31 results about "Near sight" patented technology

The invention discloses a video stream defogging method and system for 5G remote control, and relates to the technical field of image enhancement. The method comprises the following steps: acquiring a foggy video in real time; inputting the single-frame foggy video into a pre-trained monocular depth estimation neural network, and reasoning to obtain a depth map with the same size as the input single-frame foggy video; performing close-shot and long-shot region division on the scene of the current foggy video frame according to the depth map to obtain a region mask with the same size as the depth map; based on the region mask and the foggy video, calculating to obtain an atmospheric light parameter; calculating the transmissivity of each pixel according to the distance estimation result of each pixel in the depth map, and obtaining a transmissivity map with the same size as the depth map; based on the depth map, the atmospheric light parameters and the transmissivity map, adaptive calculation is performed on the foggy video to realize defogging, and a defogged clear video frame is obtained; the method can adapt to different depth-of-field fog effects, realizes different depth-of-field defogging, and outputs clear video frames.

This application relates to the field of image detection technology, specifically to a method, device, and system for pedestrian trajectory tracking across cameras. Specifically, it includes: dividing a surveillance image into far-field, mid-field, and near-field regions; analyzing the imaging characteristics of moving pedestrians in different regions to construct regional change coefficients for far-field and near-field regions at different time periods; constructing motion change influence coefficients for each region by analyzing the pixel feature changes of clusters within the surveillance image during pedestrian movement and the grayscale changes of each pixel over time; determining the tracking region in each far-field and near-field region based on the regional change coefficients and motion change influence coefficients; reducing the hard threshold for denoising in the tracking region and mid-field region to retain more image details, thereby performing pedestrian trajectory tracking; avoiding the problem that traditional denoising algorithms use the same denoising parameters for the entire image, which may smooth the pedestrian's features during denoising, affecting the accuracy of pedestrian recognition.

The application discloses a kind of dynamic ring vision splicing method and system based on image overlap area feature perception, method includes based on the depth information and the feature information dynamic planning splicing path;According to the splicing path of planning, image splicing is executed, including the multi-band image fusion based on depth perception.The present application extracts local and global features of the overlapping area and calculates pixel-level depth information, constructs a geometric transformation model optimized by feature-depth combination, so that panoramic stitching can accurately identify the outline of close-range objects, and dynamically plan the optimal stitching line to bypass prominent objects;By searching the distance splicing template based on the real distance and automatically unifying the focal length of each camera, the field of view range is kept consistent;Through the multi-scale depth estimation network guided by features and joint reprojection error optimization, high-precision registration can still be maintained in scenes with few feature points or low overlap areas.

The utility model discloses a synchronous imaging teaching instrument with multiple cameras and multiple display screens, and belongs to the field of medical teaching instruments. Comprising a supporting seat, a host, a first lens module, a second lens module, a first display screen and a second display screen, the host, the first lens module, the second lens module, the first display screen and the second display screen are all installed on the supporting seat, and the first lens module, the second lens module, the first display screen and the second display screen are all in communication connection with the host. Compared with the prior art, the first lens module can be used for long-shot shooting, and the second lens module can be used for close-shot shooting, so that students can conveniently watch a panorama of anatomy teaching and can conveniently watch details of anatomy teaching; meanwhile, the first display screen and the second display screen can display shot pictures of the first lens module and the second lens module in a split-screen mode, and can shoot and display panoramic and local key parts of anatomy teaching at the same time.

The invention relates to an optical lens, a camera module and electronic equipment. The optical lens comprises a first group, a second group and a third group, and the focal power of the first group is opposite to that of the second group. The first group includes at least two lenses. The second group includes at least one lens. The third group includes light folding elements. The light emitted from the first group sequentially passes through the second group and the light folding element, and the light is reflected for multiple times in the light folding element. The first group is a first group, the second group is a focusing lens group, and in the focusing process of the optical lens from long shot to close shot, the distance between the first group and the second group is increased, and the distance between the second group and the third group is reduced. The optical lens meets the following condition: FOV is less than 50 degrees, FOV is a field angle of the optical lens in the first focusing state, and the working object distance in the first focusing state is the maximum working object distance of the optical lens. The optical lens provided by the embodiment of the invention has the characteristic of miniaturization, can realize shooting in a long-shot state and a micro-distance state, and has good imaging quality.

The present application relates to the technical field of lighting control, in particular to a landscape lighting dynamic control method based on environment perception data, the present application collects the reflected light radiation of the lighting object at the preset observation position, and compares the reflected light radiation with the reference radiation to obtain the reflected light radiation deviation rate; the surface optical state of the lighting object is identified according to the time series change trend of the deviation rate, and the intermediate state hosting mode is entered during the state transition; after completing the surface optical state switching, the corresponding projection adjustment parameter is obtained by searching the state-projection geometric relationship database; at the same time, hierarchical power compensation control is performed based on the brightness contribution proportion of the near, middle and far layers to generate device control instructions. The method can improve the adaptability of landscape lighting to environmental changes, enhance the visual level coordination and lighting stability.

The invention discloses an AF module far and near scene linear region distribution detection method and system and a terminal, and solves the problem of burning failure caused by the fact that far and near scene codes of a product are not distributed in a motor linear region when far and near scene codes are burned in advance, and the method comprises the steps: respectively selecting distances corresponding to two strokes in the total stroke of a far scene and a near scene, and obtaining a middle scene stroke; selecting a corresponding medium-scene distance from the depth-of-scene table according to the medium-scene travel to serve as a test environment; performing center MTF peak value test on the middle-scene distance and the far-and-near-scene distance to obtain corresponding code values; respectively calculating the sensitivity of the voice coil motor according to the stroke value and the code value, judging whether the far and near scenes of the AF module are in a linear region or not, and adjusting the AF module according to the judgment result. Whether far and near scene codes are respectively distributed in a linear area or not is judged in advance in a station before PDAF burning, and corresponding measures can be taken for adjustment according to a result, so that the burning yield of a subsequent PDAF burning station is improved.

Figure 1.7 is an enlarged view of part A in Figure 1.1. Figure 1.9 is an enlarged view of part B in Figure 1.8. Figure 1.11 is an enlarged view of part C in Figure 1.10. Figure 1.13 is an enlarged view of part D in Figure 1.12. Figure 1.15 is an enlarged view of part E in Figure 1.14. Figure 1.17 is an enlarged view of part F in Figure 1.16. Figure 1.19 is an enlarged view of part G in Figure 1.18. Figure 1.21 is an enlarged view of part H in Figure 1.20. The design in question relates to a tire, and in particular to the tread pattern of a tire. 1.1) Front view; 1.2) Rear view; 1.3) Left side view; 1.4) Right side view; 1.5) Top view; 1.6) Bottom view; 1.7) Close-up view; 1.8) Perspective view; 1.9) Close-up view; 1.10) Perspective view; 1.11) Close-up view; 1.12) Perspective view; 1.13) Close-up view; 1.14) Perspective view; 1.15) Close-up view; 1.16) Perspective view; 1.17) Close-up view; 1.18) Perspective view; 1.19) Close-up view; 1.20) Perspective view; 1.21) Close-up view

The present application relates to a kind of pronghorn identification system, method, processing device and storage medium based on video tracking, the system includes: data input interface, for receiving the video or image data stream from one or more camera equipment;Data type judging module is used to judge the data type of video or image data stream based on the meta information of video or image data stream;Refinement individual analysis channel is used to accurately track the individual of pronghorn in video or image data stream, trajectory optimization and behavior analysis are carried out to near view data, and the refinement individual analysis result of pronghorn is obtained;Macroscopic group analysis channel is used to carry out population statistics and rhythm analysis to long-range or aerial data in video or image data stream, and the macroscopic group analysis result of pronghorn is obtained;Data output interface is used to output the refinement individual analysis result and macroscopic group analysis result of pronghorn, the present application can be widely applied in computer vision and intelligent monitoring technical field.

The invention relates to the technical field of optical lenses, provides an optical lens, a camera module and electronic equipment, and can solve the problem that a focusing lens group is easy to collide in a focusing process when an optical lens in the related technology is in a long-focus state. The optical lens comprises a front lens group, a first lens group and a second lens group which are arranged in a direction from an object side to an image side, the focal power of the front lens group and the second lens group is negative, and the focal power of the first lens group is positive; when the optical lens is in a short-focus state, the front lens group and the second lens group are kept relatively fixed in the direction of the optical axis of the lens, and the first lens group can move along the optical axis of the lens, so that the optical lens is switched between a focusing close shot and a focusing long shot; when the optical lens is in a long-focus state, the front lens group and the first lens group are kept relatively fixed in the direction of the optical axis of the lens, and the second lens group can move along the optical axis of the lens, so that the optical lens is switched between a focusing close shot and a focusing long shot. The method can be applied to electronic equipment such as a mobile phone.

The invention discloses a road full-scene rapid reconstruction method based on multi-source parallax control and an adaptive explicit radiation field, and relates to the technical field of three-dimensional reconstruction. Comprising the following steps: collecting multi-source image data by adopting a differentiation strategy aiming at scenes such as roads, bridges and tunnels, and resolving camera poses; the scene is represented by an anisotropic three-dimensional Gaussian ball set, and accurate mapping from three dimensions to two dimensions is realized through a covariance projection formula; gaussian ball attributes are iteratively optimized based on an adaptive density control strategy of a gradient threshold and volume constraint, and automatic cloning / splitting is carried out in a detail area to improve precision; and real-time rendering of more than 60FPS is realized by adopting parallel cardinal number sorting based on image blocks and an Alpha mixed formula. The problems that a traditional method is high in cost, the close shot is fuzzy, the interior and exterior of the tunnel are disjointed, and real-time interaction is difficult are solved, rapid modeling and incremental updating within 24 hours are achieved, and the reconstruction efficiency, the detail fidelity and the user experience are remarkably improved.

The invention discloses an image splicing method and device and a computer program product, and the method comprises the steps: respectively mapping images collected by cameras at different positions to a pre-established imaging spherical surface, and obtaining respective mapping images; layering each mapping image according to the movement speed of the scenery in each mapping image to obtain a multi-layer image; and respectively setting the same scene distance hierarchy for the images with the similar movement speeds, and splicing the images with the same scene distance hierarchy to generate a panoramic image. According to the method, the image is layered based on speed, so that smooth transition and natural fusion from close shot to long shot are ensured, the problems of ghosting and dislocation in traditional panoramic stitching are effectively solved, and the quality and flexibility of image stitching in a large parallax scene are remarkably improved.

The application provides a wide-temperature-range large-target high-definition double-band lens, which first relies on a focusing group movable along an optical axis, can effectively compensate for optical deviation caused by temperature deformation, and ensures that the equipment always maintains stable image surface under a wide temperature environment of-55 DEG C to 85 DEG C and a close-range shooting working condition. Meanwhile, the filter group assembled on the wheel type switching mechanism can rotate and switch different functional filters according to the use requirement, can not only perform optical filtering and polarization processing on the incident light, but also can quickly switch various imaging modes, and fully meets the use requirement of various differentiated and complicated imaging scenes. In addition, the focusing group and the rear fixed group form optical cooperation and cooperative operation, and can comprehensively guarantee that the wide-temperature-range large-target high-definition double-band lens presents high-quality high-definition double-band imaging effect under the large-target specification.

A virtual space display method is provided, which includes the steps of: displaying a first local space during a spawn point selection phase of a virtual game, the first local space being a local space of the 3D virtual space in a first close-up camera view, and including a target virtual object in the first local space (402); displaying a gradual camera ascent screen for the 3D virtual space, the gradual camera ascent screen being a space screen of the 3D virtual space in a gradual ascent camera view as the camera view gradually rises from the first close-up camera view to a distant camera view (404); displaying a second local space when the camera view changes to the distant camera view, the second local space being a local space of the 3D virtual space in the distant camera view, and including a plurality of spawn points in the second local space (406); and selecting a target spawn point from the plurality of spawn points (408).

The utility model relates to the field of image display, and particularly discloses a dynamic image display device and a strabismus measuring instrument. The close-shot display module is arranged in the frame; the distant view display module is arranged on the edge of the frame; and the control module is electrically connected with the close-shot display module and the long-shot display module respectively, and the control module is used for sending a display signal to the close-shot display module or the long-shot display module to display a dynamic image. According to the utility model, the distance between the device and an observer can be flexibly adjusted, and the attention of the observer is improved by displaying rich and colorful dynamic images, so that the diversified requirements of different observers on the display distance and the image are met.

The invention discloses an optical lens, a camera module and electronic equipment. The optical lens comprises a first lens group and a second lens group which are arranged from an object side to an image side, the first lens group has positive focal power, the second lens group has negative focal power, and the first lens group and / or the second lens group are / is a focusing lens group. In the focusing process of switching the optical lens from the long shot to the close shot, the distance between the first lens group and the second lens group is increased, and the effective focal length of the optical lens is reduced. The optical lens meets the relational expression that F2 / EFL is larger than-5, F2 is the focal length of the second lens group, and EFL is the effective focal length of the optical lens. The optical lens provided by the invention has the characteristics of long focus, micro distance and large clear aperture, and can realize miniaturization.

The application provides a method, device and system for positioning based on a monocular fixed-focus gimbal camera. The method comprises: based on the calibrated monocular fixed-focus gimbal camera, determining a first coordinate and a first pose, a second coordinate and a second pose of a camera center in a world coordinate system at a first position and a second position respectively, and acquiring a first image and a second image including a static target respectively; based on an image coordinate system, determining the coordinates of the static target in the first image and the second image respectively; according to the calibration parameters of the camera, the first coordinate and the first pose, the second coordinate and the second pose, and the coordinates of the static target in the image, determining a first deflection vector and a second deflection vector from the camera center to the static target in the world coordinate system respectively; and according to the first coordinate, the second coordinate, the first deflection vector and the second deflection vector, determining the coordinate information of the static target in the world coordinate system. The method is simple and efficient to implement, and is particularly suitable for indoor close-range application scenarios.

The invention discloses an electric power screen cabinet monitoring point shooting method, system and device and a storage medium. The method comprises the steps of obtaining selectable monitoring point data, a global configuration holder absolute position and selectable configuration offset of a standard global screen cabinet configuration picture of a target electric power screen cabinet and a local configuration holder absolute position of a standard local screen cabinet configuration picture; based on the optional configuration offset and global and local configuration holder absolute positions, obtaining a configuration distant view rotation proportion; based on the target monitoring point data, globally configuring the absolute position of the holder to obtain a screen cabinet use picture; obtaining a deviation correction angle based on the rotation proportion of the screen cabinet use picture, the standard global screen cabinet configuration picture and the configuration distant view picture; obtaining a close-shot adjustment angle based on the target monitoring point data, the selectable monitoring point data, the selectable configuration offset and the configuration long-shot image rotation proportion; and obtaining a target monitoring point picture based on the local configuration holder absolute position, the correction angle and the close-range adjustment angle. The shooting reliability of the monitoring point of the electric screen cabinet is improved.

Disclosed are a multi-camera camera module, a camera system, an electronic device, and an imaging method. The multi-camera camera module comprises: a first camera unit provided with a first optical axis; a second camera unit with a zoom function, provided with a second optical axis; and a moving mechanism configured to adjust the relative position relationship between the first camera unit and the second camera unit. In this way, the structural configuration of the multi-camera camera module enables it to perform optical zooming based on the distance between it and the target object, so that when the close range and the far range are simultaneously included in the viewfinder picture, the multi-camera camera module can capture clear images of the target object at different depths of field, so that the finally synthesized image has a better imaging effect.

The invention discloses a panoramic image splicing system and method based on a look-around and guarding camera, and the system comprises an image collection device which is used for collecting a first look-around image of a near-field region around a vehicle and a second look-around image of a far-field region around the vehicle; wherein the second look-around image comprises an RGB image and an infrared image; the panoramic image splicing device is used for performing depth estimation processing on the first all-round view image to obtain a near-field panoramic depth image, and performing fusion and depth estimation processing on the second all-round view image to obtain a far-field panoramic depth image; and performing point cloud projection and point cloud registration processing according to the close-shot depth image and the long-shot depth image to obtain a near-field spliced image and a far-field spliced image. According to the method, the complementarity of the low-light RGB image and the infrared image can be fully utilized, and the cross-stage partial residual structure of the BottleneckCSP module and the global modeling capability of the Transform are combined to realize efficient feature extraction and fusion, so that the depth image with high precision and robustness is generated.

The application discloses a kind of vehicle target detection method and system based on dual camera, it is related to intersection intelligent vehicle management field, including: according to the homographic transformation matrix the long-range image is mapped on the close-range image and obtains the coordinates of four vertexes of mapped long-range image, and according to the coordinates of four vertexes of mapped long-range image, the transformed detection result corresponding to the long-range image and the detection result corresponding to the close-range image are detected result fusion and output, to realize using long-range camera to improve the detection quantity of close-range camera far place, and then improve the detection quantity and detection sample of far small target, so as to improve the detection identification efficiency and accuracy of intersection vehicle.

The application discloses an obstacle monitoring method, device and equipment and a storage medium. The method comprises the following steps: acquiring point cloud data collected by a laser radar, including at least two screening boxes; generating at least one near-view boundary curve based on the at least two screening boxes; generating at least one far-view fitting curve in a continuously iterative manner based on the at least two screening boxes; obtaining an orbit boundary curve based on the near-view boundary curve and the far-view fitting curve; screening obstacle point cloud from the point cloud data according to at least one orbit boundary curve; and determining obstacle information according to the obstacle point cloud. According to the technical scheme of the application, the calculation amount of the system can be greatly reduced, and the accuracy of obstacle monitoring can be improved.

This invention discloses an eye pose recognition method based on close-range photogrammetry, comprising: step 101, locating facial feature points in two images from two binocular cameras; step 102, using the facial feature points from the two images as corresponding points, recovering the three-dimensional coordinates of the facial feature points using close-range photogrammetry and the least squares algorithm; step 103, extracting the three-dimensional coordinates of the eye region feature points and reprojecting them onto the XOY plane; step 104, calculating the head pose angle using the three-dimensional coordinates of the facial feature points, and using the head pose angle to correct the EAR value. Beneficial effects: The EAR value calculated based on the projection of the three-dimensional coordinates onto the XOY plane does not need to consider the error caused by the yaw angle. Furthermore, by using the three-dimensional coordinates of the facial feature points to calculate the head pose angle to correct the EAR value, the EAR value does not change significantly regardless of the change in the pitch angle γ between two consecutive frames, thus providing a good indication of the eye state.

The present application relates to the technical field of optical lenses, and provides an optical lens, a camera module, and an electronic device, which can solve the problem in the related art that a focusing lens group is prone to collision during focusing when an optical lens is in a telephoto state. The optical lens comprises a front lens group, a first lens group, and a second lens group which are arranged along a direction from an object side to an image side; the optical power of the front lens group and the second lens group is negative, and the optical power of the first lens group is positive; when the optical lens is in a short-focus state, the front lens group and the second lens group remain relatively fixed along the optical axis of the lens, and the first lens group can move along the optical axis of the lens, so that the optical lens is switched between near focus and far focus; when the optical lens is in a telephoto state, the front lens group and the first lens group remain relatively fixed along the optical axis of the lens, and the second lens group can move along the optical axis of the lens, so that the optical lens is switched between near focus and far focus. The present application can be applied to electronic devices such as mobile phones.

According to the endoscope based on double-camera fusion imaging, through cooperation of the near-focus camera and the far-focus camera, close-shot and long-shot images of a detected target can be obtained respectively. When the texture features of the to-be-detected area are insufficient, the texture feature detection module can detect the situation that the texture feature values are lower than the standard value in time, at the moment, the image processing module controls the structured light projection module to project the preset structured light pattern, and recognizable feature points are added for the low-texture area. After the near-focus camera and the far-focus camera synchronously collect an image with a structured light pattern, the image processing module performs distortion correction and epipolar alignment on a near-focus original image and a far-focus original image and extracts feature points of the structured light pattern for stereo matching, so that a parallax value can be accurately calculated and a distance map can be generated; therefore, a reasonable fusion weight is obtained, accurate fusion of the near-focus image and the far-focus image is realized, and comprehensiveness and accuracy of image acquisition can be improved.

The invention relates to an optical lens, a camera module and electronic equipment. The optical lens comprises a first group, a second group and a third group, and the focal power of the first group is opposite to that of the second group. The first group includes at least two lenses. The second group includes at least one lens. The third group includes light folding elements. The light emitted from the first group sequentially passes through the second group and the light folding element, and the light is reflected for multiple times in the light folding element. The first group is a first group, the second group is a focusing lens group, and in the focusing process of the optical lens from long shot to close shot, the distance between the first group and the second group is increased, and the distance between the second group and the third group is reduced. The optical lens meets the following condition: FOV is less than 50 degrees, FOV is a field angle of the optical lens in the first focusing state, and the working object distance in the first focusing state is the maximum working object distance of the optical lens. The optical lens provided by the embodiment of the invention has the characteristic of miniaturization, can realize shooting in a long-shot state and a micro-distance state, and has good imaging quality.

A robot head assembly and a robot, relating to the field of artificial intelligence, are disclosed. The robot head assembly includes a head support, a LiDAR, a first camera, and multiple second cameras. The LiDAR, the first camera, and the multiple second cameras are all mounted on the head support, with the multiple second cameras arranged at intervals along the circumference of the head support. The first camera is used to acquire near-field images and their depth. The multiple second cameras are used to acquire far-field images and, in conjunction with the LiDAR, acquire the depth of the far-field images. This expands the field of view, improves the perception of the surrounding environment, enhances motion accuracy, and makes movement more stable and reliable.

1. The name of the design product: smart pass graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: interface display and human-computer interaction for smart pass in scenarios such as parks and communities. 6. The change state of the graphical user interface: based on the front view, click any position of the park or community scenario in the middle of the front view, such as clicking the "park entrance" position in the front view, jump to change state figure 1, and enlarge the scenario from long shot to close-up; click the "camera" icon in change state figure 1, jump to change state figure 2; click the "view monitoring" button in change state figure 2. Jump to change state figure 3. The front view reference figure is the reference figure of the front view, and the change state reference figures 1-3 are the reference figures of the change state figures 1-3. The "XX" in each view represents a character and / or a number.

The application provides a kind of ancient building crack marking method and device based on multi-view, belong to image recognition field, the method includes: obtaining the close-range image containing crack and multiple long-range image sequences;Extract crack pixel coordinates;Calculate the homography matrix between close-range image and each long-range image, crack pixel coordinates in close-range image are mapped to long-range image, generate long-range image with crack marking, and long-range image with crack marking replaces original long-range image, forms new long-range image sequence;Based on new long-range image sequence, three-dimensional reconstruction is carried out, and the three-dimensional point cloud model of ancient building with crack marking is generated;Unified reference coordinate system is established, and the spatial position information of crack is extracted, to realize the spatial positioning marking of crack. In this way, the advantages of close-range high-precision detection and long-range global positioning are effectively integrated, while ensuring the crack detection accuracy, the crack is marked and positioned from two-dimensional to three-dimensional.

The application provides a kind of image rectification method based on binocular disparity, comprising: obtaining the first view image and the second view image of different depth of field of target scene;The first view image and the second view image are adjusted to the same preset size;Determine the relative position attitude of the first view image and the second view image;According to the relative position attitude, the corresponding pixel points in the first view image and the second view image are adjusted to be aligned in horizontal direction;The first view image and the second view image are binocular depth estimation to obtain the first image, and the first view image or the second view image with relatively smaller depth of field is monocular depth estimation to obtain the second image;The first image and the second image are image fusion.The rectification method provided by the application can successfully generate long-range and near view disparity map, and is obviously superior to monocular disparity estimation method in accuracy.