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: Provided is a flexible display structure, including a reinforcing strip, and a flexible display panel and a supporting layer that are laminated. The flexible display panel is provided with a first surface and a second surface opposite to each other, and a first side surface connecting the first surface and the second surface, and the reinforcing strip is disposed on the first side surface and configured to adhere the flexible display panel to the supporting layer.

Abstract: The present invention discloses a disparity estimation optimization method based on upsampling and exact rematching, which conducts exact rematching within a small range in an optimized network, improves previous upsampling methods such as neighbor interpolation and bilinear interpolation for disparity maps or cost maps, and works out a propagation-based upsampling method by the way of network so that accurate disparity values can be better restored from disparity maps in the upsampling process.

Abstract: A lamination device includes: an elastic lamination seat, including a deformation bearing portion, the deformation bearing portion including a bearing surface for bearing a to-be-laminated flexible display panel, and the bearing surface being configured as a curved surface protruding towards the cover plate; an auxiliary bearing film, configured to pre-bend and fix the to-be-laminated flexible display panel onto the bearing surface when the elastic lamination seat is in a natural state; and a driving mechanism, connected to the elastic lamination seat and configured to drive the elastic lamination seat to move towards or away from the cover plate, wherein when the driving mechanism drives the elastic lamination seat to move towards the cover plate, the elastic lamination seat is squeezed to produce elastic deformation and the bearing surface gradually laminates the flexible display panel onto the cover plate from the middle to two sides.

Abstract: The disclosure provides a support for a flexible display module, a display module and a device. The support for the flexible display module comprises metal layers and supporting layers arranged with one above another, and is characterized in that each metal layer comprises non-patterned areas and patterned areas, the patterned area is a notch and/or a micro-hole etching area arranged on the metal layer, and a filling layer is arranged in the notch.

Abstract: The present invention discloses a disparity estimation method for weakly supervised trusted cost propagation, which utilizes a deep learning method to optimize the initial cost obtained by the traditional method. By combining and making full use of respective advantages, the problems of false matching and difficult matching of untextured regions in the traditional method are solved, and the method for weakly supervised trusted cost propagation avoids the problem of data label dependency of the deep learning method.

Abstract: The present invention discloses a method for constructing a grid map by using a binocular stereo camera. A high-performance computing platform is constructed by using a binocular camera and a GPU, and a high-performance solving algorithm is constructed to obtain a high-quality grid map containing three-dimensional information. The system in the present invention is easy to construct, so the input data may be collected by using the binocular stereo camera; the program is simple and easy to implement. According to the present invention, the grid height is calculated by using spatial prior information and statistical knowledge, so that a three-dimensional result is more robust; and according to the present invention, the adaptive threshold of grids is solved by using spatial geometry, filtering and screening of the grids are completed, and thus the generalization ability and robustness of the algorithm are improved.

Abstract: The present invention discloses a grid map obstacle detection method fusing probability and height information, and belongs to the field of image processing and computer vision. A high-performance computing platform is constructed by using a GPU, and a high-performance solving algorithm is constructed to obtain obstacle information in a map. The system is easy to construct, the program is simple, and is easy to implement. The positions of obstacles are acquired in a multi-layer grid map by fusing probability and height information, so the robustness is high and the precision is high.

Abstract: The present invention discloses a disparity estimation method for weakly supervised trusted cost propagation, which utilizes a deep learning method to optimize the initial cost obtained by the traditional method. By combining and making full use of respective advantages, the problems of false matching and difficult matching of untextured regions in the traditional method are solved, and the method for weakly supervised trusted cost propagation avoids the problem of data label dependency of the deep learning method.

Abstract: The present invention discloses a large-field-angle image real-time stitching method based on calibration, and belongs to the field of image processing and computer vision. First, a calibration algorithm is used to solve the positional relationship between cameras, and the prior information is used to solve a homography matrix between images.

Abstract: The present invention discloses a method for constructing a grid map by using a binocular stereo camera. A high-performance computing platform is constructed by using a binocular camera and a GPU, and a high-performance solving algorithm is constructed to obtain a high-quality grid map containing three-dimensional information. The system in the present invention is easy to construct, so the input data may be collected by using the binocular stereo camera; the program is simple and easy to implement. According to the present invention, the grid height is calculated by using spatial prior information and statistical knowledge, so that a three-dimensional result is more robust; and according to the present invention, the adaptive threshold of grids is solved by using spatial geometry, filtering and screening of the grids are completed, and thus the generalization ability and robustness of the algorithm are improved.

Abstract: The present invention discloses a multispectral stereo camera self-calibration algorithm based on track feature registration, and belongs to the field of image processing and computer vision. Optimal matching points are obtained by extracting and matching motion tracks of objects, and external parameters are corrected accordingly. Compared with an ordinary method, the present invention uses the tracks of moving objects as the features required for self-calibration. The advantage of using the tracks is good cross-modal robustness. In addition, direct matching of the tracks also saves the steps of extraction and matching the feature points, thereby achieving the advantages of simple operation and accurate results.

Abstract: The present invention discloses a multispectral camera external parameter self-calibration algorithm based on edge features, and belongs to the field of image processing and computer vision. Because a visible light camera and an infrared camera belong to different modes, fewer satisfactory point pairs are obtained by directly extracting and matching feature points. In order to solve the problem, the method starts from the edge features, and finds an optimal corresponding position of an infrared image on a visible light image through edge extraction and matching. In this way, a search range is reduced and the number of the satisfactory matched point pairs is increased, thereby more effectively conducting joint self-calibration on the infrared camera and the visible light camera. The operation is simple and results are accurate.

Abstract: A backlight source, a liquid crystal module, and a display device are provided. The backlight source includes a back plate and a plurality of support structures. The back plate includes a side wall and a bottom plate, and the side wall and the bottom plate define a first groove. A plurality of the support structures are arranged along a circumferential direction of the side wall and spaced apart from each other. The support structure is detachably connected to the side wall, and extends toward a center of the accommodation groove to form a support plane.

Abstract: A multispectral camera dynamic stereo calibration algorithm is based on saliency features. The joint self-calibration method comprises the following steps: step 1: conducting de-distortion and binocular correction on an original image according to internal parameters and original external parameters of an infrared camera and a visible light camera. Step 2: Detecting the saliency of the infrared image and the visible light image respectively based on a histogram contrast method. Step 3: Extracting feature points on the infrared image and the visible light image. Step 4: Matching the feature points extracted in the previous step. Step 5: judging a feature point coverage area. Step 6: correcting the calibration result. The present invention solves the change of a positional relationship between an infrared camera and a visible light camera due to factors such as temperature, humidity and vibration.

Abstract: The present invention relates to the preparation field of azoxystrobin, and discloses a preparation method for a compound represented by formula (I). The method comprises the following steps: (1) a compound represented by formula (II) is hydrolyzed in a solvent under acidic conditions to obtain a compound represented by formula (III); and (2) the compound represented by formula (III) is reacted with a base and a methylating agent to obtain the compound represented by formula (I); in the formula, R3 is hydrogen or C1-C4 alkyl, and R4 is C1-C4 alkyl. The process for preparing azoxystrobin of the present invention not only successfully replaces trimethyl orthoformate and reduces the raw material cost, but also has high total reaction yield, and is suitable for industrial large-scale production. Experiments have proven that the yield of the prepared azoxystrobin can reach 95%.

Abstract: The present invention provides a method of dense 3D scene reconstruction based on monocular camera and belongs to the technical field of image processing and computer vision, which builds the reconstruction strategy with fusion of traditional geometry-based depth computation and convolutional neural network (CNN) based depth prediction, and formulates depth reconstruction model solved by efficient algorithm to obtain high-quality dense depth map. The system is easy to construct because of its low requirement for hardware resources and achieves dense reconstruction only depending on ubiquitous monocular cameras.

Abstract: The present application provides a display panel and a display device. The display panel includes an array substrate and a color filter substrate arranged oppositely, and a light source on a side of the color filter substrate facing the array substrate. The color filter substrate includes a first region and a second region. An orthogonal projection of the array substrate on the color filter substrate is in the first region, and the light source is in the second region.

Abstract: The present disclosure provides an array substrate and a display device. The array substrate includes: a base substrate; and a plurality of pixel units disposed on the base substrate; each of the pixel units includes an active display region, the active display region of at least one of the pixel units is provided with a light-shielding layer, the light-shielding layer is located at an edge of the active display region, and a surface of a side of the light-shielding layer away from the base substrate is a reflecting surface. The light-shielding layer is disposed within an annular region, the annular region has a width in a range of 20 ?m-50 ?m, and an outer boundary of the annular region is a boundary of the active display region.

Abstract: An antenna system, includes a first substrate, a plurality of chips, and a waveguide antenna element based beam forming phased array. The waveguide antenna element based beam forming phased array includes a plurality of radiating waveguide antenna cells. Each radiating waveguide antenna cell includes a plurality of pins that are connected to ground. A body of each radiating waveguide antenna cell corresponds to the ground. The plurality of chips are electrically connected with the plurality of pins and the ground of each of the plurality of radiating waveguide antenna cells to control beamforming through a second end of the plurality of radiating waveguide antenna cells.