Abstract: A 3D facial reconstruction system includes a main color range camera, a plurality of auxiliary color cameras, a processor and a memory. The main color range camera is arranged at a front angle of a reference user to capture a main color image and a main depth map of the reference user. The plurality of auxiliary color cameras are arranged at a plurality of side angles of the reference user to capture a plurality of auxiliary color images of the reference user. The processor executes instructions stored in the memory to generate a 3D front angle image according to the main color image and the main depth map, generate 3D side angle images according to the 3D front angle image and the plurality of auxiliary color images, and train an artificial neural network model according to a training image, the 3D front angle image and 3D side angle images.

Abstract: The present invention provides a method and a device for image rectification, which are applied in the field of image processing. The method includes: receiving two images, the two images are images of a target object captured from different viewpoints; performing an epipolar rectification on the two images; rectifying the two images after the epipolar rectification based on the image contents; and splicing the two images after the rectification based on the image contents. The method can rectify the images captured from different viewpoints, thereby ensuring the pixel alignment, and avoiding visual discomfort to the viewer.

Abstract: The present invention provides a method and a device for image rectification, which is applied to the field of image processing. The method includes: receiving two images, wherein the two images are images of a target object captured at different viewpoints, and an image capturing device configured to capture the two images, includes a first image capturing device and a second image capturing device; determining positions of corresponding feature point pairs in the two images; and aligning the two images according to the positions of the feature point pairs and parameters of the first image capturing device and the second image capturing device. The above-mentioned method can rectify the images captured at different viewpoints, thereby ensuring the alignment of pixels, and avoiding visual discomfort of the viewer.

Abstract: A method and an apparatus for focusing are provided. The method includes: determining a switch from a first imaging mode to a second imaging mode, wherein the first imaging mode and the second imaging mode have different exposures; making illumination adjustment to a first feature template of a target object in the first imaging mode according to first illumination information of the target object in the first imaging mode and second illumination information of the target object in the second imaging mode to obtain a second feature template; and searching for the target object according to the second feature template in the second imaging mode.

Abstract: A method and an apparatus for focusing are disclosed. The method includes: determining a switch of imaging mode from a first imaging mode to a second imaging mode, wherein a position of an image of a target object in the first imaging mode is different from a position of an image of the target object in the second imaging mode; estimating the position of the image of the target object in the second imaging mode according to a resolution in the first imaging mode, a resolution in the second imaging mode, a field of view in the first imaging mode, a field of view in the second imaging mode and the position of the image of the target object in the first imaging mode; and searching for the image of the target object in the second imaging mode according to the estimated position.

Abstract: This invention provides a detection method and a device thereof which are applied to the field of image processing. The method includes: receiving an image of a target object, acquiring a type of the target object according to a first classifier and the image of the target object, and sending information containing the type of the target object to a display device. The method can automatically prompt a product type, thereby reducing the time of manual recognition and increasing the accuracy of the recognition.

Abstract: A semiconductor package including a prism sheet having dam structure disclosed. The semiconductor package includes a case having a wall configured for surrounding a space in which a semiconductor chip is installed, and a prism sheet having a prism surface consisting of a plurality of prism peaks and a plurality of prism valleys and a flat surface facing the prism surface, wherein the prism surface faces the semiconductor chip and the flat surface is coupled to a cover, wherein a dam extending in a direction different from an extending direction of the prism peak is formed on the prism surface.

Abstract: An apparatus for image processing includes a processor and a depth camera. The processor obtains a first two-dimensional image and focusing information of the first two-dimensional image, and obtains depth information of a part or all of a content captured in the first two-dimensional image via the depth camera. The processor determines a background area of the first two-dimensional image according to the focusing information. The processor also performs bokeh on the background area of the first two-dimensional image according to the depth information.

Abstract: The disclosure provides a method and device for three-dimensional reconstruction, applied to the field of image processing. The method includes: obtaining a first depth map, which is photographed by a first photographic device, and obtaining a second depth map, which is photographed by a second photographic device; merging the first depth map with a first three-dimensional model according to a position of the first photographic device to obtain a second three-dimensional model; and merging the second depth map with the second three-dimensional model according to a position of the second photographic device to obtain a third three-dimensional model.

Abstract: A method and an apparatus for focusing are disclosed. The apparatus includes: a determining module, configured to determine that an imaging mode switches from a first imaging mode to a second imaging mode; an image position estimating module, configured to estimate a position of an image of a target object on a picture taking device in the second imaging mode according to a position of an image of the target object on a picture taking device in the first imaging mode and a principle of epipolar geometry; and a searching module, configured to search for the image of the target object in the second imaging mode according to the estimated position of the image of the target object on the picture taking device in the second imaging mode.

Abstract: A method and an apparatus for pattern recognition is provided in the present invention, applied to the field of artificial intelligence. The method includes: acquiring a two-dimensional image of a target object and a two-dimensional feature of the target object according to the two-dimensional image of the target object; and acquiring a three-dimensional image of the target object and a three-dimensional feature of the target object according to the three-dimensional image of the target object; identifying the target object according to the two-dimensional feature and the three-dimensional feature of the target object. The method can reduce restrictions on acquiring the image of the target object, for example, reduce the restrictions on the image of the target object in terms of postures, lighting, expressions, make-up and occlusion, thereby improving an accuracy of recognizing the target object and improving a recognition rate and reducing recognition time at the same time.

Abstract: An image capturing system includes a first camera having a first lens, a second camera having a second lens, a third camera having a third lens, a fourth camera having a fourth lens, a fifth camera having a fifth lens, a sixth camera having a sixth lens, and a processor coupled to the six cameras. The processor generates an optimized image according to images captured by at least two of the six cameras. The first lens, the second lens, the third lens and the fourth lens are disposed adjacently. The first lens, the third lens, the fifth lens, and the sixth lens are disposed along a straight line. Fields of view of the first lens, the second lens, the third lens, and the fourth lens are the same.

Abstract: 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.

Abstract: The present invention provides a detection method and a detection device, which are applied in the field of image processing. The detection method includes: receiving a first image, wherein the first image includes at least one face; performing at least one of the following processing on the first image: detecting a left eye and/or a right eye of the face in the first image, estimating a position of the face relative to a camera device, and estimating an attitude of the face; and inputting the results of the processing into a first neural network to determine a line-of-sight of the face. The detection method and the detection device provided by the present invention enable a terminal to detect the line-of-sight of a user and/or other person.

Abstract: A method for image processing includes: receiving a third two-dimensional image and a depth image corresponding to the third two-dimensional image, wherein the third two-dimensional image and the depth image include a face; establishing a three-dimensional model of the face according to the depth image; rotating the three-dimensional model of the face by a first angle; projecting the three-dimensional model of the face rotated by the first angle to an image coordinate system of the third two-dimensional image; and building a three-dimensional model of a background region of the third two-dimensional image, processing a background region of an image projected to the image coordinate system of the third two-dimensional image to obtain a fourth image.

Abstract: A method and a device for image processing are disclosed. The method includes: receiving a first image, wherein the first image includes a face; detecting the face and a background region in the first image, establishing a three-dimensional model of the face according to the first image; rotating the three-dimensional model of the face by a first angle; and projecting the three-dimensional model of the face rotated by the first angle to an image coordinate system of the first image and fusing a face region with a processed background region to obtain a second image.

Abstract: An operating method includes generating a first depth map by at least a first depth capture device, generating a second depth map by at least a second depth capture device, performing image registration on the first depth map with the second depth map to obtain transformed coordinates in the second depth map corresponding to pixels in the first depth map, and aligning depth data of the first depth map and depth data of the second depth map to generate an optimized depth map according to the transformed coordinates in the second depth map corresponding to the pixels in the first depth map.

Abstract: The present invention provides a method and a device for calibration applied to the field of image processing. The method includes: acquiring a common two-dimensional image and an infrared image of a calibration object, wherein the calibration object carries a first pattern; calculating coordinates of the first pattern in the common two-dimensional image, acquiring coordinates of the first pattern in a global coordinate system, and calculating intrinsic parameters of a first camera device capturing the common two-dimensional image; and calculating coordinates of the first pattern in the infrared image, acquiring the coordinates of the first pattern in the global coordinate system, and calculating intrinsic parameters of a second camera device capturing the infrared image. The method for calibration is capable of enhancing calibration efficiency by a simple calibration method when calibrating a depth camera device.

Abstract: The present invention provides a method and a device for image processing, which are applied to the field of image processing. The method includes: receiving a first image, wherein the first image includes a face; detecting the face and a background region in the first image, establishing a three-dimensional model of the face according to the first image; rotating the three-dimensional model of the face by a first angle; projecting the three-dimensional model of the face rotated by the first angle to an image coordinate system of the first image, and fusing a face region with a processed background region to obtain a second image. The prevent invention provides a method and device for image processing, which can adjust the angle of a face in a captured image to achieve the effect of face enhancement.

Abstract: Provided are a frame processing method and device for use in image processing. The method includes: receiving a first frame by a first processing unit; sending, by the first processing unit and before receiving a second frame processed with a third processing unit, the first frame to a second processing unit, followed by processing the first frame with the second processing unit or processing the first frame with the second processing unit and another processing unit; and receiving a third frame by the first processing unit before the first processing unit receives the first frame processed with the second processing unit or the first frame processed with the second processing unit and the other processing unit. The method precludes frame hysteresis, at a fixed frame rate and with invariable frame processability of each frame.