Abstract:
A face image display method applied to an electronic device is provided. The face image display method includes: obtaining a real-time face image, defining a first feature region on the real-time face image, capturing a first feature region image including the first feature region, enlarging the first feature region image into a first output image; and displaying the first output image on a first display area of the display unit.
Abstract:
An image processing method applied in an image processing device, which includes an image capturing unit, an image processing unit, an image recognition unit and an exposure adjusting unit, is provided. The image processing method includes the following steps: obtaining a first image by the image capturing unit, generating an average brightness of a dark part of the first image by the image processing unit; recognizing the first image by the image recognition unit; generating a first average brightness of a human face by the image processing unit and generating a first exposure value according to the average brightness of the dark part of the first image, the first average brightness of the human face and a weight array, when the human face is recognized from the first image; and adjusting an exposure of the first image according to the first exposure value by the exposure adjusting unit.
Abstract:
An image processing method includes following steps: capturing an image including a human face; executing a face detection in a predetermined area of the image; adjusting an exposure value of the predetermined area to an expected value when the face detection does not recognize the human face; executing the face detection and analyzing an image information in a face area of the image when the exposure value of the predetermined area reaches the expected value; and selecting a model parameter and an image adjusting parameter correspondingly according to the image information, processing the face area of the image, and outputting a processed image to a human face recognition system.
Abstract:
An image processing device includes a camera unit, a control unit, an image processing unit and a storage unit. The camera unit obtains a first image. The control unit coupled to the camera unit adjusts an exposure value of the camera unit to control an average luminance value of the dark part of the first image and a contrast value of the first image. The storage unit is coupled to the control unit. The image processing unit is coupled to the camera unit and the storage unit, and it generates a second image according to the first image and a first algorithm stored in the storage unit, and generates a third image according to the first image and a second algorithm stored in the storage unit. The image processing unit generates a fourth image according to luminance values of the first image, the second image and the third image.
Abstract:
A method of establishing virtual makeup data, an electronic device and a non-transitory computer readable storage medium are provided. The method includes: adjusting a scope of the makeup face in the first image to match a predetermined face scope in a predetermined image; defining a plurality of areas on the adjusted makeup face, and each of the areas corresponds to a makeup category; capturing a plurality of first makeup features of at least one of the target makeup category in the makeup category; comparing the first makeup features with a plurality of second makeup features in the database whose target makeup category are same; adding a first makeup pattern including the first makeup features to the target makeup category of the database when the first makeup feature is different from the second makeup feature.
Abstract:
A face image display method applied to an electronic device is provided. The face image display method includes: obtaining a real-time face image, defining a first feature region on the real-time face image, capturing a first feature region image including the first feature region, enlarging the first feature region image into a first output image; and displaying the first output image on a first display area of the display unit.
Abstract:
A method of applying virtual makeup adapted for an electronic device having a virtual makeup electronic system is provided. The method of applying virtual makeup includes the steps: receiving a plurality of facial images of different angles of a face to construct a 3D facial model; recording a real-time facial image of the face, and the 3D facial model varies with the face in real time according to the real-time facial image; providing 3D virtual makeup to the 3D facial model; converting the 3D virtual makeup to 2D virtual makeup according to a position and an angle of the real-time facial image; combining the real-time facial image and the 2D virtual makeup to generate an output image; and displaying the output image. A virtual makeup electronic system and an electronic device having a virtual makeup electronic system are further provided.
Abstract:
A method of establishing virtual makeup data, an electronic device and a non-transitory computer readable storage medium are provided. The method includes: adjusting a scope of the makeup face in the first image to match a predetermined face scope in a predetermined image; defining a plurality of areas on the adjusted makeup face, and each of the areas corresponds to a makeup category; capturing a plurality of first makeup features of at least one of the target makeup category in the makeup category; comparing the first makeup features with a plurality of second makeup features in the database whose target makeup category are same; adding a first makeup pattern including the first makeup features to the target makeup category of the database when the first makeup feature is different from the second makeup feature.
Abstract:
The present invention discloses an image processing method and an electronic device using the same. The image processing method includes the following steps: (a) capturing a plurality of reference images corresponding to a plurality of exposure values; (b) executing a high dynamic range (HDR) algorithm based on the reference images to generate an HDR image; (c) enhancing an image quality of each of the reference images to generate a plurality of processed images; (d) selecting a candidate image which is most similar to the HDR image from the processed images; and (e) recording a first candidate automatic exposure value corresponding to the candidate image.