1448 results about "View angle" patented technology

The invention discloses an industrial part surface defect intelligent detection system and method, and relates to the technical field of defect detection. When a part is fixed on a rotating carrier for full-angle scanning, a surrounding type industrial camera and a light source array cooperate, a light field is dynamically evaluated by combining part curved surface reflection characteristics, and the light source intensity and direction and camera exposure and gain are adjusted; obtaining a uniform initial image; a global image of the part is reconstructed through brightness standardization, denoising interference suppression, multi-scale texture enhancement, distortion correction, normal expansion and cross-view alignment splicing; the method comprises the following steps: extracting cross-scale features by adopting a graph convolution attention model, constructing a fusion feature vector based on geometric morphology parameters and texture features by virtue of defect regions segmented by regional reconstruction aggregation curved surface reflection to finish classification and grading, generating a simulated graph through an adversarial generative network, comparing and verifying, and outputting a detection report. The defect detection precision and efficiency are effectively improved, and the industrial high-quality detection requirement is met.

The present application relates to the technical field of computer vision, and particularly relates to a three-dimensional scene reconstruction rendering method and system. The present application generates a corresponding 3D Gaussian ellipsoid for each sparse point cloud of a scene to be reconstructed; obtains a re-projection area of each 3D Gaussian ellipsoid on a two-dimensional image at different viewing angles; takes each re-projection area as the center, and sets all re-projection areas within a certain pixel distance range as adjacent re-projection areas of the re-projection area; based on the sum of the Gaussian kernel function values from the center of the re-projection area of each 3D Gaussian ellipsoid on the two-dimensional image at different viewing angles to the centers of each adjacent re-projection area of the area, the edge intensity, the local variance, the normalized gradient amplitude, and the absolute value of the dot product of the gradient vector and the normal vector, calculates the split control function value of each re-projection area; compares the split control function value of each re-projection area with the size of a set threshold, and controls the 3D Gaussian ellipsoid to split. The present application improves the three-dimensional scene reconstruction rendering precision.

Provided are a multi-dimensional fish school perception method and system, and an electronic device. The multi-dimensional fish school perception method includes: acquiring a multi-view optical image and original sonar data of a fish school by using the multi-dimensional fish school perception apparatus; obtaining a first 3D (three-dimensional) feature map of the fish school based on the multi-view optical image; obtaining a second 3D feature map of the fish school based on the original sonar data; extracting fused features based on the first 3D feature map and the second 3D feature map to obtain a fused feature map; and obtaining, based on the fused feature map, a 3D detection result of a target fish school by using a self-attention-mechanism-based 3D target detection method.

This disclosure discloses an optical imaging lens system comprising seven lenses. The seven lenses, arranged sequentially from the object side to the image side along the optical path, are a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, and a seventh lens. Each of the seven lenses has an object-side surface facing the object side and an image-side surface facing the image side. The object-side surface of the third lens is concave near the optical axis. The image-side surface of the sixth lens is convex near the optical axis. The image-side surface of the seventh lens has at least one inflection point. The optical imaging lens system also includes an aperture, which is positioned between the fourth and fifth lenses. Under certain conditions, the optical imaging lens system can simultaneously meet the requirements of wide viewing angle, miniaturization, large aperture, and high image quality. This disclosure also discloses an image-capturing device having the above-described optical imaging lens system and an electronic device having the image-capturing device.

The embodiment of the present disclosure discloses a photographing guiding method and device, electronic equipment and storage medium, the method comprises the following steps: determining the physical position of the object to be modeled according to the physical position of the shooting device; determining a virtual polyhedron matched with the object to be modeled according to the physical position of the object to be modeled; displaying the virtual polyhedron on the shooting page of the shooting device based on augmented reality (AR) technology, and obtaining the photos of the object to be modeled under different shooting angles based on the virtual polyhedron. The photographing guiding method provided by the present disclosure realizes the automatic determination of the photographing angle and the number, improves the photographing efficiency, and solves the problem of excessive dependence on artificial modeling experience.

This utility model belongs to the field of coffee machine technology, and particularly relates to a rotating head-up display coffee machine, including a base, a rotating panel, and an elastic locking mechanism. The rotating panel is rotatably connected to the base; the elastic locking mechanism is disposed on the base and used to lock and restrict the rotating panel on the base; wherein, the base is provided with a receiving groove, one end of the rotating panel is connected to one end of the receiving groove, and the elastic locking mechanism is disposed at the other end of the receiving groove. When the free end of the rotating panel is reset in the receiving groove, the elastic locking mechanism locks and fixes the free end of the rotating panel. According to one's own viewing angle or operating environment, the free end of the rotating panel can be easily pressed down to release the elastic locking, and after the panel is rotated to a comfortable angle, it can be released, and the elastic locking mechanism will automatically and firmly lock its new position, ensuring that the screen angle is flexibly adjustable during operation and observation; when it is necessary to reset, the free end of the panel is rotated back into the receiving groove, and the locking mechanism will reliably fix it, restoring it to a flat state.

A technique for mapping assets deployed for an unmanned aerial vehicle (UAV) service includes capturing, with a mobile computing device, a plurality of side view images of a ground area including the assets, the assets deployed to the ground area for supporting operations of the UAV service, the side view images acquired from different pedestrian vantage points about the ground area; measuring, by the mobile computing device, camera locations of the mobile computing device when capturing the side view images; analyzing the side view images along with the camera locations of the mobile computing device to determine asset locations of the assets at the ground area; and updating a backend management system of the UAV service to record the asset locations determined from the analyzing.

The application provides a kind of intelligent device remote control method and system based on virtual coordinate mapping, the control method is applied in the control system including intelligent device, at least including virtual presentation interface and calibration control module presentation device and at least including controller and control module control device, specifically: after presentation device receives the fixed visual angle data of intelligent device, based on demand information generates start signal, controller and intelligent device form virtual space mapping, and project to presentation device, control instruction is generated according to the spatial position of controller;Control instruction is calibrated based on the relative position of presentation device and controller, and intelligent device responds to control instruction and executes corresponding action.The application introduces the presentation device of fixed position on the basis of virtual space mapping control, intuitively reflects the corresponding relationship between control instruction and intelligent device action, and corrects the control instruction error caused by the movement of overall system, improves control operation efficiency and accuracy.

The present application belongs to the technical field of root observation, and in particular to a sugar beet root growth observation device. The existing device cannot well scan and observe the roots in the annular hollow culture tray, resulting in a visual angle blind area during observation. The present application provides the following solution, which includes a base, a water culture barrel arranged on the base, a hollow tray arranged in the inner cavity of the water culture barrel, and a small water culture tray, a medium water culture tray and a large water culture tray arranged at the top end of the hollow tray. The present application provides a sugar beet root growth observation device that adopts water culture for seedling raising and combines with a full-range observation assembly, can non-destructively observe the sugar beet roots in the annular hollow culture tray at different periods, overcomes the defect that the traditional soil culture for seedling raising is easy to cause damage to the roots during observation, thereby avoiding the visual angle blind area in the observation process, ensuring that the full-range and full-depth morphological and growth dynamic information of the roots can be obtained, and further significantly improving the accuracy of the seedling stage screening data.

The application discloses a multi-view human body reconstruction method based on photometric consistency matching and optimization algorithm, which comprises the following steps: firstly, obtaining a rough human body surface through a visual hull algorithm according to a human body mask image; secondly, using photometric consistency constraint to optimize the shape initialized from the visual hull, so as to obtain a dense human body surface model; thirdly, calculating an illumination coefficient by using the diffuse reflection principle; and finally, using a light and shade optimization algorithm to perform high-speed real-time rendering on the dense human body surface model, so as to obtain a final simulation human body model. The application can optimize the initialized rough surface by using the contrast of the gray scale image, maintaining the photometric consistency constraint and the differentiable rendering, and can effectively solve the problems of the unsmooth surface, the unobvious geometric details and the color estimation by using the diffuse reflection principle to estimate the diffuse reflectivity and the illumination. The application can optimize the human body surface by the difference of the light and shade and the color in the image.

The invention relates to an imaging device (10; 110), in particular an endoscope device, for stereoscopic image generation, wherein the imaging device (10; 110) has a shaft (12; 112) that defines a longitudinal axis (14; 114) and at least one optical viewing direction unit (58, 158) for generating a viewing angle (18) of greater than 0° with respect to the longitudinal axis (14; 114).It is proposed that the imaging device (10; 110) has a periscope unit (20; 120) for combining at least two beam paths (22, 24; 122, 124) for use in stereoscopic image generation, wherein the viewing direction unit (58, 158) is rotationally fixed with respect to the shaft (12; 112) and the periscope unit (20; 120) is arranged so as to be rotatable relative to the shaft (12; 112) about the longitudinal axis (14; 114).

The application provides a plate tail intelligent grading equipment and method based on visual guidance, and the core is that through integration of multi-view visual perception, adaptive grabbing, digital twin and cloud-edge collaborative control technology, full-process intelligent management of plate tail from warehousing, grading storage to on-demand use is realized; multi-view images of the tail are collected by a camera array, three-dimensional point clouds are reconstructed through a stereo matching algorithm, and morphological characteristic parameters of the tail are extracted; with the help of digital twin technology, a virtual model of each tail is generated and synchronized, a stacking strategy is optimized based on a genetic algorithm, and space utilization is maximized; when a use request is received, the system can perform virtual cutting pre-performance in the digital twin environment, accurately match the demand, and use the stacked tail through the temporary storage-backfilling mechanism; finally, through the cloud-edge collaborative platform, visual monitoring and global scheduling optimization of the inventory and equipment state are realized, and the tail management efficiency and material utilization are significantly improved.

The present application relates to the field of target identification, and more particularly to a multi-modal target detection and identification method based on image processing, comprising: determining and extracting strategy based on perspective richness and feature stability; when performing uniform extraction, determining whether to adjust the extraction quantity based on perspective satisfaction; when performing compensation extraction, determining the compensation paragraph based on the regional parameter representation value; for the reference image obtained by extraction, determining whether to perform feature point optimization based on the feature anchor representation value and the spatial coverage; in the feature point optimization process, determining the point optimization strategy based on the evaluation balance; determining the sub-region category based on the regional prominence, and determining whether to adjust the feature region area based on the one-class quantity and the one-class aggregation degree. The present application effectively improves the multi-modal re-identification effect.

A system for generating low-computational-resolution depth maps using a low-resolution camera is configured to: acquire a pair of stereo images; and generate a depth map by performing stereo matching on the pair of stereo images. The system is also configured to: acquire a first image including first texture information for the environment, the first image having a first image resolution higher than the image resolution of the stereo image pair. The system is further configured to: generate a reprojected first image by reprojecting the first image to correspond to an image capture viewpoint associated with the depth map. The reprojection of the first image is based on depth information from the depth map and includes the first texture information reprojected for the environment. The system is also configured to generate an upsampled depth map based on the depth map.

The present disclosure provides a view angle adjustment method and device in a virtual scene, a terminal device and a storage medium. A graphical user interface is provided by the terminal device, and a first virtual scene picture is displayed on the graphical user interface. The method comprises: in response to an input operation acting on a view angle adjustment region in the graphical user interface, displaying at least one object identifier corresponding to a virtual object in the view angle adjustment region; wherein the display position of the object identifier in the view angle adjustment region corresponds to the actual position of the at least one virtual object in the virtual scene; in response to a change in the scene view angle of the first virtual scene picture and / or a change in the actual position of the at least one virtual object, controlling the display position of the object identifier in the view angle adjustment region to be updated; and in response to a target object identifier in the object identifier being selected, controlling a second virtual scene picture determined based on a target virtual object to be displayed in the graphical user interface, the target virtual object being a virtual object corresponding to the target object identifier.

The application discloses a kind of multi-camera-based animal vital sign monitoring method, medium, equipment, it is related to animal vital sign monitoring technical field, method includes: using DLC posture estimation network to train animal multi-view video, obtain key point information;According to the key point information of main visual angle, the centroid motion of animal is analyzed and compared with motion threshold, determine animal state, in the continuous image sequence of relative static state time period, according to key point information, obtain region of interest;Corner point is detected in region of interest, and corresponding motion signal is acquired by tracking corner point;Correlation analysis is carried out to motion signal, and sorting is carried out based on information gain, and vital sign signal is obtained by fusing motion signal higher than set threshold;Power spectrum is used to analyze vital sign signal, obtain the energy distribution of vital sign signal, and the value of respiratory rate and heart rate is calculated.The application can effectively reduce artificial intervention, and has the role of promoting to animal experiment method innovation and data analysis.

This invention provides an atomic-level electron tomography 3D reconstruction method. Its core is to match the simulated projection of an atomic model with experimental images through iterative optimization. The method first constructs a 3D space based on the sample contour and initializes the atomic model parameters. Then, it acquires experimental images from multiple angles and their imaging parameters. In each iteration, a simulated projection image is generated based on the current atomic model and imaging parameters, and the difference between it and the corresponding experimental image is calculated as the loss value. An optimization algorithm dynamically adjusts atomic parameters (position, size, etc.) and imaging parameters (such as focus distance and aberrations) to minimize the total loss. This process includes intelligent simplification steps, which can merge or delete atoms to optimize model complexity. Finally, using the converged high-precision atomic model, 3D reconstructed images with arbitrary viewpoints and depths can be generated. This method can achieve high-precision atomic-level 3D reconstruction without completely relying on 360-degree scan data, helping to reduce data acquisition costs.

This invention discloses a 3D defect detection method, system, and device based on typical geometric alignment and multi-view adaptive rendering, comprising the following steps: S1, acquiring the initial 3D point cloud of the object to be detected, and performing unsupervised feature analysis on the initial 3D point cloud through typical geometric alignment to obtain a standardized aligned point cloud of the object to be detected; S2, converting the standardized aligned point cloud of the object to be detected into a set of geometric feature maps from multiple camera views; S3, inputting the geometric feature maps of the object to be detected from the camera views into a general 2D image anomaly detection network, outputting point-level anomaly scores, and then back-projecting them onto the corresponding surface points of the standardized aligned point cloud to obtain object-level anomaly indicators for 3D defects. This invention does not rely on the geometric structure and observation posture of the object to be detected, and can achieve robust anomaly defect detection on unaligned object 3D point clouds, achieving high-precision point-level anomaly localization.

This invention discloses a skeletonless, non-skeleton-dependent method for tracking similar small targets in UAV-based high-altitude overhead scenarios. Addressing the challenges of extremely low resolution, motion blur, and highly similar appearances of pedestrian targets in high-altitude aerial photography, which render traditional skeleton pose features ineffective, this method first dynamically calculates feature confidence by jointly evaluating the detection box size, detection confidence, and local sharpness. Based on this, it adaptively adjusts the fusion weights of spatial, appearance, and motion features in multi-source likelihood matching. Furthermore, to handle ambiguity regarding similar targets in congested scenes, it innovatively utilizes sharp displacements in a two-dimensional plane under UAV overhead views to construct motion pattern distinguishing factors (including direction and velocity consistency) to replace ineffective skeleton features and achieve accurate identity resolution. Finally, it combines multi-evidence fusion mechanisms such as spatiotemporal reachability, appearance consistency, and motion continuity to recover trajectories lost due to occlusion. This method effectively overcomes the feature instability and identity ambiguity problems of small targets under UAV high-altitude overhead views, significantly improving the robustness of target tracking in complex traffic scenarios.

This invention relates to the interdisciplinary field of image recognition and intelligent medical technology, specifically disclosing a method for orthopedic rehabilitation movement recognition and assessment based on image recognition. This method acquires patient motion images using a non-invasive multi-view visual sensor, extracts the three-dimensional coordinates of key skeletal points, and constructs a parametric biomechanical digital twin model integrating joint range of motion, muscle force lines, and ligament tension mechanisms. The key point data is input into a graph neural network for posture recognition, and the digital twin model is simultaneously invoked for physical feasibility verification and posture correction. Finally, the spatiotemporal trajectory similarity is calculated using a standard rehabilitation movement template, generating a comprehensive assessment result including movement completion, safety level, and injury risk. This invention, through the above technical solution, improves the robustness, physiological rationality, and clinical safety of movement recognition.

This application provides a method for labeling display devices and dynamic gesture data. The method includes: in the data acquisition stage, storing a gesture configuration file containing a specific execution order and time range to provide strong prior constraints for labeling and ensure that the acquired data meets expectations; secondly, using a gesture recognition model for preliminary labeling, and configuring a driving filtering algorithm to match the model inference results with the gesture configuration file to retain high-confidence labeled data; furthermore, introducing an uncertainty measure to distinguish between high- and low-value samples, directly adopting samples with low uncertainty, and manually correcting samples with high uncertainty to ensure the labeling accuracy of difficult samples; finally, verifying the labeling through multi-viewpoints by comparing the consistency of gestures in the same time period under different camera views to eliminate single-viewpoint errors and further improve the labeling accuracy, solving the problem of low labeling accuracy of current gesture video data and improving the accuracy of gesture video data labeling.

The application belongs to the technical field of medical image processing, and particularly relates to a human limb skin disease area evaluation method, device and system. The method comprises the following steps: collecting multi-view images of a target limb, adjacent view angles of the multi-view images containing overlapping areas; generating a three-dimensional point cloud of the target limb based on the multi-view images; constructing a cylindrical model with a radius changing along a limb axis based on the three-dimensional point cloud; projecting the multi-view images to the cylindrical model, and selecting pixels projected to the same position of the model based on an evaluation function, so that the model surface is attached with image texture; and unfolding the cylindrical model with the texture into a two-dimensional plane image for evaluating the skin disease area. The application realizes high-precision and high-fidelity lesion area evaluation without expensive three-dimensional scanning equipment.

The utility model discloses a kind of multi-angle adjustable magnetic attraction camera module and computer terminal equipment, wherein camera module includes camera base, connecting seat and camera main body, first pivot and second pivot are provided on the connecting seat, the connecting seat is rotationally connected with camera base with the axis of first pivot as center, the camera main body is rotationally connected with connecting seat with the axis of second pivot as center, first pivot and second pivot are perpendicular. The utility model can be adjusted by setting mutually perpendicular first pivot and second pivot, the multi-angle adjustment of pitch angle and deflection angle of camera main body, user can adjust the shooting angle of camera according to actual use demand, wide in visual angle adjustment range, strong adaptability.