9426 results about "Projector" patented technology

The invention relates to a method and a system for inhibiting strong mutual reflection based on polarization complementary logic coding. The method comprises the following steps: acquiring calibration parameters of a camera and a projector; generating a polarization phase shift stripe based on the calibration parameter, designing a high-frequency complementary logic code word, and embedding the high-frequency complementary logic code word into a polarization channel through polarization modulation to obtain a composite stripe pattern; the method comprises the following steps: calculating to obtain a linear polarization degree image through an acquired multi-angle polarization image, extracting a high-reflection region from the linear polarization degree image by adopting an adaptive threshold segmentation method, and carrying out binarization processing on the linear polarization degree image to obtain a binarized linear polarization degree mask; and on the basis of a decoding range of a binary linear polarization degree mask constraint high-reflection region, decoding the composite stripe pattern to obtain absolute phase level information, and performing noise suppression on the absolute phase level information by adopting a self-adaptive threshold algorithm. The method can effectively solve the influence of mutual reflection and high dynamic range of the surfaces of the measured object, and improves the precision and stability of three-dimensional reconstruction.

A detector for material detection of at least one object is disclosed. The detector includes:at least one projector for illuminating at least one object with at least one illumination pattern;at least one flood light source configured for scene illumination;at least one sensor element having a matrix of optical sensors,andat least one evaluation device.

The invention relates to a non-standard special-shaped part high-precision measurement and verification method based on three-dimensional vision, and belongs to the field of three-dimensional reconstruction and computer vision. Point cloud data of a non-standard special-shaped part are obtained through multi-angle scanning by means of multi-camera-projector collaborative layout in combination with a structured light coding technology and a phase shift code technology; the method comprises the following steps of: acquiring point cloud data, ensuring comprehensiveness and accuracy of the data, realizing high-precision alignment of the point cloud data through matching an underivative optimization algorithm with image feature points, and performing fusion, denoising and registration processing on the acquired point cloud data to ensure that point clouds acquired from a plurality of angles can be effectively fused so as to reconstruct a high-precision three-dimensional model. In the measurement and verification stage, the deviation between the point cloud data and the CAD model is measured through a standard coordinate system, multi-stage registration and a high-precision algorithm, rapid detection and size verification of the geometric deviation of the industrial workpiece are achieved, and reliable technical support is provided for quality control.

The invention relates to the technical field of automatic driving, and particularly discloses an automatic driving interpretation text determination method based on a large visual language model, and the method comprises the steps: obtaining a multi-view camera image, a BEV map image and a text query template; video features in the multi-view camera image are extracted, and image features in the BEV map image are extracted; aligning the image features with the video features based on a modal encoder; encoding the text query template, generating a text mark, mapping the aligned image features and video features to a text embedding space based on a shared projector, generating a visual mark, and inputting the visual mark and the text mark into an LLM backbone model; comprehensive three-dimensional dynamic / static situation perception and visual representation unification of a local scene and a global map are realized, the 3D LVLM architecture has excellent three-dimensional space understanding and dynamic time reasoning capabilities, and the accuracy and safety of end-to-end automatic driving are effectively improved.

A video output device includes a projector module configured to output a content image along a radiation direction, a first rotating device configured to rotate at least a portion of the projector module about a first axis that is parallel to the radiation direction, a second rotating device configured to rotate the projector module about a second axis intersecting the first axis, a substrate electrically connected to the second rotating device, and a connector electrically connected to the substrate through a first wire, electrically connected to the second rotating device through a second wire. While the projector module rotates about the second axis, the connector is configured to prevent the first wire and the second wire from being twisted.

The invention provides an online car-hailing passenger position rapid positioning method based on voice interaction and visual perspective, and relates to the technical field of intelligent traffic, and the method comprises the following steps: arranging a sensor, a camera, a metal reflective curtain and a projector on a car; voice information of a driver is collected, and an intelligent voice wake-up model is designed; constructing a scenarized speech recognition model; detecting a pedestrian target for the panoramic image by using a sound-image multi-level cross-modal detection model, and obtaining appearance and posture feature detection information of the pedestrian target; a static feature matching method and a dynamic feature recognition model are designed, and passenger feature information matching is achieved; based on a matching result, determining position information of the passenger; acquiring a passenger direction taking the vehicle as a reference origin through position estimation in the panoramic image; according to the direction estimation result, a projector in the vehicle is controlled, the passenger information is projected on a curtain in the corresponding direction in the vehicle, and meanwhile voice information is used for giving a prompt.

The invention provides a construction and training method and device for an eye fundus image multi-task model, and belongs to the field of image processing, and the method comprises the steps: S1, collecting and sorting a public eye fundus image data set, constructing an image text pair according to a real label, and carrying out the two-stage training of a multi-modal large language model, the multi-mode large language model comprises a visual encoder, a visual projector and a large language model; s2, inputting the image data # imgabs0 # into a visual encoder in the trained multi-modal large language model to obtain an enhanced visual feature # imgabs1 #, and extracting a visual feature # imgabs3 # from the # imgabs2 # through a visual projector; and S3, embedding the text input # imgabs4 # to obtain a text feature # imgabs5 #, splicing the text feature # imgabs5 # with the visual feature # imgabs6 #, and inputting the spliced text feature # imgabs5 # and the visual feature # imgabs6 # into a large language model to generate a prediction text A. According to the method, a wide range of fundus image data is collected for training, multilevel lesion features in the fundus image are fully utilized, and the performance of the model for executing a fundus disease auxiliary diagnosis task can be effectively improved.

The invention belongs to the field of three-dimensional measurement, and discloses a three-dimensional reconstruction method based on structured light image enhancement, which comprises the following steps of: generating a stripe coding pattern: generating four sine stripe patterns with different phase shift amounts by using MATLAB programming, and projecting the sine stripe patterns to the surface of an object to be measured; calibrating a camera; calibrating a projector; the method comprises the following steps: capturing four phase shift stripe images projected on the surface of an object by using a camera, and preprocessing the stripe images collected by the camera through a GF-CL image enhancement algorithm; acquiring a wrapped phase: extracting wrapped phase distribution through a four-step phase calculation formula; generating a Gray code; carrying out binarization conversion; unwrapping the phase by using a complementary Gray code; and performing three-dimensional reconstruction. According to the invention, the contrast is improved by using an image enhancement algorithm, and noise is effectively removed. In addition, three-dimensional reconstruction is carried out by combining a four-step phase shift method and a complementary Gray code, so that the error of edge hopping in the traditional Gray code reconstruction is eliminated, and no hopping and interruption are ensured when a real phase is obtained.

The invention relates to an interactive projection optimization method for an exhibition hall, and the method comprises the following steps: before projection is started, sensing the change of ambient light in the exhibition hall through a sensor, and evaluating the illumination conditions of different regions; acquiring a spatial layout in the exhibition hall by using a spatial modeling technology, and identifying wall surface and object shielding information of a projection area; gestures, actions and watching directions of audiences are captured in real time through a camera or infrared induction equipment; dynamically adjusting the projection content according to the action and position of the audience; comprising the following steps: when an audience approaches a certain exhibit, amplifying related projection content or switching to a detailed display mode; collecting behavior data of each audience including stopping time and interaction times of the audience in front of an exhibit; interest points of audiences are predicted through a machine learning model, and projection content related to audience interests is recommended; and adjusting the brightness and color parameters of each projector according to the actual projection area and content of each projection device.

An electronic device includes: a projector; a camera; one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the electronic device to: control the projector to display a projected image on a screen, wherein the screen includes surfaces; control the camera to obtain a captured image including the surfaces and the projected image; identify, based on the captured image, shapes of the surfaces and areas of the projected image projected onto the surfaces; and correct the projected image, based on the shapes of the surfaces and the areas of the projected image, by transforming the projected image into one from among a three-dimensional image and a flat image.

A projector includes an exterior housing having a first wall and a second wall opposite from each other, a third wall and a fourth wall opposite from each other, and a fifth wall and a sixth wall opposite from each other, a speaker unit including a first sound emitter provided in the speaker housing, and an intake fan. The first wall includes a communication port serving as a sound emission port of the first sound emitter, the fifth wall includes a contact portion that comes into contact with an installation surface, a noncontact portion that does not come into contact with the installation surface, and an air intake port provided at the noncontact portion, and the air intake fan communicates with the communication port and the air intake port.

The invention discloses an optical three-dimensional space converter. The optical three-dimensional space converter comprises a long-focus lens, a short-focus micro-lens array and a relative position regulator, one of the two lenses is used for receiving light from an object space and imaging the light into an intermediate image; one is used for converting the intermediate image into a virtual image or a real image of a three-dimensional space; the intermediate image horizontal turner turns the intermediate image left and right in the horizontal direction for real image space conversion; the relative position adjuster is used for adjusting the relative position of the long-focus lens and the short-focus micro lens array. The optical three-dimensional space converter can provide a wide visual field, and the size of an image obtained through compression or amplification of the three-dimensional space converter can be adjusted. The lens can be applied to a wide-view-field real image and virtual image telescope for naked eye observation, a wide-view-field real image and virtual image microscope for naked eye observation, a wide-view-field three-dimensional camera or a wide-view-field three-dimensional projector, an artificial eye and the like.

A waveguide display includes a substrate, one or more projectors for projecting display light for different fields of view, two or more input gratings configured to couple the display light for different fields of view into the substrate, and a two-dimensional grating characterized by three or more different grating vectors that include grating vectors same as the grating vectors of the two or more input gratings. The two-dimensional grating is configured to couple the display light for different fields of view out of the substrate at a two-dimensional array of locations of the substrate. The two-dimensional grating includes a two-dimensional array of grating elements aligned along a plurality of directions or a plurality of layers of one-dimensional gratings characterized by different grating vectors.

Disclosed herein is an ultrasound imaging system including an ultrasound probe and a blood vessel visualization device. The ultrasound probe includes an ultrasound generation device and is configured to detect one or more blood vessels. The blood vessel visualization device is configured to project a depiction of the blood vessel topography within a target area. The blood vessel visualization device can include one or more near-infrared / infrared emitters configured to generate infrared / near-infrared waves within the target area, one or more near-infrared / infrared sensors configured to detect the difference in reflective properties of tissue and blood vessels within the target area, and one or more visual light projectors configured to project a blood vessel visualization depiction of the blood vessel topography onto the target area.

A system for three-dimensional spatial perception underwater that includes a primary submersible vehicle. Frontward facing projectors are used to scan beams of light across a selected field of underwater view. Further, event cameras with pixels triggered by events are used to detect corresponding spots of the scanned beams that are reflected from underwater objects or surfaces. Circuitry is configured to determine positions of the objects based on the pixels that are triggered. Additionally, pilot submersible vehicles the projectors and event cameras are tethered to the primary submersible vehicle to provide extend detection of spots corresponding to reflections from underwater objects or surfaces.

Apparatus, including a retaining structure (54), positioned near a subject's eye that has a pupil with a diameter, an optical combiner (52A) mounted on the structure before the eye, and a pixelated screen (60A) having an array of variably transparent pixels coating the combiner. There is an image capturing device (68A) mounted on the structure to capture an image of a scene viewed by the eye, and a projector (64A) is mounted on the structure to project at least one of a portion of the captured image and a stored image onto a section of the screen at a selected location thereof. A processor (26) renders the screen section at least partially opaque, selects the section location in response to a region of interest in the scene identified by analysis of the captured image, and determines a dimension of the section in response to the pupil diameter.

The invention relates to the technical field of multimedia regulation and control, in particular to a regulation and control system for a digital multimedia exhibition hall, which comprises a multimedia content control module for managing a digital screen, a projector and audio multimedia in the exhibition hall in real time and realizing dynamic switching of display contents and multimedia linkage; the environment regulation and control module is responsible for controlling light, sound, temperature and humidity in the exhibition hall, synchronously adjusting the exhibition hall environment and exhibition content, monitoring environment parameters in real time by using an intelligent sensor, providing an intelligent adjustment scheme, and monitoring behaviors of visitors in real time by using a sensor, a camera and intelligent bracelet equipment. The digital multimedia exhibition hall regulation and control system integrates an intelligent control technology, audience behavior monitoring and data analysis, and has the functions of real-time regulation and control, dynamic interaction, data feedback and optimization and the like. Through the unified central control system, the exhibition hall can intelligently adjust the multimedia content and environment according to the actual exhibition content and the behaviors of visitors, and the efficient and flexible exhibition effect is achieved.

The invention provides a robot control method and device, equipment and a storage medium, and relates to the technical field of robot control. The method comprises the steps of obtaining robot data of a robot executing a task, and determining a learning data set according to the data; building a first robot action prediction model based on the initial visual language model; obtaining a second robot action prediction model according to the data set and the first robot action prediction model; a robot time sequence, image data and a language instruction are taken and input into a second robot action prediction model, the time sequence data are input into a second language model through a preset time sequence model and a multi-layer projector, the image data are input into the second language model through a visual encoder and the projector, and the language instruction is input into the second language model through the first language model; the second language model outputs continuous actions to be executed; and completing the task according to continuous action control. And the time sequence model captures time sequence characteristics, so that the second robot action prediction model outputs continuous actions to be executed, and the operation smoothness and continuity are effectively guaranteed.

An ultrasound probe for sustained spatial attention. The ultrasound probe can include a display screen on a visible side of the ultrasound probe, the display screen coupled to ultrasound imaging components in the ultrasound probe, the ultrasound imaging components configured to capture live subcutaneous images and render the live subcutaneous images on the display screen. The ultrasound probe can further include one or more needle trajectories depicted on the display over the live subcutaneous images, the one or more needle trajectories configured to assist a user in guided insertion of a needle into an anatomical target under the ultrasound probe. The ultrasound probe can further include a light-pattern projector on the visible side of the ultrasound probe adjacent the display screen, the light-pattern projector configured to project a light pattern corresponding to a subcutaneous depth accessible by a needle.

The invention belongs to the technical field of stereoscopic vision, and discloses a depth estimation method based on adaptive structured light. The method comprises the following steps: acquiring a camera visual angle RGB image in a scene that a projector is turned off, acquiring a camera visual angle coarse disparity map through a semi-global matching algorithm, generating a projector visual angle RGB image and a projector visual angle coarse disparity map through projection transformation, and inputting the images into an adaptive structured light generation module to generate an adaptive structured light projection pattern; the adaptive structured light projection pattern generates a camera visual angle structured light image through a physical perception differentiable imaging module; the parallax attention depth estimation module receives the camera visual angle RGB image and the camera visual angle structured light image and outputs a depth estimation result; and taking the depth error as a loss function, jointly training and optimizing the adaptive structured light generation module and the parallax attention depth estimation module, and performing depth estimation after optimization. The optimal structured light mode is dynamically generated according to the real-time information of the scene, and the problem that traditional fixed-mode structured light cannot adapt to scene changes is solved.

The invention relates to the technical field of detection, in particular to a complex shell detection method and system based on structured light scanning. The method comprises the following steps: calculating a wrapped phase value and a phase modulation amplitude of each pixel point under each frequency, calculating discrete probability distribution containing candidate stripe series and a corresponding probability for each pixel point based on a multi-frequency wrapped phase difference, generating an initial pixel confidence map, and constructing an energy function; the penalty weight of the smooth item is determined according to the phase modulation amplitude and the wrapped phase gradient local variance, obtaining an initial fringe order distribution diagram, updating discrete probability distribution by using an initial pixel confidence map, re-minimizing an energy function to obtain a corrected fringe order distribution diagram, and reconstructing a final three-dimensional shape. And iteratively optimizing a projector principal point and a radial distortion coefficient in system calibration parameters. According to the scheme, the geometric details of the surface can be reserved, and the processing effect and the measurement precision of the complex curved surface and the high-curvature area are improved.

The invention discloses a fringe projection three-dimensional shape measurement method based on frequency domain and time domain joint coding, and the method comprises the following steps: firstly, embedding a multi-frequency three-step phase shift fringe pattern in the vertical direction based on multi-scale region division, introducing four-step phase shift and complementary Gray code joint coding in the horizontal direction, generating a coding pattern set, and carrying out the projection; after an image is collected, frequency domain transformation and time domain decoding are carried out respectively, and a vertical dominant frequency position, a horizontal period number and a wrapped phase are obtained; then, combining a main frequency position in the vertical direction with a period number and a wrapped phase in the horizontal direction, and extracting a space coordinate of a direct illumination component based on frequency position invariance; and finally, establishing a pixel homonymy point mapping relation between the projector and the camera, and realizing high-precision three-dimensional reconstruction. Compared with a traditional frequency shift method, the method has the advantages that projection patterns are greatly reduced, reconstruction precision and anti-interference performance are improved, and the method is suitable for dynamic three-dimensional measurement under complex illumination conditions such as specular reflection, semitransparent shielding and subsurface scattering.

The invention relates to the technical field of projectors, in particular to an intelligent picture geometric distortion control method based on machine vision and an image projector, and the method comprises the steps: obtaining image data of a to-be-corrected projection picture, and carrying out the feature analysis of the image data, so as to obtain a distortion feature value; matching a correction optimization model corresponding to the distortion characteristic value, so as to call a correction parameter from a preset correction parameter library through the correction optimization model; simulating a correction process corresponding to the projection picture to be corrected according to the correction parameter; the correction parameters are adjusted according to the correction process, and the projection picture to be corrected is corrected according to the adjusted correction parameters, the corresponding correction optimization model is matched based on the characteristic values, the adaptive correction parameters can be dynamically called from the preset parameter library, the limitation of a traditional fixed algorithm is changed, and the correction efficiency is improved. The correction strategy is highly coupled with the actual distortion scene, and the correction efficiency and pertinence are remarkably improved.

The invention discloses a projection single attitude calibration method, system and device and a medium, and relates to the technical field of computer vision and projection interaction.The method comprises the steps that a plurality of calibration patterns are generated and projected to a calibration plane, gray level images are collected, corner point detection and sub-pixel refinement processing are carried out, and a projection single attitude calibration result is obtained. The method comprises the following steps: acquiring an angular point corresponding relation between a projector image and a camera image, carrying out iterative solution on a projection matrix of a projector and a projection matrix of a camera, separating an internal parameter matrix and an external parameter matrix, calculating a basic matrix and an essential matrix, and decomposing to obtain a rotation matrix and a translation vector of the camera relative to the projector; camera imaging distortion is estimated, a distortion correction coefficient is obtained, and distortion correction is carried out; and counting a re-projection error generated in the correction process, and adjusting parameters of the projector and the camera until the error meets a preset precision requirement. Projector parameter calculation is completed through projection single posture calibration, posture adjustment is not needed in the calibration process, the automation degree is improved, and meanwhile manual intervention is reduced.

1. Name of the Design Product: Projector. 2. Use of the Design Product: For projecting images, videos, etc. 3. Design Feature of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Feature: Perspective View 1.

A method of reducing optical artifacts includes injecting a light beam generated by an illumination source into a polarizing beam splitter (PBS), reflecting a spatially defined portion of the light beam from a display panel, reflecting, at an interface in the PBS, the spatially defined portion of the light beam towards a projector lens, passing at least a portion of the spatially defined portion of the light beam through a circular polarizer disposed between the PBS and the projector lens, reflecting, by one or more elements of the projector lens, a return portion of the spatially defined portion of the light beam, and attenuating, at the circular polarizer, the return portion of the spatially defined portion of the light beam.

The invention provides a visual token removal method for video understanding model reasoning acceleration, which is based on a visual attention contraction phenomenon, dynamically evaluates the importance of visual tokens and screens and removes redundant tokens by analyzing the distribution and change of attention weights of the visual tokens in a reasoning pre-filling stage. Therefore, calculation overhead is reduced and reasoning efficiency is improved. The method comprises the following steps: carrying out frame sampling and region division on video input to obtain image blocks with space-time structures; the method comprises the following steps: extracting visual features by using a visual encoder and a projector and generating a visual token; splicing the visual token with the system token and the text token to form multi-modal input; tracking the attention change trend of the text to the vision to evaluate the importance of the visual token; the recognition of unimportant visual tokens is accelerated through a grouping and aggregation mode, and the unimportant visual tokens are gradually removed in reasoning. While the output quality is maintained, the method significantly reduces the reasoning time and memory occupation.

The invention provides a structured light calibration method and system under three coordinates, and relates to the technical field of structured light imaging, and the method comprises the steps: 1, collecting calibration plate images of a plurality of angles, extracting sub-pixel angular point data, constructing a camera parameter description mode including radial and tangential distortion, and based on a pinhole imaging principle, carrying out the calibration of a plurality of angles; solving an internal parameter matrix and a distortion coefficient of the camera by establishing a linear equation set so as to obtain calibrated camera parameters; 2, projecting a composite coding pattern to the calibration plate based on the calibrated camera parameters, synchronously acquiring related images, decoding phase and coding data, establishing a corresponding relation between projector pixels and three-dimensional space points of the calibration plate by using the calibrated camera parameters, and solving an internal and external parameter matrix of the projector to obtain initial projector parameters; according to the invention, through multi-view image acquisition, composite coding projection and three-dimensional target matching, structured light collaborative calibration of camera and projector parameters is realized.

The invention discloses a projector projection brightness adaptive control method and system based on deep learning, and relates to the technical field of projector control, and the method comprises the steps: S1, constructing a deep learning model; s2, ambient light perception and data acquisition; s3, implementing a local brightness adjustment algorithm; s4, real-time brightness adjustment and feedback are carried out; and S5, performing user interaction and personalized setting. According to the projector projection brightness adaptive control method and system based on deep learning, a hybrid architecture combining multi-task learning and a convolutional neural network is designed, and the hybrid architecture is used for learning a complex relationship between ambient light and projection picture brightness and an optimal strategy for brightness adjustment of each region in a picture; and the adjustment strategy is applied to the projection picture, the brightness level of each area is adjusted in real time, and then the local brightness adjustment strategy is adjusted in combination with feedback information of the brightness adjustment effect, so that the optimal projection brightness adaptive control effect of the projector is achieved.

The present disclosure relates to an electric fireplace with an under-mounted flame generator module, comprising a firebox in which an ornament module is provided and a base located under the firebox; wherein the base is provided with an accommodating chamber, and at least one flame generator module is installed in the accommodating chamber, the flame generator module comprises a flame generator.