Cyberlink Corporation

Perfect Corp.

Perfect Mobile Corp.

Chia-Chen Kuo

Ho-Chao Huang

Po-Yu Huang

Chia-En Chiang

Chih-Yu Cheng

Pei-Ying Lu

Wei-Chung Huang

Jung-Shan Lin

A computing device prompts a user to place the user's hand next to a facial region of the user and obtains an image depicting the facial region and a finger of the user. The computing device measures a diameter of an iris in the facial region and measures a width of finger region located between two knuckles on the finger depicted in the image. The computing device estimates a ring size of the finger based on an actual iris diameter, the measured iris diameter, and/or the measured finger region width. The computing device outputs the estimated ring size.

Systems and methods for contactless estimation of ring size

A computing device obtains a digital image depicting an individual and determines lighting conditions of the content in the digital image. The computing device obtains selection of a makeup effect from a user and determines surface properties of the selected makeup effect. The computing device applies a facial alignment technique to the facial region of the individual and defines a region of interest corresponding to the makeup effect. The computing device extracts lighting conditions of the region of interest and adjusts visual characteristics of the makeup effect based on the surface properties of the makeup effect and the lighting conditions of the region of interest. The computing device performs virtual application of the adjusted makeup effect to the region of interest in the digital image.

Systems and methods for virtual application of makeup effects based on lighting conditions and surface properties of makeup effects

A computing device for performing image pre-processing for blending images receives a first image depicting a head. The computing device detects a portion of the head in the first image and calculates an image attribute of the portion in the first image. The computing device receives a second image and generates an adjusted second image by adjusting color pixels in the second image based on the calculated image attribute of the portion in the first image. The computing device blends the adjusted second image with the first image.

System and method for performing pre-processing for blending images

A computing device obtains a source image depicting a facial region having one or more makeup effects. The computing device performs facial alignment and defines a plurality of source regions having the one or more makeup effects, the source regions corresponding to facial features in the source image. The computing device extracts attributes of the one or more makeup effects for each source region and identifies a closest matching feature template for each source region based on the attributes. The computing device obtains a digital image of a facial region of a user. The computing device performs facial alignment and identifies a plurality of target regions corresponding to the plurality of source regions. The computing device applies a matching feature template of a corresponding source region to each of the target regions.

Systems and methods for performing virtual application of makeup effects based on a source image

A computing device with a digital camera obtains a reference image depicting at least one reference color and calibrates parameters of the digital camera based on the at least one reference color. The computing device captures, by the digital camera, a digital image of an individual utilizing the calibrated parameters. The computing device defines a region of interest in a facial region of the individual depicted in the digital image captured by the digital camera. The computing device generates a skin tone profile for pixels within the region of interest and displays a predetermined makeup product recommendation based on the skin tone profile.

Systems and methods for generating skin tone profiles

In one embodiment, an image editing method, comprising: defining a region as a foreground object and a remaining region as background; applying an image warping process to a predefined object region, wherein a distortion to at least the remaining region occurs based on the image warping process applied to the predefined object region; responsive to the image warping process, determining a region to be repaired, the region to be repaired comprising a missing background; repairing the region to be repaired based on an inpainting process; and generating a repaired image by combining the predefined object region to which the image warping process is applied, one or more non-distorted regions, and the repaired region.

Image editing method and system

In one embodiment, a two-dimensional to stereoscopic conversion method, comprising: estimating a local motion region in a first image relative to one or more second images, the first and the one or more second images comprising two-dimensional images; generating a color model based on the local motion region; calculating a similarity value for each of at least one image pixel selected from the first image based on the color model; and assigning a depth value for each of the at least one image pixel selected from the first image based on the calculated similarity value to generate a stereoscopic image, the method performed by one or more processors.

Two-dimensional to stereoscopic conversion systems and methods

A method implemented in an image processing system for combining multi-exposure images comprises obtaining a plurality of images each having different exposure levels for a same scene. A merged weight map for at least one obtained image is constructed by determining at least one merged weight value for at least one pixel of each obtained image based on characteristics of the pixel, wherein the merged weight map comprises a weight map corresponding to the plurality of images. A Gaussian pyramid and a Laplacian pyramid of each obtained image are generated, and a Gaussian pyramid of the merged weight map is generated. A merged Gaussian pyramid and a merged Laplacian pyramid are generated based on the Gaussian pyramid of the merged weight map. An intermediate pyramid is generated based on the merged Laplacian pyramid, and a resultant image is constructed by blending the merged Gaussian pyramid with the intermediate pyramid.

Systems and methods for performing image fusion

Various embodiments are disclosed for performing image inpainting. One embodiment is a method for editing a digital image in an image editing device. The method comprises obtaining a restoration region in the digital image and determining texture information corresponding to the restoration region. Based on the texture information, a texture strength map is generated corresponding to the restoration region. Based on the texture strength map, an inpainting operation is applied to pixels in the restoration region.

Systems and methods for performing image inpainting based on texture analysis

In one embodiment, a method of two-dimensional to stereoscopic image conversion, the method comprising detecting a face in a two-dimensional image; determining a body region based on the detected face; providing a color model from a portion of the determined body region, a portion of the detected face, or a combination of both portions; calculating a similarity value of at least one image pixel of the two-dimensional image based on the provided color model; and assigning a depth value of the image pixel based on the calculated similarity value to generate a stereoscopic image.

Method and system of two-dimensional to stereoscopic conversion

To handle static text and logos in stabilized images without destabilizing the static text and logos, a method of handling overlay subpictures in stabilized images includes separating an existing overlay subpicture from an input image to generate a separated overlay subpicture and a separated input image. The separated input image is stabilized to form a stabilized image. The separated overlay subpicture is then merged with the stabilized image to obtain an output image.

Method for handling static text and logos in stabilized images

To handle static text and logos in stabilized images without destabilizing the static text and logos, a method of handling overlay subpictures in stabilized images includes detecting an overlay subpicture in an input image, separating the overlay subpicture from the input image, stabilizing the input image to form a stabilized image, and merging the overlay subpicture with the stabilized image to obtain an output image.

Growing community of inventors

Taipei, Taiwan

Chia-Chen Kuo