Abstract: A method for establishing a denture dentition model includes: obtaining face information and teeth alignment information of a use, to establish a three-dimensional mouth-opening face model and an original teeth model, and superimposing the original teeth model to the three-dimensional mouth-opening face model; establishing a reference line corresponding to each of the teeth of the original teeth model; generating a plurality of grids on the three-dimensional mouth-opening face model according to the reference lines, and adjusting each of the grids to correspond to the edge of each tooth, to obtain an actual size of each of the teeth; providing an upper edge curve and a lower edge curve on the three-dimensional mouth-opening face model as a smile curve; aligning each grid with the smile curve, and placing a denture model in each grid; and adjusting a denture contour of each denture model, to generate the denture dentition model.

Abstract: A method for establishing a denture dentition model includes: obtaining face information and teeth alignment information of a use, to establish a three-dimensional mouth-opening face model and an original teeth model, and superimposing the original teeth model to the three-dimensional mouth-opening face model; establishing a reference line corresponding to each of the teeth of the original teeth model; generating a plurality of grids on the three-dimensional mouth-opening face model according to the reference lines, and adjusting each of the grids to correspond to the edge of each tooth, to obtain an actual size of each of the teeth; providing an upper edge curve and a lower edge curve on the three-dimensional mouth-opening face model as a smile curve; aligning each grid with the smile curve, and placing a denture model in each grid; and adjusting a denture contour of each denture model, to generate the denture dentition model.

Abstract: An image simulation method for orthodontics is provided. First, receive a face video and capturing a face image from the face video and find a plurality of face feature points on the face image to determine a mouth area. Then, acquire a tooth image in the mouth area. Define a plurality of tooth image feature points according to the tooth image. Subsequently, compare a plurality of preset tooth model feature points of the stereo tooth model and the tooth image feature points, to adjust the preset tooth model feature points to conform to the tooth image feature points and further to form an adjusted stereo tooth model. Then, project the adjusted stereo tooth model to the face video. An image simulation device for orthodontics is also provided.

Abstract: An image display method executes on an electronic device.

Abstract: A measurement device adapted to cooperate with a three-dimensional image is provided. The three-dimensional image includes a plurality of three-dimensional positioning points. The measurement device comprises: a first camera unit for providing a two-dimensional image; an analysis module for analyzing the two-dimensional image to define a plurality of two-dimensional positioning points; a matching module for making the two-dimensional positioning points correspond to the three-dimensional positioning points, respectively, to generate a three-dimensional model; an input module for receiving a starting point and a destination in the two-dimensional image; a measurement module for obtaining first position information and second position information that correspond to the starting point and the destination respectively and calculating data; and an output module. A processor configured to execute a measurement method is also provided.

Abstract: An image display method executes on an electronic device.

Abstract: A distance measuring device for human body features is provided. The device comprises: an image capturing unit configured to capture a plurality of groups of human images of at least one part of human body in a time interval; an image processing unit configured to analyze to recognize a plurality of feature points in each group of the human images to generate three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point, calculate a deflection angle for each group of the human images, and generate a weight value. The processing unit has a weighted average calculation based on the weight values and the distances to generate a measurement result.

Abstract: An image simulation method for orthodontics is provided. First, receive a face video and capturing a face image from the face video and find a plurality of face feature points on the face image to determine a mouth area. Then, acquire a tooth image in the mouth area. Define a plurality of tooth image feature points according to the tooth image. Subsequently, compare a plurality of preset tooth model feature points of the stereo tooth model and the tooth image feature points, to adjust the preset tooth model feature points to conform to the tooth image feature points and further to form an adjusted stereo tooth model. Then, project the adjusted stereo tooth model to the face video. An image simulation device for orthodontics is also provided.

Abstract: A calibration method and a computer readable recording medium are provided. The calibration method is applied to an electronic device of an electronic system. The electronic system includes the electronic device and a broadcasting device. The calibration method comprises: obtaining device information of the broadcasting device to determine a type of the broadcasting device; providing a user interaction interface, and obtaining an interactive operation via the user interaction interface; generating a calibration command corresponding to the broadcasting device according to the interactive operation; and calibrating a broadcasting setting of the broadcasting device according to the calibration command.

Abstract: The present disclosure provides an electronic device, an image processing method and a non-transitory computer readable recording medium. The image processing method comprises: adjusting a position of at least one of multiple facial feature points on a facial three-dimensional model according to an adjustment instruction; adjusting the facial three-dimensional model correspondingly according to adjusted facial feature points to generate an adjusted facial three-dimensional model; and displaying the adjusted facial three-dimensional model.

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 calibration method and a computer readable recording medium are provided. The calibration method is applied to an electronic device of an electronic system. The electronic system includes the electronic device and a broadcasting device. The calibration method comprises: obtaining device information of the broadcasting device to determine a type of the broadcasting device; providing a user interaction interface, and obtaining an interactive operation via the user interaction interface; generating a calibration command corresponding to the broadcasting device according to the interactive operation; and calibrating a broadcasting setting of the broadcasting device according to the calibration command.

Abstract: A distance measuring device for human body features is provided. The device comprises: an image capturing unit configured to capture a plurality of groups of human images of at least one part of human body in a time interval; an image processing unit configured to analyze to recognize a plurality of feature points in each group of the human images to generate three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point, calculate a deflection angle for each group of the human images, and generate a weight value. The processing unit has a weighted average calculation based on the weight values and the distances to generate a measurement result.

Abstract: A measurement device adapted to cooperate with a three-dimensional image is provided. The three-dimensional image includes a plurality of three-dimensional positioning points. The measurement device comprises: a first camera unit for providing a two-dimensional image; an analysis module for analyzing the two-dimensional image to define a plurality of two-dimensional positioning points; a matching module for making the two-dimensional positioning points correspond to the three-dimensional positioning points, respectively, to generate a three-dimensional model; an input module for receiving a starting point and a destination in the two-dimensional image; a measurement module for obtaining first position information and second position information that correspond to the starting point and the destination respectively and calculating data; and an output module. A processor configured to execute a measurement method is also provided.

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 electronic device and a non-transitory computer readable storage medium are provided. After the real-time communication interface is enabled, the source filter obtains the image adjusting parameter when that the source filter is driven is detected. The source filter applies the image adjusting parameter to an image data captured by the image capturing unit, and then the adjusted image data is obtained. The real-time communication interface outputs the adjusted image data.

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 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: 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 computer device includes a controller, a power supply circuit and a universal serial bus (USB) module. The controller is used for transmitting a data signal. The power supply circuit is used for supplying operating power. The USB module includes a USB bridge and a core circuit. The USB bridge is used for transmitting the data signal, and it operates according to the operating power generated by the power supply circuit. The core circuit operates according to the operating power generated by the power supply circuit.