also, the amount of color correction of the facial region is modified according to luminance of pixels of interest to perform optimum color correction on the facial region and a highlight region.

Disclosed are an image processing method, a terminal and a non-transitory computer-readable storage medium. The image processing method includes: acquiring and detecting a first image, and determining whether the first image has a face image; in response that the first image has a face image, acquiring image information of a face region where the face image is located in the first image, and calculating an average brightness in the face region based on the image information; adjusting a brightness in the face region based on the average brightness and a preset model; acquiring parameter information of each pixel in the face region, and adjusting the parameter information of each pixel based on the parameter information and a preset rule, and generating a second image; and superimposing the first image and the second image, generating and displaying a third image.

The present invention provides a method for a finalized processed image and related data to identify a spatial location of each pupil in the region. Each pupil is identified by a two-dimensional spatial coordinate. The method includes processing information associated with each pupil identified by the two-dimensional spatial coordinate to output a plurality of two-dimensional spatial coordinates, each of which is in reference to a time, in a two-dimensional space. The method then includes outputting a gaze information about the human user. The gaze information includes the two-dimensional spatial coordinates each of which is in reference to a time in a two-dimensional space.

One embodiment is directed to controlling a computing system based on an interpreted user intention. Another embodiment is directed to generating a smoothed position of a feature based upon detected and reprojected positions of the feature. Another embodiment is directed to performing one or more image treatments on a facial region of a user until the perceived SQS satisfies the predetermined target SQS. Another embodiment is directed to video conferencing monitoring the quality of video feed coming from the participants of the video conferencing and creating an image or video from the feed when that participant's feed is good and replacing the live video with the newly created good quality image or video when the feed is bad. Another embodiment is directed to a process of baked triplanar projection using triangles generated from a tessellation, where the baked triplanar projection can generate a 2D mesh including UV coordinates.