Abstract: A lead frame for an optocoupler is provided, which is a metal sheet and includes multiple frame units and multiple mutually parallel connecting strips. The frame units are arranged at intervals on each of the connecting strips. Each of the frame units includes two adjacent functional parts, and two pins perpendicularly connected to the connecting strip. The two functional parts are both located on one side of the connecting strip and are respectively connected to the two pins and ends of the two pins are located on the other side of the connecting strip. The area of each of the functional parts is sufficient to accommodate a chip to be installed and fixed, and the chip is any one of a light-emitting chip and a light-sensing chip.

Abstract: A micro-displacement measurement system having a picometer scale resolution and a measurement method. The measurement system comprises a probe module, a demodulation optical path module, a static lock-in amplification module, an upper computer module, and a micro-displacement drive module. The probe module comprises a measurement FBG sensor, a matching FBG sensor, a precision stainless steel needle tube, and an external support; the demodulation optical path module comprises an ASE broadband light source, a first circulator, a second circulator, and an InGaAs photodetector; the upper computer module comprises a data acquisition card and a computer; and the micro-displacement drive module comprises a piezoelectric ceramic nano-positioner, a piezoelectric ceramic driver, a three-dimensional precision micro-motion platform.

Abstract: Provided are an optical lens, a camera module and a front camera. From an object side to an Imaging plane, the optical lens sequentially includes: a stop; a first lens having a positive focal power and a concave object side surface; a second lens having a negative focal power and a concave image side surface; a third lens having a positive focal power, a convex object side surface and a concave image side surface; a fourth lens having a positive focal power, a concave object side surface and a convex image side surface; a fifth lens having a negative focal power. An entrance pupil diameter EPD of the optical lens is smaller than 1.58 mm, and the maximum distance between the projection of an entrance pupil and the projection of the object side surface of the first lens on the optical axis is greater than 0.17 mm.

Abstract: Disclosed are an optical lens, a camera module and a terminal camera. From an object side to an image side, the optical lens include: a first lens with a negative focal power, which has a convex object side surface and a concave image side surface; a stop; a second lens with a positive focal power, which has a convex object side surface and a concave image side surface; a third lens with a positive focal power, which has a convex object side surface and a concave image side surface; a fourth lens with a positive focal power, which has a convex object side surface and a convex image side surface; a fifth lens with a negative focal power, an object side surface of the fifth lens is convex at a paraxial region and an image side surface of the fifth lens is concave at a paraxial region; and a filter.

Abstract: A disparity image fusion method for multiband stereo cameras belongs to the field of image processing and computer vision. The method obtains pixel disparity confidence information by using the intermediate output of binocular disparity estimation. The confidence information can be used to judge the disparity credibility of the position and assist disparity fusion. The confidence acquisition process makes full use of the intermediate output of calculation, and can be conveniently embedded into the traditional disparity estimation process, with high calculation efficiency and simple and easy operation. In the disparity image fusion method for multiband stereo cameras proposed by the method, the disparity diagrams participating in the fusion are obtained according to the binocular images of the corresponding bands, which makes full use of the information of each band and simultaneously avoiding introducing uncertainty and errors.

Abstract: A residual coding method is provided. The method comprises: when the current frame is an inter-frame prediction frame, determining whether a residual of a background region in the current frame needs to be compensated for; and when the residual of the background region in the current frame needs to be compensated for, coding first residual data, and when the residual of the background region in the current frame does not need to be compensated for, coding second residual data, wherein the first residual data is residual data of an entire image of the current frame, and the second residual data is residual data of a target region in the current frame. The present disclosure further provides a video coding method using the residual coding method, and corresponding devices and a storage medium.

Abstract: A video coding method includes the following. A bitstream is decoded to obtain a feature map of a target object in a current picture. The feature map of the target object in the current picture is input to a visual task network and a prediction result output by the visual task network is obtained.

Abstract: A method and apparatus for generating a virtual character, an electronic device and a computer readable storage medium are provided. The method includes: performing mesh simplification on an initial model of a virtual character to obtain a mesh-simplified model; obtaining a first target model by performing white model mapping rendering on an area of each material type on the mesh-simplified model, and obtaining a second target model by performing hyper-realistic rendering on the area of each material type on the mesh-simplified model; and establishing a bidirectional mapping between the first target model and the second target model, and obtaining a target virtual character through iterative updating of the bidirectional mapping.

Abstract: A learned image compression system increases compression efficiency by using a novel conditional context model with embedded autoregressive neighbors and hyperpriors, which can accurately estimate the entropy rate for rate distortion optimization. Generalized Divisive Normalization (GDN) in Residual Neural Network is used in the encoder and decoder networks for fast convergence rate and efficient feature representation.