19 results about "Image View" patented technology

A transparent display apparatus according to one embodiment of the present disclosure comprises a substrate including a display area, which includes a transmissive area and a non-transmissive area adjacent to the transmissive area. A plurality of subpixels is arranged in the non-transmissive area. A plurality of inorganic films is provided in the non-transmissive area and forms a step due to process variation. A planarization layer covers the plurality of inorganic films and partially includes a light path changing portion. The light path changing portion is configured to change the path of light incident on or passing through the transmissive area, thereby reducing diffraction caused by the step and improving clarity of objects or images viewed through the transmissive area. This structure may enhance optical performance in transparent regions while maintaining uniformity and efficiency in light emission across the display area.

An acquisition unit 11 acquires a plurality of captured image data items indicating images of a subject captured from a plurality of different viewpoints by an imaging device. A high-quality image data generation unit 12 generates high-quality image data in which the quality of the captured image data acquired by the acquisition unit 11 has been improved. On the basis of the high-quality image data generated by the high-quality image data generation unit 12, a three-dimensional reproduction model generation unit 13 generates a three-dimensional reproduction model using Gaussian plotting. A rendering unit 14 uses the three-dimensional reproduction model to generate rendering image data in which an image viewed from an arbitrary viewpoint in a three-dimensional space is rendered. A low-quality reproduction model generation unit 15 lowers the quality of the image rendered by the three-dimensional reproduction model, and generates a low-quality reproduction model for rendering an image approximating an image indicated by the captured image data actually acquired by the acquisition unit 11. A difference calculation unit 16 calculates a difference between the rendering image data generated by the rendering unit 14 and the high-quality image data generated by the high-quality image data generation unit 12, and a difference calculation unit 17 calculates a difference between the captured image data acquired by the acquisition unit 11 and the low-quality image data rendered by using the low-quality reproduction model generated by the low-quality reproduction model generation unit 15. An adding unit 18 adds the difference calculated by the difference calculation unit 16 and the difference calculated by the difference calculation unit 17. Then, the three-dimensional reproduction model generation unit 13 and the low-quality reproduction model generation unit 15 update the models generated by the respective units so that the addition result supplied from the addition unit 18 con

The utility model discloses a kind of multi-angle display devices for digital innovation achievements, it is related to LDE holographic fan technical field, including fixed seat and the mounting seat of being set to one side of fixed seat, the side of fixed seat close to mounting seat is equipped with power supply coil, the side of mounting seat close to fixed seat is equipped with power receiving coil, the side of mounting seat away from fixed seat is equipped with cross slot;The utility model changes the morphology of traditional holographic fan straight fan blade by adopting the design of arc-shaped beam with radian, when the device high-speed rotates imaging, the light-emitting surface of arc can uniformly scatter light in larger angular range, so that different orientation audience can receive relatively complete and coherent image light, effectively reduce the viewing angle limitation caused by fan blade linear form, greatly widen the effective viewing range of audience, improve the holographic image viewing experience of multi-direction audience.

This application discloses an image annotation reliability prediction method, apparatus, electronic device, and storage medium. The method includes: acquiring a local image region related to the annotation result; acquiring visual features related to the annotation result based on the local image region; calculating the similarity between the local image region, the visual features, and the annotator's historical annotation results; and predicting the reliability of the annotator's current annotation result. This application utilizes multiple quantitative indicators of local image regions and visual features to analyze the annotation result. By calculating the similarity between the current image viewing result and historical annotation content, the reliability of the current image viewing result is predicted, achieving an objective and unified evaluation of subjective results.

An aircraft inflight entertainment (IFE) system includes an IFE controller operative to route entertainment content through at least one cabin communication network to seat video display units and / or to portable electronic devices. The IFE system also includes an augmented reality (AR) headset manager operative to determine location of an AR headset relative to physical features of the cabin, and to provide the determined location of the AR headset to the IFE controller. The IFE controller generates AR information based on the determined location of the AR headset, and communicates the AR information through the at least one cabin communication network to the AR headset for display as an augmented reality image overlaid on a real-world image viewed through the AR headset.

Embodiments of the present application provide a light field 3D splicing view area correction method, device and related equipment, wherein the method comprises: dividing a plurality of target view areas and determining the corresponding standing probability of each target view area according to target scene information and related information of a plurality of target splicing screens; performing corresponding correction operations on the plurality of target view areas to generate a corrected view point pixel mapping sequence; determining a target view point pixel mapping sequence according to the view point pixel mapping sequence and the standing probability; and performing a target light field 3D splicing view area correction operation according to the target view point pixel mapping sequence. The above method can compensate for multi-dimensional errors in the light field 3D splicing display process, thereby reducing the deviation between the ideal light path and the actual light path, avoiding light crosstalk between different view points, and further avoiding problems such as misalignment, blurring and discontinuous view areas in the light field image viewed by the viewer through the splicing screen, so as to improve the light field image splicing quality.

Ultrasound image devices, systems, and methods are provided. In one embodiment, a guidance system for obtaining a medical image includes a processor configured to obtain a motion control configuration for repositioning an imaging device from a first imaging position to a second imaging position with respect to a subject's body, the motion control configuration obtained based on a predictive network, an image of the subject's body captured while the imaging device is positioned at the first imaging position, and a target image view including a clinical property; and a display in communication with the processor and configured to display an instruction, based on the motion control configuration, for operating a control component in communication with the imaging device such that the imaging device is repositioned to the second imaging position.

The application discloses a kind of for left auricle plugging operation navigation multi-modal image automatic registration method, comprising the following steps: collecting structural heart disease intervention surgery patient preoperative CTA image and intraoperative CBCT image;Using U-Net deep learning framework, the heart region in CTA image and CBCT image is segmented and extracted, and the extracted image region is carried out data enhancement and size normalization etc.Pretreatment operation;With the network of depth convolution and visual Transformer fusion, the heart region image of CTA and CBCT is calculated Affine transformation matrix, so that the CTA image and CBCT image realize 3D affine registration;The image after registration is filled to the cutting region of the CBCT image, and the intraoperative CBCT image containing heart anatomical structure information is generated.The method of the application can realize the automatic, fast and accurate spatial registration of preoperative CTA image and intraoperative CBCT image, and the fusion image view generated by registration provides comprehensive reference for the heart three-dimensional anatomical structure and real-time instrument position, effectively assists instrument positioning, path planning and size selection, and provides a new intelligent tool for left auricle plugging operation navigation.

This provides a technique advantageous for assigning attribute information to 3D models. In an information processing method for assigning attribute information to a 3D model of an object, the area and normal direction of each face of the 3D model are calculated, the viewing direction is determined based on the calculated area size and normal direction, an image of the 3D model viewed from the viewing direction is acquired, and the image viewed from the viewing direction is input to a trained model that outputs attribute information from input images to obtain attribute information of the 3D model and assign attribute information to the 3D model.

The application provides a two-axis sample stage for a scanning electron microscope and the scanning electron microscope, wherein the two-axis sample stage comprises a door for covering an opening of a sample chamber, an electric drive assembly arranged on one side of the door, and a sample stage assembly arranged on the other side of the door, the sample stage assembly being used for placing a sample, and the electric drive assembly being in transmission connection with the sample stage assembly. The two-axis sample stage is configured such that the electric drive assembly can drive the sample stage assembly to move so as to send the sample at different positions on the sample stage assembly to an observation position. In the technical scheme, the electric drive assembly and the sample stage assembly are arranged on the two sides of the door, and after the door covers the opening of the sample chamber, the sample stage assembly is located in the sample chamber and the electric drive assembly is located outside the sample chamber, thereby reducing the influence of the magnetic field generated by the electric drive assembly during operation on the electron beam in the sample chamber, and thus the image viewing and photographing effects can be improved.

The present application belongs to the technical field of deformation detection, and specifically relates to a lens surface optical reflection image deformation detection method, which comprises collecting the structural parameters and environmental light field data of the lens to be detected. The interference effect of the structural parameters on the mirror reflection light is analyzed to obtain mirror optical measurement data, the optical surface composite features are extracted from the mirror optical measurement data, and a surface topography reconstruction model is constructed. An error transfer function based on the coupling relationship between the film thickness change and the phase mutation is constructed. The parasitic light field interference is compensated in reverse based on the error transfer function, the real surface phase gradient field is extracted, the surface topography reconstruction model is input, and the data fusion calibration is performed in combination with the multi-directional reflection imaging viewing angle to obtain the deformation evaluation result. The present application can adapt to the detection requirements of different types of lenses, reduce the detection errors caused by parasitic reflection and multiple reflections, and improve the lens surface reflection image deformation detection precision.

A candidate set production method based on multi-view hints, comprising the following steps: 1) multi-view hint acquisition; multi-dimensional information strongly related to the task is extracted from two types of modalities of image views and text hints; 2) candidate set generation; 2.1) single-modal candidate set generation; 2.2) multi-modal candidate set fusion; single-modal candidate sets are integrated into multi-modal candidate sets by using multi-modal embedding and / or joint attention mechanism, and complementary integration of image and text information is realized; 2.3) answer post-processing; one or more operations of merging, filtering and sorting are performed on the fused multi-modal candidate sets; 3) final answer selection; the final answer selection is determined by confidence evaluation and answer verification on the multi-modal candidate sets. The application introduces a multi-level contrast learning framework; the framework fuses global semantic contrast on the whole level and local feature contrast on the detail level, aiming to significantly reduce the analysis error and improve the reliability of the output result.

This invention provides a vehicle display system that can identify the height difference between the vehicle's contact surface and the road surface. [Solution] The vehicle display system comprises a plurality of on-board cameras that each capture the front, rear, left, and right areas of the vehicle, an image processing device that converts the original images captured by the plurality of on-board cameras into overhead images viewed from a virtual viewpoint above the vehicle, and a display device that displays the overhead images on a monitor screen, wherein the system includes a plurality of detection devices that detect the height from the vehicle's ground contact surface to the road surface at each of a plurality of grid points arranged in a grid pattern when the vehicle is viewed from the virtual viewpoint, and the display device displays grid-like auxiliary lines passing through the plurality of grid points superimposed on the overhead image on the monitor screen, and displays the height from the vehicle's ground contact surface to the road surface at each of the plurality of grid points in a way that can be identified by color attributes.

Systems and methods described herein relate to scene scale normalization in multi-view depth estimation. One embodiment is a system that receives input image views from a plurality of cameras and, for each camera in the plurality of cameras, camera intrinsics and camera extrinsics. The system also normalizes the scene scale of the input image views to produce scene-scale-normalized input image views. The system also processes the scene-scale-normalized input image views using a machine-learning-based multi-view depth-estimation model to generate a scene-scale-normalized depth map. The system also injects the scene scale back to the scene-scale-normalized depth map to generate a multi-view-consistent depth map that has the scene scale. The system also controls, at least in part, the operation of a robot based on the multi-view-consistent depth map.

Embodiments of the present disclosure relate to a user matching interaction method and device, equipment and medium, wherein the method is applied to a first client, comprising: receiving a matching trigger operation of a first user, displaying an initial image of the first user, and sending a matching request to a server to enable the server to determine a second user matched with the first user based on an image matching rule, and establish a data transmission channel between the first client and a second client where the second user is located; obtaining an identifier of the data transmission channel, performing image sharing interaction with the second client based on the identifier of the data transmission channel, and switching the initial image to a target image, the target image being an image of common interest to the first user and the second user. The matching dimension of the embodiments of the present disclosure is expanded to the image level, so that there are more common topics between the two users matched, and the images viewed by the users before and after the interaction are switched from personal images to images of common interest to the two users, thereby improving the interaction experience effect.

The application discloses a kind of laser radar and visual camera fusion target detection method and system, the target detection method includes: obtaining laser radar point cloud data expressed in space spherical coordinate system;Point cloud data under space spherical coordinate system is carried out view cone gridding processing;From the point cloud view cone grid obtained, the feature extraction of point cloud data is carried out, and image view cone grid feature is obtained;Image view cone grid feature is fused with the feature of visual image obtained by visual camera, and fusion image is obtained, and target detection is carried out by fusion image.The application can effectively solve the problem that the depth information of visual image is easy to be missing in the existing fusion detection method, the probability depth obtained by fitting visual image pixel points is low efficient and unreliable, and can effectively solve the problem that the spatial information in Z-axis direction is not fully utilized in the existing fusion detection method, resulting in feature loss, and is especially suitable for the field of autonomous driving.

A projector includes a housing having a first wall part facing a projection target surface, a second wall part facing an opposite side to the first wall part, a third wall part and a fourth wall part facing respective sides opposite to each other, a first speaker disposed in a first corner part of the housing, and a second speaker disposed in a second corner part of the housing, wherein a first output surface for outputting a sound wave in the first speaker tilts toward the third wall part in an angle range larger than 45 degrees and smaller than 90 degrees with reference to the second wall part, and a second output surface for outputting a sound wave in the second speaker tilts toward the fourth wall part in an angle range larger than 45 degrees and smaller than 90 degrees with reference to the second wall part.

The application discloses a kind of multi-aperture optical panoramic image view enhancement method, for under the condition of limited optical field of view, the purpose of realizing large scene target monitoring by multi-aperture optical array image splicing technology, specifically includes the following steps: 1) obtaining multi-aperture image;2) format conversion is carried out to multi-aperture image;3) statistics single-aperture image histogram and multi-aperture image histogram;4) the calibration base value of this aperture is calculated by single-aperture image histogram;5) the segmentation threshold of highlight and low light area is calculated by multi-aperture image histogram;6) the calibration parameter of panoramic image is calculated;7) real-time calibration is carried out to panoramic image using calibration parameter.