361 results about "Visual processing" patented technology

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

A safety monitoring system for a workspace area. The workspace area related to a region having automated moveable equipment. A plurality of vision-based imaging devices capturing time-synchronized image data of the workspace area. Each vision-based imaging device repeatedly capturing a time synchronized image of the workspace area from a respective viewpoint that is substantially different from the other respective vision-based imaging devices. A visual processing unit for analyzing the time-synchronized image data. The visual processing unit processes the captured image data for identifying a human from a non-human object within the workspace area. The visual processing unit further determining potential interactions between a human and the automated moveable equipment. The visual processing unit further generating control signals for enabling dynamic reconfiguration of the automated moveable equipment based on the potential interactions between the human and the automated moveable equipment in the workspace area.

The invention provides a visual processing device that has a hardware configuration that does not depend on the visual processing to be achieved. A visual processing device 1 is provided with a spatial processing portion 2 and a visual processing portion 3. The spatial processing portion 2 performs predetermined processing with respect to an input signal IS that has been received as input, and outputs the result as an unsharp signal US. The visual processing portion 3 outputs an output signal OS, which is the input signal IS after visual processing, based on a two-dimensional LUT 4 that lists the relationship between the input signal IS that has been received as input and the unsharp signal US, and the output signal OS.

An accelerated learning and rehabilitation system for teaching the performance of a musical instrument, a remotely operated system, a sport, a weapon, and for brain rehabilitation and other uses includes generating sensory cues including auditory, haptic and visual sensory cues capable of being perceived by a user. The generated sensory cues are applied to the user and are dependent on a position of at least one body member of a performer relative to a performance element of a performance object with which an event is performed. The sensory cues are effective for stimulating a various processing center of a brain of the user so that user learns how to position his body member corresponding to the position of the performer of the event. The sensory cues can include visual sensory cues effective for stimulating the visual processing center of the brain of the user. The visual sensory cues are synchronized with the other applied sensory cues so that the position of the body member of the performer is virtually visually indicated in synchronization with the other sensory cues so that the visual processing center is stimulated with a visual sensory cue in synchronization with the stimulation of other processing centers corresponding to the other sensory cues for teaching the user to perform a version of the event.

The invention discloses an accurate visual positioning and orienting method for a rotor wing unmanned aerial vehicle on the basis of an artificial marker. The accurate visual positioning and orienting method includes the following steps that the marker with a special pattern is installed on the surface of an artificial facility or the surface of a natural object; a camera is calibrated; the proportion mapping relation among the actual size of the marker, the relative distance between the marker and the camera and the size, in camera imaging, of the marker is set up, and the keeping distance between the unmanned aerial vehicle and the marker is set; the unmanned aerial vehicle is guided to fly to the position where the unmanned aerial vehicle is to be suspended, the unmanned aerial vehicle is adjusted so that the marker pattern can enter the visual field of the camera, and a visual recognition function is started; a visual processing computer compares the geometrical characteristic of the pattern shot currently and a standard pattern through visual analysis to obtain difference and transmits the difference to a flight control computer to generate a control law so that the unmanned aerial vehicle can be adjusted to eliminate the deviation of the position, the height and the course, and accurate positioning and orienting suspension is achieved. The accurate visual positioning and orienting method is high in independence, good in stability, high in reliability and beneficial for safety operation, nearby the artificial facility the natural object, of the unmanned aerial vehicle.

The invention provides a three-dimensional visual processing method of an extra high voltage transmission line, which comprises the following steps: synchronously acquiring laser point cloud data and digital image data along a transmission line corridor through an airborne laser radar measurement system, and carrying out three-dimensional visual processing and professional analysis in combination of line design parameters and operating parameters after data processing and three-dimensional modeling so as to provide an efficient means for the maintenance and the management of the transmission line of an electric power enterprise. The invention further provides a three-dimensional visual processing system for the extra high voltage transmission line, which comprises a three-dimensional data generation module and a three-dimensional data visual operation module, wherein the three-dimensional data generation module is used for receiving digital image data and laser point cloud data obtained by the laser radar measurement system and generating the three-dimensional scene of the transmission line corridor; and the three-dimensional data visual operation module is used for carrying out three-dimensional visual operation on the three-dimensional data of the transmission line corridor.

The invention discloses a travelling robot positioning system based on a single camera. In the system, a point model is adopted for representing an environmental model, an off-line map is calibrated, an action model and an observation model are established for carrying out position updating and road sign calibration, Monte Carto particle filter technology is adopted, particle swarm distribution with weights is adopted for representing robot pose estimation, the weights and the distribution of particles are updated through road sign matching processing, field particle distribution is rasterized, and a sub-region with maximal particle density is selected for positioning the robot. As an independent platform, the system greatly improves the map calibration technology on the environmental model, has great flexibility on the identification of ground line sections, and just needs re-calibration but not needs model re-establishment after environment change. The model reduces the matching complexity in visual processing and improves calculation efficiency. The Monte Carlo localization algorithm is expanded on the information integration processing technology, thus ensuring the real-time property and robustness of the system.

Disclosed is a rotor unmanned aircraft independent take-off and landing system based on three-layer triangle multi-color landing ground. The system comprises a small rotor unmanned aircraft (SRUA), an onboard sensor, a data processing unit, a flight control system, an onboard camera, landing ground, a wireless image transmission module, a wireless data transmission module and a ground monitor station, wherein the onboard sensor comprises an inertial measurement unit, a global positioning system (GPS) receiver, a barometer, an ultrasound device and the like, the data processing unit is used for integrating sensor data, the flight control system finishes route planning to achieve high accuracy control over the SRUA, the onboard camera is used for collecting images of the landing ground, the landing ground is a specially designed landing point for an unmanned aircraft, the wireless image transmission module can transmit the images to a ground station, the wireless data transmission module can achieve communication of data and instructions between the unmanned aircraft and the ground station, and the ground station is composed of a visual processing unit and a display terminal. According to the rotor unmanned aircraft independent take-off and landing system based on the three-layer triangle multi-color landing ground, the reliability of SRUA navigation messages is guaranteed, the control accuracy of the SRUA is increased, costs are low, the application is convenient, and important engineering values can be achieved.

The invention discloses a robot visual processing method based on an attention mechanism. The method includes the following steps that image preprocessing is conducted, wherein basic processing is conducted on an image and comprises color spatial switching, edge extracting, image conversion and image thresholding; feature extracting is conducted, wherein five kinds of feature information of the skin color, the color, the texture, the movement and the space coordinates of the preprocessed image are extracted; arbitration decision is conducted, wherein the extracted information is selectively distributed to an upper-layer function application subsystem needing the feature information according to a certain arbitration decision strategy; function application is conducted, wherein corresponding operation is conducted on the feature information which is submitted after arbitration decision to achieve function application, in other words, a direct implementation layer of visual application of a robot comprises five parts of human face detecting, color recognizing, movement detecting and tracking, gesture interaction and the attention mechanism. The robot visual processing method can provide more complete visual information of the human face, the skin color, the gesture and the like for the robot, and the movement detection capability and the tracking and planning capability are achieved.

The invention relates to a fluid thermal motion simulation system based on the SPH algorithm and belongs to the field of thermodynamics simulation and visual flowing. The method comprises the steps of conducting modeling on fluid according to calculation examples and calculation requirements, solving a fluid control equation and a modified equation based on the SPH algorithm to achieve analogue simulation of fluid Lagrange thermal motion, and finally showing the thermal motion process of fluid visually in the form of graphs and animations by means of the visual processing technology. Compared with an existing meshing CFD simulation system, the fluid thermal motion simulation system has the advantage that a more reasonable simulation result can be obtained when the system is used for simulating certain advanced non-linear problems such as the jet flow problem, the ocean motion problem, the dam break problem and the dynamic boundary problem. Compared with an existing mesh-free CFD simulation system, the fluid thermal motion simulation system has the advantages that calculation stability and calculation accuracy are improved, and the gap of fluid thermal motion simulation and turbulent flow simulation is filled.

The invention discloses a vehicle-mounted multi-rotor unmanned helicopter landing guidance control system and a guidance control method. The control system comprises a vehicle-mounted guidance subsystem and an airborne control subsystem, wherein the vehicle-mounted guidance subsystem mainly comprises two visual processing systems and a navigational computer. On the basis of the guidance control system and with the adoption of a binocular vision guidance method, a multi-rotor unmanned helicopter is accurately positioned according to data resolving of the two visual processing systems, a flying control computer controls the multi-rotor unmanned helicopter to land in the target position of a vehicle, the practicability of the multi-rotor unmanned helicopter is improved, and the application range of the multi-rotor unmanned helicopter is increased.

The invention discloses an intelligent robot patrol system for safety detection of a substation, which comprises a moving body, a base station and communication network equipment for connecting the moving body and the base station, wherein the moving body is used as a moving carrier and an information acquisition control carrier of the whole robot system and comprises a wireless communication subsystem, a moving station host, a motion control subsystem, a navigation and positioning system, a signal detection subsystem and a visual processing system; and the signal detection subsystem acquires and processes the appearance image, internal temperature and working noise information of the substation equipment, and transmits the information to the base station through the communication network equipment. The intelligent robot patrol system disclosed by the invention can work outdoors to replace the patrol personnel of the substation to finish the safety detection of the substation equipment. The system disclosed by the invention lowers the operating cost of the substation, improves the accuracy of the patrol work, and eliminates the personal potential safety hazards.

The invention discloses a visualization cooperative sharing method for simulation data in network environment, belonging to the technical field of data visualization for simulation data network communication. The method is characterized in that a simulation data visualization processing module is created at the server side to provide users a parameter submission interface and a processing engine, thus realizing visualization processing the simulation data document according to the necessary parameters, and a simulation data cooperative sharing module is created to provide users a public virtual environment, thus realizing a remote simultaneous display; a common browser is used at client side to provide an operating interface and the visualization parameters are sent to the business logic class in the visualization processing module for visual processing through the parameter submission interface and the processing result is cooperative displayed and annotated in an end to end model between client sides and between the client side and the server. The invention fills in the blank of simulation data visualization and cooperative sharing in network environment.

A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. These simulated cortical and sub-cortical areas are reentrantly connected and each area contains neuronal units representing both the mean activity level and the relative timing of the activity of groups of neurons. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. Globally distributed neuronal circuits that correspond to distinct objects in the visual field of NOMAD 10 are activated. These circuits, which are constrained by a reentrant neuroanatomy and modulated by behavior and synaptic plasticity, result in successful discrimination of objects. The brain-based device BBD is moveable, in a rich real-world environment involving continual changes in the size and location of visual stimuli due to self-generated or autonomous, movement, and shows that reentrant connectivity and dynamic synchronization provide an effective mechanism for binding the features of visual objects so as to reorganize object features such as color, shape and motion while distinguishing distinct objects in the environment.

A method and computer program product are provided for evaluating quality of an image. In accordance with the method a digital image is obtained and the digital image is analyzed using a first mental representation based upon a first level of human visual processing of an image to obtain a first perceptual image analysis measure. The digital image is also analyzed using a second mental representation based upon a second level of human visual processing of an image to obtain a second perceptual image analysis measure. An image quality evaluation measure is determined based upon the first perceptual image analysis measure and the second perceptual image analysis measure. The first and second mental representations are based upon different levels of human visual processing.

The invention relates to a millimeter wave radar and vision cooperative target detection and identification method based on a neural network. A millimeter wave radar can obtain information such as theposition and the speed of an object by transmitting and receiving millimeter waves. A camera can obtain a visual image of an object. The position information obtained by the millimeter wave radar ismapped to the image. The region of interest is delineated in the image feature map. The region of interest is sent to the deep learning neural network to be processed, and the identification and positioning information of the target can be obtained. According to the invention, a millimeter wave radar and visual processing combined mode is adopted to complete target detection and recognition tasks.By means of a deep learning neural network technology, the object positioning time is shortened, and the recognition accuracy is improved.

An efficient system and process is utilized to achieve encoding, decoding and transcoding of audio/visual signals, as desired within an audio/visual processing system. The system coordinates the operations of several optimum components to achieve the necessary encoding/decoding/transcoding operations. Most significantly, the coordinated use of both a parallel processor and a bitstream processor, along with most effective interface techniques, are utilized to most efficiently carry out processing operations. The bitstream processor generally carries out those operations which include timing and sequence information, while the parallel processor is available to perform processing steps which are most efficiently carried out in parallel. Such processing steps include the actual compression/decompression of video signals. When combined with a system controller to orchestrate operations, along with memory and related interface components, a system and method to efficiently encode, decode or transcode A/V data is achieved.

The invention discloses a traffic sign detection and identification method based on collaborative bionic vision in a complex city scene, which includes the following steps: A, obtaining multiple to-be-detected images in a continuous scene; B, obtaining a cluster collaboration map of the to-be-detected image set; C, obtaining an attention saliency map of each to-be-detected image; D, obtaining a collaboration saliency map corresponding to each to-be-detected image; E, locating a sign ROI (Region of Interest); F, carrying out two-level biologically inspired transformation on the sign ROI by using a forward channel; and H, using a feature transformation map and traffic sign template images pre-stored in a database to carry out Pearson correlation calculation to complete the identification ofthe to-be-detected images. In the method, visual processing of a target by the human brain is simulated, and bottom-up visual processing and top-down visual processing processes are integrated. The collaborative nature of global images is considered, so that image location is accurate, and the robustness of identification is strong.

The invention belongs to the technical field of computer vision, and discloses a salient region detection method for a complex scene. The method specifically comprises the following steps of: performing wavelet transformation on an input image; establishing a multi-dimensional image; extracting features; and overlapping the features. The invention discloses the salient region detection method for the complex scene on the basis of a conventional Itti model based on a human brain visual processing mechanism. The method, image information is decomposed into a high-frequency component matrix and a low-frequency component matrix by utilizing discrete wavelet transformation; then the multi-dimensional image is established; and an intensity feature pyramid and a direction feature pyramid are extracted from the multi-dimensional image to integrate into a salient image finally. Because of the consideration of detailed information of the image, the detailed detection effect is improved well; and the detection effect is consistent with the observation effect of human eyes so as to meet the vision features of the human eyes better.

The invention discloses a visual guidance system and a visual guidance method for a dispenser. The visual guidance system comprises a camera, visual processing software, a dispenser control system and a hand-held box, wherein the camera is used for photographing a workpiece; the visual processing software is used for processing image data to obtain coordinate positioning data of the workpiece and installed in a computer; the dispenser control system is used for controlling movement loci and working parameters of the dispenser; the hand-held box is used for editing and setting dispensing or gumming loci of the workpiece. According to the scheme, the positioning data of the workpiece are obtained in a visual guidance manner, and thus, products can be placed optionally; jig positioning is not needed; hundreds of same products can be placed once within a working range; coordinates and angles of all product workpieces can be accurately found through one-time photography positioning of visual images; dispensing or gumming processing is performed on the product workpieces according to the dispensing or gumming loci set by the hand-held box in the control system. therefore, the scheme has the advantages that the efficiency is high, the cost is reduced, and the process is simple.

The invention provides a unit and a method for detecting the appearance of a three dimensional pin of an integrated circuit package chip. The unit is centered in a visual system, and the visual system comprises a camera, an illuminating system, an optical path system and visual processing software, wherein the camera adopts an array CCD camera, the illuminating system adopts an LED light source, the optical path system comprises a prism group, and the visual processing software has corresponding processing on denoising, deblurring, edge extracting and image coupling. The visual processing software is adopted to acquire an image, compare the acquired image with a template image, identify the acquired image, and output and store a detection result. The unit and the method for detecting the appearance can detect three dimensional defects of the pin, and have the advantages of various types of detection defects, high detection precision, high efficiency, and upgradable and expandable function of the software.

The invention discloses a vehicle-mounted binocular camera calibration and parameter verification method. The method includes a calibration stage and a verification stage, wherein the verification stage includes static verification and dynamic verification. According to the static verification, standing conical barrel markers before an automobile are adopted; internal and external parameters of a camera obtained in a binocular ranging formula verification calibration stage are utilized; the conical barrels are distributed at view regions of the imaging of the camera; and the relative error rate of the view regions is tested. According to the method of the invention, based on binocular camera ranging principles, a vehicle-mounted binocular camera ranging model for an outdoor real scene is constructed, and an operation basis can be provided for the reconstruction of a real three-dimensional scene in the binocular camera visual processing field. Vehicle-mounted binocular cameras are one of key research directions in realizing intelligent driving; and intelligent driving usually adopts a high-precision radar to obtain high-quality perception effects, while, cost is also very high, and the vehicle-mounted binocular camera calibration and parameter verification method of the invention can be matched with an ordinary radar and camera so as to improve vehicle intelligent identification accuracy to a level within 1 m.