100 results about "Visual cognition" patented technology

The invention discloses a semantic image restoration method based on a DenseNet generative adversarial network. The method comprises the following steps of preprocessing collected images, and constructing a training and testing data set; constructing a DenseNet generative adversarial network; training a DenseNet generation adversarial network stage; and finally, realizing repair processing of thedefect image by using the trained network. Under the framework of the generative adversarial network, the DenseNet structure is introduced, a new loss function is constructed to optimize the network,the gradient disappearance is reduced, network parameters are reduced, meanwhile, transmission and utilization of features are improved, and the similarity and visual effect of large-area semantic information missing image restoration are improved and improved. Examples show that face image restoration with serious defect information can be achieved, and compared with other existing methods, the restoration results better conform to visual cognition.

The invention discloses a face image restoration method based on a generation antagonism network. The method comprises the following steps: a face data set is preprocessed, and a face image with a specific size is obtained by face recognition of the collected image; In the training phase, the collected face images are used as dataset to train the generating network and discriminant network, aimingat obtaining more realistic images through the generating network. In order to solve the problems of instability of training and mode collapse in the network, the least square loss is used as the loss function of discriminant network. In the repairing phase, a special mask is automatically added to the original image to simulate the real missing area, and the masked face image is input into the optimized depth convolution to generate an antagonistic network. The relevant random parameters are obtained through context loss and two antagonistic losses, and the repairing information is obtainedthrough the generated network. The invention can not only solve the face image repairing with serious defective information, but also generate a face repairing image which is more consistent with visual cognition.

The invention provides an image semantic retrieving method based on a visual attention mechanism model, which is driven by data completely, thus understanding the semantics of images from an angle of a user as far as possible under the condition of no need to increase the interactive burden of the user, and being close to the perception of the user so as to improve the retrieving performance. The image semantic retrieving method has the advantages that: (1) a visual attention mechanism theory in a visual cognition theory is introduced into image retrieve; (2) the method is a completely bottom-up retrieve mode, thus having no need of user burden brought by user feedback; and (3) obvious edge information and obvious regional information in images are simultaneously considered, the mode of retrieval integration is realized, and the performance of image retrieval is improved.

The invention discloses a visual computing-based optical field imaging device and method. The visual computing-based optical field imaging device comprises an optical imaging system, an integrated near-infrared light source, a data transmission module, a high-capacity cache unit, a human-machine interaction device, a logic control unit and a processing unit. The invention provides an optical field imaging device based on a computing and imaging interactive mutual-beneficial mode; and with optical field imaging as the leading and deep perception and high-dynamic range imaging as the assistance, visual perception intelligent and visual cognition precision are realized, novel visual information with characteristics of large depth-of-field, wide dynamic range, actual three dimension, high resolution and capability of collecting and editing is obtained, and accuracy and robustness of a visual computing task are improved through data innovation of a visual perception source; and the optical field imaging device is widely applied to the fields of internet of things, security monitoring and control, biological recognition, intelligent transportation system, aerial remote sensing, digital medical treatment, animation media and the like.

The invention discloses a visual cognitive behavioral learning automatic training system of big and small mice. The visual cognitive behavioral learning automatic training system of the big and small mice comprises a training box, a main control unit, a video monitor, a microcontroller, a reward unit, a punishment unit, and a visual clue display unit. The microcontroller is connected with the main control unit through a universal serial bus (USB) interface in a communication mode. The training box is a structure that an opening is formed in the upper portion of the training box. The video monitor is arranged on the upper portion of the training box. The reward unit is composed of a food plate which is arranged on the lower portion of the training box, an infrared induction switch which is arranged on one side of the training box, and a water supply pipe which is arranged above the food plate and controlled by an electric control valve. The punishment unit is composed of a sweep frequency ultrasonic speaker which is arranged on the upper portion of the training box. The visual clue display unit comprises a capacitance-type touch screen and a display screen. The capacitance-type touch screen is arranged inside a frame. The lower frame of the frame is hinged with the side wall of the training box. The upper frame of the frame is connected with the side wall of the training box through a tension spring. The display screen is arranged at a rear position of the capacitance-type touch screen. The visual cognitive behavioral learning automatic training system of the big and small mice has the advantages that a visual cognitive behavioral learning automatic training to experimental animals is achieved.

The invention discloses a transmission line malfunction visualized report method and system based on a Web and a GIS. The system comprises a web server side (1), a switch (2) and a client side (3). The web server side (1) is used for acquiring transmission line malfunction information, locating a malfunction to a specific tower, and providing Web services by combining a satellite map. The switch (2) is used for enabling the web server side (1) and the client side (3) to be connected. The client side (3) is used for visualized displaying of the transmission line malfunction. After electric transmission lines of a power grid break down, the system is triggered to work, the Web service side locates the malfunction tower position and generates an XML file after malfunction information computational analysis, and provides Web services to the client side (3) to carry out visualized displaying of the malfunction information. According to the transmission line malfunction visualized report method and system based on the Web and the GIS, the transmission line malfunction information is displayed visually in real time, the visual cognition degree of power transmission network malfunctions is improved, the capacities that power enterprise personnel display important information in a large amount of power system data and monitor the states of the power grid can be improved, and the reliability of the system is guaranteed.

The invention describes a lighting system apparatus intended to increase safety during operation of mainly large or lengthy vehicles and combination vehicles in darkness and poor visibility. The lighting system is comprised of a single or plurality of light sources designed for vehicular use and housed in a durable thermally conductive material having a lens through which light is projected. Said light source housings are attached to the vehicle whereby, when actuated by a controller, sufficient illumination is directed onto the specific areas on the vehicle(s) and ground surface peripheral to said vehicle or combination of vehicles at one or more areas along the sides and rear or trailing portions to the extent that the driver can more safely control said vehicle(s) because of increased visual cognition of the aforementioned areas via the rear-view mirrors. Persons proximate are also more aware of said vehicle(s) position and pathway by means of said illumination and can more readily avoid dangerous contact.

The invention provides a computerized assessment system, as well as a method, that can be used for diagnosing driving skills in a driver of the class of vehicle drivers having impaired abilities. The system utilizes a) at least one prerecorded audio / visual training session capable of diagnosing the visual cognition, visual memory and visual recall abilities of a motor vehicle driver, where the training session comprises interactive driving simulations presented through four active visual zones; b) computerized means for digitally assessing driver actions in response to simulated driving situations presented by the interactive driving simulations; c) a database that records the driver actions; and d) a computer program capable of developing a diagnostic assessment of the visual cognition, visual memory and visual recall abilities of the driver.

The invention relates to a tunnel middle section illumination standard measuring and calculating method based on safe visual cognition. The tunnel middle section illumination standard measuring and calculating method comprises the steps of (a) setting a light environment of a tunnel middle section; (b) arranging an object at the tunnel middle section; (c) enabling a driver to drive a motor vehicle to run towards the objected at different speeds and measuring visual cognition distances D of the objected, found by the driver, at the different speeds; (d) resetting average brightness L of the tunnel middle section and repeating the steps (b) and (c) and obtaining multiple groups of visual cognition distances D corresponding to different brightness L; (e) utilizing an S model to conduct fitting on the multiple groups of visual cognition distances D and brightness L data to calculate a D and L relation model formula (shown in the description); (f) substituting a safe visual distance D0 at highest limit speed of a tunnel parting into a model formula to obtain a dynamic minimum brightness value L0 required by the tunnel middle section in the tunnel light environment. The invention further provides a system for achieving the method. By means of the method and system, the accuracy of brightness safety evaluation of the tunnel middle section is improved, meanwhile the method is simple and convenient to operate, and a reference basis is provided for road traffic safety research.

The invention discloses a bird vision cognition learning and training system which comprises a host computer control system, a slavery computer control system and a training box, wherein the host computer control system consists of a PC (personal computer), a camera and a liquid crystal display screen; the video signal output end of the camera is connected with the video signal input end of the PC; the video signal output end of the PC is connected with the video signal input end of the liquid crystal display screen; the slavery computer control system consists of a single chip microcomputer, an awarding unit, a punishment unit and a behavior feedback unit; the output control interface of the single chip computer is connected with input control interfaces of the awarding unit and the punishment unit separately; a first communication interface of the single chip microcomputer is in communication connection with the PC; a second communication interface of the single chip microcomputer is in communication connection with the feedback unit. On the basis of physiological needs of birds on food after food control, the birds are fed through the awarding unit after the birds have correct behaviors, and the feeding quantity can be adjusted through opening and closing time of an electromagnet, thus being easy to control.

The invention discloses a rolling bearing variable-work-condition fault diagnosis method based on visual cognition, and relates to a rolling bearing variable-work-condition fault diagnosis technology. The method comprises the following steps of converting rolling bearing vibration signals under the variable work conditions into a two-dimensional image by using a recurrence plot technology; performing feature extraction on the two-dimensional image by utilizing an SURF (speed up robust features) algorithm to obtain the vision invariability high-dimension fault feature vector; performing dimension reduction processing on the high-dimension feature vector by using an equal-distance mapping Isomap algorithm to obtain the low-dimension stable feature vector; using an SVD (singular value decomposition) algorithm for extracting the feature matrix singular value built by the low-dimension stable feature vector to form the final feature vector; performing fault classification on the final feature vector by using the trained classifier; performing fault diagnosis on the rolling bearing under the variable work conditions. The invention provides a novel solution for the rolling bearing fault diagnosis.

The invention belongs to the technical field of image processing, and particularly relates to a method for extracting primary colors of a painting work image. The method comprises the following steps: 1, color clustering, to be specific, inputting the painting work image, and selecting 15 colors; 2, factor quantification, to be specific, analyzing area factors, purity factors and comparison factors of the 15 colors; 3, color sequencing, to be specific, grading the three types of factors in the step 2 to obtain grades of the 15 colors; 4, color selection, to be specific, selecting 5 colors according to the grade sequence and the selection rule in the step 3. The method disclosed by the invention has the benefits that the primary accurate colors of the painting work image can be obtained, so that the primary colors instruct image coloring and image color transmission to achieve a better effect. By the adoption of the method, a painting process of a person is fully considered, and quantification is realized, so that the primary colors of the painting work image conforming to human visual cognition are obtained. The method is qualitatively improved in the result quality aspect.

The invention provides an overall image information synthetic method driven by a visual cognition model, which comprises the following steps: creating a image significance visual cognition model, and defining a column width selection driving energy function for the overall image information synthesis; structuring an overall image information composite image model, defining a node and computing the connecting side weight of the node; adopting the Dijkstra algorithm to search in the overall image information composite image model to enable the overall composite image significance visual cognition difference to reach the minimum clipping path; and selecting certain pixel column width in each frame of image in intensive video sequence images according to the minimum clipping path order, arranging the selected pixel column width according to sequence code, and synthesizing the pixel column width into overall composite image. According to the method, the function of visual cognition model of people on the overall scene picture synthesis can be fully expressed, synthesis flaw caused by multi-dimension mobile interference can be reasonably avoided, and key contents of wide large-scale scene can be effectively repeated.

The invention discloses an ocean distributed target detection method based on collective evolution of agents, relating to the ocean target detection technology. The method comprises the steps of utilizing a synthetic aperture radar image, selecting an ocean background image in advance according to the ocean conditions of the ocean areas and computing the average gray distribution curve and dissimilarity degree distribution as the templates to establish a database according to the radar parameters. For the image areas to be detected, the radar parameters are used for retrieving the corresponding templates and the false-alarm probability is given to obtain the dissimilarity degree threshold of the gray distribution curve. If the dissimilarity degree is more than the threshold, the point is the target, and if the dissimilarity degree is less than the threshold, the point is the background. Upper and lower agents are designed according to the visual cognition process of human eyes. The lower agent carries out preliminary sensing and the upper agent computes the basic characteristic parameters of the distributed targets based on sensing, extracts information and carries out tendency association and combination. The upper and lower agents complete final target detection through collective cooperation. The method is fast and accurate in target detection.

The invention discloses a visual target active attention training system for sober rats / mice. The visual target active attention training system comprises a master control unit, a behavior restricting high table, a visual stimulation display unit, an infrared eye movement monitoring unit, a basic controller, a water feeding rewarding unit and a video monitoring unit. The visual target active attention training system has the advantages that active attention of the tested animals to visual targets can be effectively improved, the conditioned reflex time of the tested rats / mice from generating the attention to the visual targets to behavior feedback is shortened, and the duration of the active attention of the tested rats / mice to the visual targets is prolonged in experimental procedures; the visual target active attention training system supports various visual cognition experimental paradigms, and is easy to extent and high in universality; the visual target active attention training system has important application value and high experimental demands in research fields of coding of neurons of vision systems, brain cognition functions, drug evaluation, plasticity of neural networks and the like.

The invention provides a vehicle-mounted head rising display system and a user interface projection display method thereof in order to solve the problem that due to the fact that an image of an existing vehicle-mounted head rising display system is too dark, display content of a projected user interface can be hardly distinguished, or due to the fact that the image is too bright, discomfort is generated. The user interface projection display method comprises the steps that environment brightness is detected, wherein a photoreceptor is adopted for detecting the environment brightness of a car and transmits the environment brightness to a microcontrol unit in the vehicle-mounted head rising display system; user interface projection is displayed, wherein after the microcontrol unit acquires the environment brightness, the environment brightness is compared with preset brightness, when the environment brightness is larger than or equal to the preset brightness, the high-visual-cognition user interface projection is selected to be displayed, and when the environment brightness is smaller than the preset brightness, the mild and comfortable user interface projection is selected to be displayed. According to the method, the clear degree of a user interface and the comfort of human eyes can be comprehensively considered according to different environment brightnesses, and the high-visual-cognition comfortable user interface is automatically switched.

A visual cognition system immersed in a medium with object and the system is also an object. The system includes means for conveying energy, which include one or more dispersive elements. The system includes means for sensing energy. The means for sensing include a plurality of detectors. The system includes means for modeling sensed energy, thereby creating a sensed energy model. The sensed energy model represents the sensed energy at a plurality of frequency bands, a plurality of polarization states, a plurality of positions and a plurality of times, using the sensed data. The system includes means for modeling a scene, thereby creating a scene model. The scene model represents the scene in three-dimensional space. The means for modeling a scene uses the sensed energy model from a plurality of directions at a plurality of times.

The invention discloses a product preference image recognition system and method of under a visual cognition neural mechanism. The product preference image recognition system comprises a remote measuring type eye tracker, a computer B, a computer A, a computer C and an electroencephalograph, wherein the remote measuring type eye tracker and the electroencephalograph are connected to the computer Band the computer C respectively; the computer B and the computer C are connected to the computer A respectively; the computer A is used for storing an observation stimulation material of a product tobe detected and analyzing a collected material; the remote measuring type eye tracker and the electroencephalograph are used for collecting eye movement data and collecting electroencephalographic data respectively. According to the product preference image recognition system and method, disclosed by the invention, comprehensive analysis and match of the eye movement data and the electroencephalographic data can be carried out, a product preference image recognition is realized and the recognition method is more scientific and more accurate.

The invention provides a psychological state data analysis method based on image visual cognition and a VR system, and relates to the technical field of psychological assessment systems. Comprising the steps that an experiment normal form presentation module presents a test image to a tester; the VR end data acquisition module acquires original eye movement data and pupil data of a testee; the psychological state data analysis module is used for respectively preprocessing and analyzing the original eye movement data and pupil data acquired by the VR end data acquisition module; and the multi-terminal PC management module controls the experiment normal form presentation module, the VR end data acquisition module and the psychological state data analysis module. The invention provides an image free viewing normal form and a task driving normal form based on an attention deviation theory and a pupil reaction theory; an image-based psychological evaluation system with immersion and interactivity is established on lightweight VR equipment, and simultaneous testing of multiple pieces of equipment is realized.

The invention discloses a force-directed segmented bone parallel coordinates plot clustering data bundling method. By adopting the innovative design of the bundling method, a linear layout after the bundling is improved, and a problem of a conventional parallel coordinates plot clustering data bundling method of visual cognition deviation of data distribution characteristics is solved.

The invention provides a traffic safety facility for a roundabout of a rural-urban continuum and a design method of the traffic safety facility, aiming to improve the speed perception and the direction perception of a driver when the driver drives at the roundabout of the rural-urban continuum and improve the visual cognition capability of the driver to pedestrians crossing the street and barriers in a roundabout range. The facility comprises strip vertical face marker lines at the lower edge and the top of a roundabout annular-island curbstone; concrete separation piles are arranged between the outer side edge line of the roundabout annular-island curbstone and the outer side edge line of a road; concrete separation piles are arranged between the road side edge line of each road of the roundabout and a slope edge line; steel fixed separation piles and LED (Light Emitting Diode) lamp poles are arranged on pedestrian crosswalks and the lane edges at the sides of the roundabout, corresponding to the pedestrian crosswalks. The method adopts a low-cost road marker line and visual induction system and does not relate to a large-scale road infrastructure, so that the investment is small, the construction is easy and the effect is rapid to realize; the driving safety of the roads of the rural-urban continuum can be improved.

The invention provides an experimental system for measuring brain load in multi-task visual cognition and a method. The system consists of an adjustable seat, a virtual vision interface display device and electroencephalogram signal acquiring and processing equipment, the adjustable seat and the virtual vision interface display device are used for simulating visual cognition tasks under various work conditions, the electroencephalogram signal acquiring and processing equipment is used for synchronously acquiring human electroencephalogram signals in a simulated visual cognition process, and acquisition and extraction of the electroencephalogram signals in a visual cognition scheme under the multiple tasks can be realized by the experimental system. The electroencephalogram signals of visual cognition under the different tasks are compared by means of analysis of electroencephalogram complexity, and the corresponding relationship between brain waves and brain activities is obtained, and accordingly brain load conditions in a visual cognition process can be judged.

A method and system for cooperative diversity visual cognition in a wireless sensor network is disclosed. The method and system are capable of solving distributed visual cognition tasks (for example, online simultaneous reconstruction of 3D models of a large area) by using multiple video streams and exploiting cooperative diversity video sensing information while ensuring an optimal tradeoff between energy consumption and video quality of images received from said multiple video streams.

The invention discloses a metaphorical map structure generation method considering hierarchical characteristics of semantic data. The method comprises a data preparation stage and a map construction stage, wherein the map construction stage comprises the steps of 1, constructing a metaphorical map framework; and 2, performing map finishing on the metaphorical map framework. Through the method, mapdisplay expression can be performed on the semantic data with the hierarchical relational characteristics, structural characteristics of the data are highlighted, data content is visually expressed,and data property characteristics are displayed; the visual cognition talent and familiarity on maps of a human are fully utilized to promote understanding and cognition of abstract data; and a new data visualization mode is provided, and by using the metaphorical map as a carrier, it is convenient to introduce map relevant technologies and methods to assist analysis of the abstract data without positioning characteristics.

The invention provides a medical infusion speed evaluation method and system. The medical infusion speed evaluation method is a method which determines a weight initial value of an influence factor, determines a weight value of the influence factor according to the weight initial value and then determines an evaluation result according to the weight value so as to achieve evaluation on safety and drug efficacy of an infusion speed according to crowds, diseases and drugs, and is convenient for people to have more visual cognition on safety and drug efficacy of the infusion speed.

The invention provides a traffic sign classification method and device. The traffic sign classification method comprises the steps of obtaining the visual cognition understanding time data of multipleexperimenters on each block of traffic signs to be classified; categorizing the traffic signs to be classified based on the visual cognition understanding time data. The traffic sign classification device is used for executing the above method. The invention is advantageous in that the features of the traffic sign layout and the visual cognition understanding time of drivers to the traffic signsare comprehensively taken into consideration, and the traffic signs are reasonably classified; the accuracy of the research of the traffic sign information threshold can be enhanced; accurate theory base is provided for traffic signs in road setting.

The invention discloses a visual environment light condition adjustable visual cognition time tester and a testing method thereof. The tester comprises a visual environment generation module, an observation camera bellows, a visual operation generation module and a control / timing module, wherein the visual environment generation module is used for forming uniform tested visual environment with adjustable brightness on a screen after a light source is adjusted by an optical device group; the screen is arranged in the observation camera bellows; the visual operation generation module can project a visual operation image with adjustable shape, size, brightness, color and position on the screen; the visual environment generation module and the visual operation generation module are positioned at two sides of the observation camera bellows; and the control / timing module is used for controlling the visual operation generation module to project the preset tested visual operation onto the screen, and triggering timing. The tester has high simulation degree, various variations of visual environment lighting condition, and rich and systematic visual operation information. Testing on human body visual cognition and response function influence related to light quality can be developed by using the tester and the method.

The invention belongs to the technical field of digital imaging, particularly relates to a ship intelligent navigation digital sand table system based on an electronic chart, and aims to solve the problem that a ship navigation environment of a specified sea area cannot be visually displayed in a three-dimensional space in the prior art. According to the invention, the digital sand table interaction interface and the three-dimensional digital sand table model are generated according to the electronic chart data and the target ship information data; instruction information sent by a user is received based on the digital sand table interaction interface, the digital sand table model is dynamically adjusted in real time according to the instruction information, and the three-dimensional digital sand table model is dynamically displayed through the virtual scene display unit. Visual cognition display is performed on the ship navigation environment of the designated sea area in the three-dimensional space so that the system has the characteristics of digitization and intellectualization; the digital sand table model is dynamically adjusted according to the instruction information data,the ship operation state is visually displayed from all directions, and interestingness and interactivity are improved.

The invention provides a visual cognition theory-based product form optimization design method, which comprises the following steps of: selecting a target sample picture and extracting design elements, acquiring eye movement indexes more remarkably related to the design elements by utilizing an eye movement tracking experiment, and establishing a design element and eye movement index relation model and relation model verification; According to the invention, the visual cognition theory is utilized to establish a product morphological design element and eye movement index relation model, so that direct data of visual perception selective attention can be obtained; the influence degree of different design elements on the visual response of the user is analyzed through the model; A product form optimization design method is formed, a product form optimization design is driven based on objective data of user cognition from the perspective of taking a user as the center, a designer can be helped to seek a reliable basis for optimizing the product form from the objective data of the user cognition, and therefore the scientificity and reasonability of the design are improved.

The invention discloses a pattern design method based on shape grammar and a neural network. The pattern design method comprises the following steps: step 1, carrying out pattern parameterization based on shape grammar: 1) feature analysis and extraction; 2) rule definition and coding method construction; 3) rule reuse and parameter evolution generation design; 4) detecting and visualizing of a rule reuse result; step 2, constructing a user visual cognition image space through acquisition of a pattern composition sample and quantification of a visual cognition image; and step 3, constructing aneural network-based design parameter and style imagination relationship model, optimizing the neural network relationship model by using a genetic algorithm to obtain an optimal pattern design parameter, and completing pattern design. The method has the advantages that the optimal design parameter solution meeting the imagination value can be provided, and the style imagination requirements of consumers are met.