180 results about "Spatial image" patented technology

The invention discloses a tunnel lining crack identification method and system based on panoramic space image splicing, and relates to the technical field of tunnel visual identification. The method comprises the following steps: acquiring a tunnel lining image array, and performing local splicing on tunnel lining images by using a splicing model based on cylindrical surface projection to obtain a local spliced image; fusing and splicing the local spliced images by using the global image space model to obtain a panoramic spliced data graph; and abnormal region detection is carried out on the panoramic splicing data graph according to the spatial local difference, and a tunnel lining crack identification result is obtained. According to the method, the lining panoramic space model based on image two-stage fusion is used for splicing, so that the visual coherence and naturalness of a global spliced image are improved.

Systems and methods for fast reconstruction of motion-resolved magnetic resonance images using space-time-coil convolutional networks are disclosed. The system can receive a plurality of k-space data sets. The system can detect a motion signal therefrom. The system can classify the k-space data sets according to states of the motion signals. The system can resolve the k-space data set to Euclidean space images. The system can resolve the Euclidean space images to a combined Euclidian space image. For example, the system can use a convolutional network that exploits spatial, temporal and coil correlations without k-space data consistency to minimize computation time.

The application belongs to the technical field of image processing, and particularly relates to a cable shielding layer weaving density detection system based on image analysis, which comprises an image correction module, a frequency domain analysis module, an adaptive filtering module and a density defect detection module; a maximum peak point of a centralized complex frequency spectrum is obtained; a band-stop filter is constructed according to the maximum peak point, and the centralized complex frequency spectrum is filtered through the band-stop filter to obtain a filtered complex frequency spectrum and perform inverse Fourier transform to obtain a filtered spatial image, and the filtered spatial image is binarized through a threshold segmentation algorithm to obtain a pore mask; a porosity is obtained according to the ratio of non-pore pixel points to the total number of pixel points; and the shielding layer weaving defect is judged according to the porosity. The application automatically identifies and filters the strong periodicity signal of the weaving texture in the frequency domain, effectively highlights the non-periodic defects such as pores, solves the technical problem that the periodic texture covers the defect signal, and improves the accuracy of defect detection.

The invention discloses an unmanned aerial vehicle positioning method and system based on a total station measurement network and visual collaboration. The method comprises the following steps: determining a space reference of the total station based on a ground control point; determining the spatial position of the unmanned aerial vehicle by using the total station after determining the spatial reference; capturing a space image corresponding to the unmanned aerial vehicle by using a camera; and projecting a positioning mark corresponding to the unmanned aerial vehicle on the captured space image based on the determined space position of the unmanned aerial vehicle. Therefore, efficient labeling, excellent consistency, cross-device / cross-camera unified output, precision verifiability, traceability, flexible deployment and excellent expandability can be realized.

The invention discloses a spectral space coding imaging system and method of a programmable diffractive optical element. The method comprises the following steps: S10, receiving a target scene light signal through a light field model and forming an optical image; s20, performing spatial spectrum joint modulation on the optical image by adopting a programmable diffractive optical element to obtain a coded light field; s30, projecting the coding light field to a detector and obtaining a two-dimensional coding image of primary exposure; and S40, inputting the two-dimensional coding image into a reconstruction module, combining modulation information of the programmable diffractive optical element, and performing decoding reconstruction by using a compressed sensing algorithm to obtain a high-resolution space image and spectral information of the scene. According to the invention, the limitation of the existing system on spatial / spectral resolution is broken through, the system structure is simplified, and the hardware programmability is improved; the imaging capability in a dynamic scene is improved; the signal-to-noise ratio and the penetrating power are improved; and balancing a physical model and a data driving method.

The invention discloses a forestry seedling culture data acquisition and analysis system, which relates to the technical field of data processing, and is characterized in that backscattered light of a seedling lignified tissue is acquired, an initial speckle interference video stream is generated, and after spatial image stabilization registration is performed on the initial speckle interference video stream, the speckle interference video stream is output; the correction module is used for obtaining a speckle interference video stream, extracting pixel time sequence gray information of the speckle interference video stream, mapping the pixel time sequence gray information into a time history speckle pattern, calculating a texture statistical characteristic value of the time history speckle pattern and outputting the texture statistical characteristic value as a first cell chaos degree index, and the compensation module is used for obtaining a metabolic rate compensation coefficient through a correction model. Temperature correction is conducted on the first cell chaos degree index according to the metabolic rate compensation coefficient, a second cell chaos degree index is output, the deviation degree of the second cell chaos degree index of the to-be-detected nursery stock and the dead wood reference value is calculated, the dormant state of the nursery stock is judged according to the deviation degree, and instant and accurate regulation and control over key nodes of seedling warehouse-out and recovery are achieved.

In some examples, a first electronic device is in communication with multiple displays while also interfacing with two external cameras, each capturing distinct viewpoints. In some examples, the first external camera captures first image data concurrently with the second external camera capturing second image data, with both contributing to generating spatial image data. In some examples, the first electronic device obtains the spatial image data from both external cameras or generates the spatial image data based on the first image data and the second image data. In some examples, when one or more first criteria are met, the first electronic device renders the spatial image data on one or more displays.

According to the short-term wind and light output prediction method based on the double-branch deep learning model provided by the invention, the meteorological time sequence, the meteorological space image and the historical output are acquired, and then the wavelet transform processing is carried out on the meteorological time sequence, so that data noise is effectively removed and signals are stabilized; and then time scale features and space scale features are obtained from a meteorological time sequence and a meteorological space image based on a double-branch deep learning model, and then fusion is carried out, so that rapid output change caused by a complex space weather phenomenon can be captured more accurately, the robustness and generalization ability are enhanced, and the final prediction precision is effectively ensured.

To improve user experience. [Solution] The program causes the computer to function as a control means that operates operation objects and user objects placed in a virtual space based on the user's operations in a predetermined area, and an image processing means that displays a virtual space image, which is an image of the virtual space based on a virtual camera placed in the virtual space. When the control means detects the user's first operation outside the predetermined area, it places a position designation object in the virtual space that specifies the destination of the user object, and moves the user object to the destination in a specific manner that is faster than normal movement.

An image processing apparatus includes a generating unit that generate a virtual space image, which is an image of a virtual space, an output unit that outputs a range to be captured in the virtual space and a marker indicating a position in the range to be captured where focusing is performed to a display device, and a control unit that controls the virtual space image so that, in response to an operation of an operation device for performing a movement operation of a viewpoint, which is a position where shooting in the virtual space is performed, in the virtual space, at least one of movement of the viewpoint in a direction indicated by the marker and movement of the viewpoint a distance that the focusing is performed is performed.

This invention relates to the field of industrial equipment diagnostic technology and discloses a method for fault diagnosis and tracing of industrial equipment based on multi-source heterogeneous parameter fusion and deep learning networks. The method includes: acquiring a multi-dimensional heterogeneous signal sequence representing the operating state of the controlled object; mapping the signal sequence into a two-dimensional spatial image tensor using the Gram angle field algorithm; constructing a dual-stream feature extraction network containing graph convolution branches and cyclic unit branches to extract spatial topological features and temporal evolution features respectively; determining the logical offset matrix based on the spatial flow feature gradient divergence, and resampling the temporal flow features accordingly to achieve spatiotemporal causal phase alignment, and outputting diagnostic analysis results. This invention compensates for the physical system response hysteresis through asynchronous resampling operators in the computational domain, eliminates feature phase contamination caused by conventional rigid alignment, enhances the model's ability to capture weak abnormal signals, and achieves causal consistency in fault root cause localization.

An embodiment of the present disclosure provides a method of controlling a robot based on a simplified map and a natural-language command. The method may include acquiring an image of a space, acquiring a simplified map of the space, the simplified map including a current position of a robot and a destination position of the robot and not including at least some elements describing the space, acquiring a natural-language command specifying compliance requirements that the robot is to comply with during an operation of the robot, generating input tokens based on at least one of the image, the simplified map, and the natural-language command, and generating waypoint tokens by processing the input tokens with a trained vision-language-action model.

A method of detecting presentation attacks based on a finger or face image in a first color space captured by an image capture device. The method includes receiving a first color space image in the first color space, converting the first color space image into a number of additional color space images, wherein each additional color space image is in a color space other than the first color space, and providing the first color space image and the number of additional color space images to a trained attention-leveraged data fusion-based classification system that is configured to determine whether the original image is live or a spoof. Also, a facial or finger video-based biometric authentication system and method employed combined losses during training to train a backbone network for performing vide-based identity verification.

The claims generally describe an apparatus for spatial image and video capture comprising a micro-electromechanical system (MEMS) scanning mirror. The apparatus comprises at least one adaptive MEMS micromirror, a first optical subsystem configured to: receive light from a first portion of an environment to direct light to the at least one adaptive MEMS micromirror; and a second optical subsystem configured to: receive light from a second portion of the environment to direct light to the at least one adaptive MEMS micromirror. The apparatus further comprises control circuitry that positions the MEMS micromirror to direct light from the first optical subsystem and light from the second optical subsystem to the at least one sensor. The apparatus generates image data based at least in part on the received light.

To provide an information processing system capable of reproducing a video image photographed in a virtual space in matching with a characteristic of a real space photographing section.SOLUTION: An information processing system comprising: a virtual space display unit configured to display a virtual space; a virtual space image generation unit configured to generate an image by imaging a part of the virtual space; and a real space imaging unit including an image processing unit capable of developing the image, wherein the image processing unit develops the image based on imaging information in the virtual space image generation unit and characteristic information of the real space imaging unit.SELECTED DRAWING: Figure 1

Systems and techniques are provided for processing image data. A process can include obtaining a pair of images with a first zoom level and including first and second image data of a scene obtained using a first and second camera, respectively. Information indicative of a second zoom level different from the first zoom level can be obtained, and a rectification matrix corresponding to the second camera can be determined based on a scale factor corresponding to the second zoom level. Zoomed second image data can be generated based on using the rectification matrix to warp a portion of the second image data determined based on the second zoom level. A zoomed pair of images associated with the second zoom level can be outputted to include the zoomed second image data and zoomed first image data comprising a portion of the first image data corresponding to the second zoom level.

An information processing apparatus is configured to be communicatively connected to a display device that displays a spatial image including at least one of a real-space image and a virtual-space image and configured to process information communicated with the display device. The information processing apparatus includes at least one processor. The processor is configured or programmed to detect a movement of a hand of a user viewing the spatial image displayed on the display device, as a first detection result, and to detect a position of the hand, as a second detection result, in association with the acquisition of the first detection result. The processor is further configured or programmed to switch a function performed by the display device according to the first detection result and the second detection result.

The invention discloses a crane test intelligent evaluation method and system based on machine vision, and relates to the technical field of image processing. Performing frame extraction by acquiring a video stream of a target crane to obtain an original image set; identifying the original image through the target model to obtain a feature tag, adding the feature tag to the original image, and combining to obtain a space image set; and performing feature extraction on the space image according to the time sequence to obtain a space-time mixed graph, and inputting the space-time mixed graph into the action evaluation model to obtain an evaluation score. Frames are extracted from the video stream to obtain an original image set, the data volume is reduced, and the processing efficiency is improved. And the target model recognizes the feature tags of the images to form a space image set, and feature representation is enhanced. According to the method, features are extracted according to a time sequence to construct a space-time mixed graph, an action evaluation model is input to obtain an evaluation score, the problems of dynamic scene classification stability, incomplete data, limited single mechanical recognition and insufficient space-time information splicing are solved, and the crane operation evaluation accuracy is improved.

The present invention relates to a system for forming REAL IMAGES SUSPENDED IN SPACE, COMPRISING AT LEAST ONE PROJECTOR (1) THAT PROJECTS A PRE-DISTORTED IMAGE ONTO A DIFFUSING PROJECTION SURFACE (2). THE LIGHT DISPERSED BY THIS SURFACE IS REFLECTED BY A PARABOLOID MIRROR (3), WHICH Reorganize the light rays in order to reconstruct at least one REAL IMAGE (4) IN THE SPACE VISIBLE TO THE OBSERVER (5). The system integrates a processing module (7) configured for CALCULATE AND APPLY A THREE-DIMENSIONAL GEOMETRIC PRE-DISTORTION TO IMAGES BEFORE PROJECTION, ENSURING THAT THE DIFFUSING SURFACE (2) PROVIDES THE PARABOLOID MIRROR (3) WITH THE LUMINOUS GEOMETRY NECESSARY FOR THE CORRECT FORMATION OF THE REAL IMAGE (4). A Pre-distortion can be achieved by intelligent algorithms. ARTIFICIAL, THREE-DIMENSIONAL INVERSE OPTICAL MODELS, MAPPINGS 3D / UV GEOMETRIC DESIGNS OBTAINED BY CALIBRATION, OR BY OTHER METHODS ADDITIONAL INFORMATION INCLUDING NUMERICAL APPROXIMATIONS, TECHNIQUES OF Spatial interpolation or hybrid models that combine simulation OPTICS AND EXPERIMENTAL DATA. IN OPTIONAL VARIANTS, THE SYSTEM MAY INCLUDE SENSORS (6) Configured to detect the presence or approximate position of a OR MORE OBSERVERS (5), ALLOWING THE PROCESSING MODULE (7) Dynamically update the pre-distortion and apply compensation. REAL-TIME PERSPECTIVE. THESE VARIANTS MAKE POSSIBLE Visual stability, geometric coherence and, where applicable, GESTURAL INTERACTION IN THE VOLUME OF THE REAL IMAGE (4).

A light guide plate, a light patterning assembly, an illumination and / or signal indicating device, and a motor vehicle are disclosed. The light guide plate comprises a light incident surface for receiving incident light, a first set of pattern units arranged in a first pattern, each pattern unit of the first set of pattern units comprising a first light deflecting portion arranged to deflect light incident from the light incident surface into the light guide plate in a first direction out of the light guide plate to form a first spatial image, and a second set of pattern units arranged in a second pattern, each pattern unit of the second set of pattern units comprising a second light deflecting portion arranged to deflect light incident from the light incident surface into the light guide plate in a second direction different from the first direction out of the light guide plate to form a second spatial image.

The invention provides a staple food grain crop dynamic mapping method based on a time sequence remote sensing image, and the method comprises the steps: obtaining a time sequence remote sensing image group of a target region, and the time sequence remote sensing image group comprises a plurality of remote sensing images which are arranged according to a time sequence; inputting the time sequence remote sensing image group into a trained first prediction model, and obtaining a staple food grain crop preliminary drawing result output by the first prediction model, the staple food grain crop preliminary drawing result including a space image of the target area and a predicted value of a staple food grain crop floor area proportion in an area corresponding to each pixel point in the space image; and determining a first staple food grain crop proportion threshold value corresponding to the target area based on the geographic position of the target area, and obtaining a staple food grain crop target drawing result of the target area based on the first staple food grain crop proportion threshold value corresponding to the target area and the staple food grain crop preliminary drawing result. According to the invention, an accurate local staple food grain crop proportion map can be generated.

The invention relates to a compression ratio measuring system, method and device of a to-be-measured engine. The system comprises a liquid storage container, an image acquisition device and a computer device, the liquid storage container is communicated with the combustion chamber, so that the internal space of the liquid storage container and the combustion chamber form a containing space, the image acquisition device is connected with the computer device, and the containing space is used for containing liquid so that the liquid can be stored in the liquid when the crankshaft drives the piston to move in the air cylinder. The volume of the liquid in the liquid storage container is changed along with movement of the piston, the image acquisition device is used for acquiring images of the liquid in the liquid storage container, and the computer device is used for acquiring the images acquired by the image acquisition device, acquiring the maximum volume and the minimum volume of the liquid in the liquid storage container according to the images and displaying the maximum volume and the minimum volume. And determining the compression ratio of the to-be-tested engine according to the maximum volume and the minimum volume. By adopting the system, the upper dead center and the lower dead center of the piston do not need to be manually confirmed, and the measurement accuracy of the engine compression ratio is improved.

A system for implementing augmented reality in connection with a conferencing platform obtains, via an imaging device, interaction space image information indicative of an interaction space. The system generates, based on the interaction space image information, virtual interaction space information corresponding to a virtual interaction space comprising a virtual three-dimensional (3D) structure representing the interaction space. The system obtains virtual object information for displaying a virtual object within the virtual interaction space. The system provides, for output, rendering information configured to cause a computing device to present, via a display device, the virtual object within the virtual interaction space.

Provided is an image processing apparatus that includes an image generating section that generates, in reference to computer graphics (CG) data, a virtual space image corresponding to an imaging range of an imaging section on a real space. For example, a virtual imaging section is installed on a virtual space in a manner corresponding to the imaging section on the real space, and a CG object on the virtual space is imaged to generate a virtual space image. The image processing apparatus includes an image superimposing section that superimposes the virtual space image on a real space image obtained by the imaging section imaging an object on the real space, to obtain a display image.

Device (1) for obtaining a spatial instrument image (60) of a medical instrument (50) and an anatomical image (62) using a magnetic resonance imaging (MRI) device (10), wherein the device (1) comprises a medical instrument (50), a MRI device (10), and a computing and control unit (70), wherein the medical instrument (50) comprises at least one marker material in at least one region (52, 52', 52'') that exhibits a nuclear magnetic resonance outside the proton resonance range, and wherein the computing and control unit (70) for controlling the MRI device (10) is configured such that, by means of the MRI device (10), a nuclear magnetic resonance imaging scan using proton resonance is performed to obtain a spatial anatomical image (62), and a nuclear magnetic resonance imaging scan using the nuclear magnetic resonance of the at least one marker material is performed. Acquisition of a spatial instrument image (60) is carried out,wherein the computing and control means (70) is designed to receive the anatomy image (62) and the instrument image (60) and to superimpose the anatomy image (62) and the instrument image (60) in the correct position and orientation, characterized in that the computing and control means (70) comprises an image model (56) of the medical instrument (50) and is designed to determine the position and orientation of the medical instrument (50) by means of the instrument image (60) and to superimpose the image model (56) of the medical instrument (50) onto the anatomy image (62) in the correct position and orientation.

A virtual space image generation device generates a virtual space image including a visibility change region in which a visibility changes based on movement of a viewpoint of a user. The virtual space image generation device includes an image generation unit that generates the virtual space image in which a transition completion time period required for transition of a visibility of the visibility change region between a first state and a second state different from the first state changes based on a predetermined condition, when the viewpoint of the user moves.

This application provides a target positioning method, apparatus, device, storage medium, and program product, applied to a smart terminal. The method includes: acquiring image data of the surrounding environment; generating a spatial image of the surrounding environment based on the image data; determining and acquiring the spatial image corresponding to the positioning target; generating anchor point information corresponding to the positioning target based on the corresponding spatial image; and determining the specific location of the positioning target using the spatial image and anchor point information. This application generates a spatial image corresponding to the surrounding real environment as a reference for the specific location. Then, it generates anchor point information by establishing anchor points for the specific target. Finally, it determines the specific location of the target in the spatial image by combining the anchor point information. By utilizing the relationship between the spatial image and the real map, users can achieve more accurate positioning using anchor point information, improving positioning accuracy and thus meeting current user needs and enhancing user experience.

A spatial image simulation method includes the following steps: constructing a DMD-based optical system simulation model; uniformly sampling the angle and intensity of illumination light within the illumination numerical aperture, and selecting a simulation area; for each illumination angle, simulating the complex amplitude distribution of the micromirror in the open state and the complex amplitude distribution of the micromirror in the closed state; obtaining the interference data of the micromirror at the entrance pupil plane for each illumination angle; obtaining the spatial frequency spectrum at the exit pupil plane for each illumination angle; simulating the corresponding light intensity distribution based on the complex amplitude distribution for each illumination angle, and superimposing the light intensities corresponding to all illumination samples to obtain the final light spot result. Based on the actual working scenario of the DMD, and considering that the tilt angle of the DMD micromirrors has a significant impact on its diffraction, the introduction of various tilt-induced phase differences and tilt factors results in more accurate simulation effects.