199 results about "Visual distance" patented technology

A vision test apparatus includes a viewing assembly connected to a chassis wherein the viewing assembly creates an optical path between an image display and at least one front lens. A near / far assembly includes a secondary lens selectively operable with the front lens to create virtual visual distances. An optional transparent panel intersects the optical path and operates at least partially obscure the image display so that the vision testing apparatus has a means to isolate a portion of the image display. A lifting mechanism is operable to raise or lower the viewing assembly for patients of various heights. The viewing apparatus is also rotatable independently of said chassis to present natural lines of sight to a patient during near and far testing.

A distance indicating apparatus and method determine the distance between a fixed object and a moving object (such as a motor vehicle, airplane or water vessel) by using two spaced-apart projectors to project a distance indicating scale (which can include non-linear markings) and an index along two different paths onto a projection target surface where they are visible to create a visual distance indication that varies as the fixed and moving objects vary in distance less than a certain distance.

A monitoring camera with a far infrared capability has a cylindrical body (10), a lens hood (20), a luminous body (30) with multiple far infrared light emitting diodes (LEDs) and a lens cover (40). The lens hood (20) is a hollow cylinder and is divided into an inner segment and an enlarged outer segment (23) communicating with the inner segment. The enlarged outer portion (23) provides an enlarged compartment to hold a larger luminous body (30), which can hold more far infrared LEDs so the monitoring camera can see object at greater visual distances. Additionally, the field of vision the monitoring camera is also greater.

The invention discloses an unmanned aerial vehicle target tracking method and system. The method includes that an image capture unit comprises a zooming CCD camera and a zooming laser light supplement device, and the zooming laser light supplement device is used for supplementing light for the monitored region of the zooming CCD camera to allow the zooming CCD camera to acquire sharp images of the monitored region; a pan tilt control unit controls the pan tilt in horizontal and vertical directions and the focal distance of the zooming CCD camera to allow a tracked target to be in the center of the vision of the zooming CCD camera constantly; an intelligent analysis unit adopts the method of extracting a moving target from the gray level image sequence and detects the moving target from the images; after extraction and positioning of the moving target, a flying control unit feeds the moving state of the target back to an unmanned aerial vehicle, and the unmanned aerial vehicle flies to track the ground dynamic target automatically. The method has the advantages that the visual distance is long, and the unmanned aerial vehicle is capable of tracking a moving target in a completely dark environment.

The invention relates to an automatic image annotation method integrating depth features and semantic neighborhood. In view of the problem that manual selection of features takes time and energy in the traditional image annotation method, the problem that the traditional label propagation algorithm ignores semantic neighborhood, which results in visual similarity and semantic dissimilarity and affects the annotation result, and the like, the invention puts forward an automatic image annotation method integrating depth features and semantic neighbors. First, a unified and adaptive depth feature extraction framework based on a depth convolutional neural network (CNN) is built; then, a training set is grouped semantically, and a neighborhood image set of an image to be annotated is built; and finally, the contribution value of each label of the neighborhood images is calculated according to the visual distance, and the contribution values are sorted to get annotation keywords. The method is simple and flexible, and is of strong practicability.

The invention relates to a wireless locating method which can be used for location with high degree of accuracy in a mixed environment of sight distance and non-line of sight. The method first sets up motion equations and observation equations of wireless location and then expresses state transition probability model of the non-line of sight and the sight distance, which can make use of rectified extended Kalman filter (EKF) to estimate the motion state and the non-line of sight state according to measured values obtained by every base station and then blends the motion state and the non-line of sight state together through the use of a data fusion method to get the estimation of the motion state at the present moment and at last on-line wireless device position solutions can be realized through loop iteration. The method of the invention can effectively solve the non-line of sight influence in wireless location so as to effectively improve the motion state estimation of wireless devices, which has robustness to LOS / NLOS transition probability in different environments. At the same time, the method is suitable for VLSI parallel processing, operand can meet real time requirements, and the method is suitable for different signal measuring methods such as TOA, RSS, etc.

The invention relates to a method and a system for evaluating a stereoscopic image display panel. The method comprises the following steps: firstly, displaying a diction frame on the stereoscopic image display panel, wherein a display surface of the stereoscopic image display panel is provided with a first normal vector; secondly, sensing the brightness of the detection frame by an image sensing device, wherein a sensing surface of the image sensing device is provided with a second normal vector, and an angle is formed between the first normal vector and the second normal vector; thirdly, sensing the brightness of the detection frame under different angles, wherein when the first angle is formed between the first normal vector and the second normal vector, the image sensing device can sense the highest brightness of the detection frame; analyzing the brightness uniformity of the detection frame at the first angle; and measuring the optimal visual distance and calculating the mutual interference degree. The method and the system are beneficial to evaluating the display quality of the stereoscopic image display panel in a quantification mode.

The invention discloses a distance-sensing-based wireless screen transmission system and method. The system comprises a television terminal and mobile intelligent equipment, wherein a distance signal transmitter and screen transmission middleware are arranged in the television terminal; a distance signal receiver wirelessly connected with the distance signal transmitter and a screen transmission client wirelessly connected with the screen transmission middleware are arranged in the mobile intelligent equipment; when the set visual distance of the television terminal is exceeded, a process of screen transmission from the television terminal to the screen transmission client of the mobile intelligent equipment is started; when the set visual distance is not exceeded, a process of screen transmission from the screen transmission client of the mobile intelligent equipment to the television terminal is started. Compared with the prior art, the system and the method have the advantages that a function of transfer from the television terminal to the mobile intelligent equipment for continuous playing is automatically realized when a user is far away from the television terminal, and when the user enters the visual range of the television terminal, a function of transfer from the mobile intelligent equipment to the television terminal for continuous playing is automatically realized, so that the adhesiveness of the user to the television terminal and user experiences are improved.

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 provides an automatic homing control method for unexpected stopping of the motor of an unmanned aerial vehicle, comprising the steps of homing course determination and automatic homing control. According the position information of a known emergency landing field, two points in the expected direction of the emergency landing field are selected as flight points, the longitudes and the latitudes of the two points are the longitudes and the latitudes of the flight points, and a flight course defined by the two flight points is a homing course; the automatic homing control is realized by the control of an elevator steering engine and an aileron steering engine; the elevator steering engine is controlled by air speed, the ileron steering engine is controlled by side setover; by the method, automatic homing control can be realized without the influence of objective conditions, including weather, weather in a short period of time and visual distance, when the motor stops unexpectedly, an airplane can fly towards the emergency landing field at an optimal glide speed, non-power landing chance is obtained, the unmanned aerial vehicle homes automatically, thus to reduce loss.

The invention belongs to the sub-field of the learning theory and application in the technical field of computer application, and relates to a CCA and 2PKNN based automatic image annotation method, in order to solve problems of a semantic gap, a weak annotation, and category imbalance that exist in an automatic image annotation task. The method comprises: firstly, for a semantic gap problem, mapping two features to a CCA sub-space, and solving a distance between the two features in the sub-space; for a weak annotation problem, establishing a semantic space for each annotation; for a category imbalance problem, by combining a KNN algorithm, finding out k nearest neighbors of a test image in the semantic space of each annotation, constituting the k nearest neighbors to an image sub-set, and by using a visual distance between the sub-set and the test image, and by combining a Bayesian formula, assigning a few annotations with the highest score to the test image; and finally, optimizing an image annotation result by using correlation between annotations. The method disclosed by the present invention has a greater degree of improvement for image annotation performance.

The invention relates to a method for enabling an infrared photography device to adapt to light, which comprises the following steps: firstly, presetting a shading object whose shading quantity can be adjusted on the surface of an image sensor of the infrared photography device, when the light intensity of the infrared photography device in a shooting scene, which is obtained from the measure of a photoreceptor or analyzing a pre-shot image by an analyzing unit, exceeds the preset value, confirming the ratio of the occupied area of a to-be shot object in the to-be formed image according to the focal distance of the infrared photography device, the clear and visual distance range of a corresponding lens, the optimum distance for imaging of the to-be shot object, then adjusting the shielding object according to the ratio and enabling the object to cover the corresponding part of the image sensor, which enables the uncovered part of the image sensor to induct infrared light reflected by the to-be shot object, thereby forming a corresponding clear image, preventing the defect of unclear images due to too strong light, reducing the monitoring risks exist in an existing infrared photography device for monitoring.

The invention provides a method for adjusting display quality automatically on the basis of optical condition, and includes the following steps: (a). sense the external optical condition to obtain the sensing value; (b). calculate the sensing value to obtain the adjustment parameter; (c). display the system's working parameter (brightness and gamma coefficient) through the adjustment parameters so as to procure better display quality (visual brightness, grayness, and visual distance). The invention also provides a device for adjusting display quality automatically.

A system and computer program product are provided for improving the utility of video recommendations in a content system via de-duplication of highly similar thumbnail images. For each video added to an online content system, a thumbnail image is generated and stored. For each such thumbnail image a compressed representation is computed. During playback of a video, a set of related videos is generated. For each video in the set, the corresponding thumbnail image and its compressed representation are retrieved. A measure of visual distance is computed for each pair in the set of representations, and measures indicating excess similarity are identified. Similarity is reduced via selective removal of some of the representations. An identification of the thumbnail images and videos corresponding to the remaining representations is produced.

The invention discloses a machine-vision-based curve speed limitation calculating method and speeding warning device; the method comprises the steps of measuring a visual distance of a curve unequal-visual-distance poor section; according to the visual distance, calculating a safety speed that allows a vehicle to stop emergently in the case of emergencies; comparing the safety speed with a current speed, and giving a warning to a driver if the current speed is higher than the safety speed; the method is based on a vehicle device, has no need for assistance from road facilities, and has the advantages that the cost is low, calculation is speed, operating speed is high and the reliability is high, traffic accidents due to the fact that a driver assumes good road conditions ahead and gains an insufficient braking distance are prevented, and support is provided for speed safety control theoretical methods for poor sections.

Apparatus and method to generate an alternative receiver off-hook (AROH) notification signal to a user of a telephone system suffering from an extended off-hook condition. The alternative receiver off-hook notification signal may be, e.g., an e-mail message sent to a preferred e-mail address, a paging message sent to a preferred pager number, a facsimile message sent to a preferred facsimile machine, and / or an audible message sent to a preferred alternative telephone. More than one alternative receiver off-hook notification device may be used, and are preferably prioritized such that as one notification device fails to rectify the off-hook condition, the next priority notification device will be utilized after a suitable delay. Thus, the user of the telephone system can receive notification of the off-hook condition of their telephone system even when not within an audible or visual distance of the telephone system.

The invention discloses an accurate target distance measurement method based on monocular vision, belongs to the field of computer visual computation, and is mainly applied to the target distance measurement technology of a front vehicle in intelligent driving scene perception. The method is mainly divided into four major parts, including camera calibration, target distance measurement key point selection, target distance measurement and error correction. A proper distance measurement key point is selected, various distance measurement algorithms are combined, a distance measurement error is corrected, and finally, the accurate distance of the target is obtained. The method can be applied to various industries based on visual computation, for example, the method can be applied to the target distance measurement of the front vehicle of an autonomous vehicle, urban traffic vehicle detection and behavior intention analysis, intelligent robot target distance measurement and the like, and the method exhibits higher accuracy than other visual distance measurement methods.

A vehicle safety system includes several image capturing units, an image processing unit, a control unit and a display unit, in which an environmental photography technique and a visual distance detection technique are integrated so as to detect a distance between a nearby object and the vehicle to warn the driver during moving or parking operation, and an automatic door detection technique is integrated to identify rear side objects prior to opening of a vehicle door so to prevent undesired accident from happening.

The invention discloses an object loading method and device, a storage medium and an electronic device. The method comprises the steps of determining a visual space located in an acquisition range ofan image acquisition device in a virtual scene provided by a target application, the image acquisition device being an acquisition device currently located at a first position in the virtual scene; Determining a target subspace in the visual space within a visual distance threshold indicated by a target type in a plurality of types based on the first position, wherein each type in the plurality oftypes is used for indicating one visual distance threshold of an object in the subspace of the virtual scene; Obtaining an object of which the visual distance is not greater than a visual distance threshold indicated by the target type in the target subspace as a to-be-rendered object; And loading the to-be-rendered object in the storage resource of the user terminal installed with the target application, wherein the user terminal is used for rendering the image of the virtual scene. According to the method and the device, the technical problem that more hardware resources are occupied for rendering the object in the virtual scene in the related art is solved.

The invention discloses a visual function optimization training control system and a control method thereof. The system comprises a training device, a microcomputer, a range finding device which tests user vision distances, and an image pickup device which acquires ocular surface or iris sizes and patterns of users. The microcomputer is connected with the training device in a both-way communication manner. The output ends of the training device are connected with the input end of the range finding device and the input end of the image pickup device. The output end of the range finding device and the output end of the image pickup device are connected with the input end of the microcomputer. The microcomputer stores data transmitted by the training device, the range finding device, and the image pickup device. The visual function optimization training control system preferably solves defects in the prior art that operationality is not good, and professional guidance is needed. The system can record training data by the microcomputer in real time, so that even though a user uses fragmented time to train, the system can record all the process, and through analysis, gives an adjustment scheme, thereby greatly improving practicality and effectiveness of vision optimization training.

The invention relates to a 3D (three dimension) visual distance and visual angle measuring system and a method therefor. The 3D visual distance and visual angle measuring system comprises 3D display equipment, a receiving device and a master control device, the 3D display equipment is used for displaying a first color testing image and a second color testing image in a side-by-side mode, the receiving device comprises a first imaging device and a second imaging device which are arranged abreast, and horizontal distance between the first imaging device and the second imaging device is adjustable. The master control device is used for receiving images acquired by the first imaging device and the second imaging device. By adjusting receiving distance and rotation angle between the 3D displaying equipment and the receiving device, the range of the receiving distance and the range of the rotation angle, meeting the visual condition, are measured and used as the 3D visual distance and the 3D visual angle respectively. The testing images displayed by the 3D display equipment are received by the receiving device and analyzed by the master control device. By adjusting the receiving distance and the rotation angle between the 3D display equipment and the receiving device, the visual distance and the visual angle which meet the visual condition are measured, and important parameters of the 3D display equipment can be measured effectively.

The invention provides a GIS (geographic information system)-based quantitative evaluation method of visual landscape influence and relates to the fields including landscape ecology, the GIS and urban planning. Based on the GIS, the quantitative evaluation is performed; an effective method to reduce the visual landscape influence is provided to solve the technical problem of determining the maximum ecological land area in the urban development. The technical scheme includes 1, establishing a digital terrain model according to basically topographic data, and generating a three-dimensional display image; 2, selecting sensitive landscape viewpoints; 3, analyzing exposure degree of the viewpoints; 4, analyzing visual distances; and 5, analyzing the influenced sensitive points, evaluating section lines among buildings in a site, and providing a layout plan of shield greening. In this way, the visual landscape environmental influence is evaluated in an objective and quantitative manner, and practicability in building and maintenance of the visual landscape sensitive areas including natural protection areas and historical cultural relics and remains is achieved.

The invention discloses an intelligent glass wearing adjustment method and device. The intelligent glass wearing adjustment method includes the following steps that: a left eye display screen and / or a right eye display screen is made to display a preset figure in the middle of the left eye display screen and / or the right eye display screen in a full-screen manner; adjustment instructions inputted by a user are received, wherein the adjustment instructions comprise at least one of instructions selected from a left visual distance adjustment instruction, a right visual distance adjustment instruction, a left pupil distance adjustment instruction and a right pupil distance adjustment instruction; and corresponding adjustment mechanisms are controlled according to the adjustment instructions to adjust the position of the left eye display screen or the right eye display screen, so that the preset figure can be clearly imaged in the eyes of the user, wherein the adjustment mechanisms corresponding to the left visual distance adjustment instruction, the right visual distance adjustment instruction, the left pupil distance adjustment instruction and the right pupil distance adjustment instruction are a left visual distance adjustment mechanism, a right visual distance adjustment mechanism, a left pupil distance adjustment mechanism and a right pupil distance adjustment mechanism respectively. The intelligent glass wearing adjustment method and device of the invention are simple in control process. According to the method and device, visual distance adjustment and pupil distance adjustment can be realized without an externally-arranged AP graphic software interface required, and therefore, the application cost of the method and device is greatly reduced, and the application range of the method and device can be wider.

The present invention discloses a vehicle rear view image display method and device, a storage medium and electronic equipment. The display method comprises: obtaining vehicle rear view images acquired by a plurality of cameras provided on a current vehicle; calibrating each camera, to determine external reference information and internal reference information of the camera; jointly calibrating the plurality of cameras by using the external parameter information and the internal reference information of each camera, to determine the transformation relationship between the vehicle rear view images; converting each vehicle rear view image into an image under the same virtual view angle according to the transformation relationship; and synthesizing the images converted under the same virtual view angle and then displaying. By applying the display method, the problem that one single rear view camera cannot simultaneously combine the visual angle and the visual distance is solved, the images of the two sides and the rear of the vehicle are perfectly presented, and effective assistance is provided for the driving of the vehicle.

The invention discloses a network-oriented building information model data publishing and visualization method. The concrete steps are as follows: reading the building model file and extracting the building model information; According to the model extraction information, the corresponding relationship between geometry and attributes of the model is generated and stored in the network database. estab,ishing a model-distance layering display mapping table; The octree spatial cube index is established according to the model, and the spatial position index information of each building component is calculated. The output component compresses the file to carry on the network release; Each child node of the index is traversed according to the viewpoint position, and the distance R from the center point of the child node cube to the viewpoint position and the visual distance D of the component are compared to form a real-time loading component list; Obtain the component model published on thenetwork from the list and drawing it. The invention can reduce the difficulty of releasing the building information model network, quickly realize the network release of the model data, and fill theinformation gap caused by the huge building information model data which is difficult to be shared on the network.

An omni-directional naked eye 3D display device and a working principle thereof relates to the field of equipment for generating the three-dimensional effect. The omni-directional naked eye 3D display device comprises a rotating shaft and a motor driving rotation of the rotating shaft. A side wall of the rotating shaft is provided with a plurality of pixel luminous points which are uniformly distributed. Distances between the pixel luminous points which are at the same height and arranged around the side wall of the rotating shaft and the center of the rotating shaft are different. The beneficial effects are that when the motor drives the rotating shaft to rotate at the high speed, the pixel luminous points of different extension lengths form a column lattice screen of a certain depth around the rotating shaft. When the pixel luminous points emit light in sequence, people can directly observe light emitted by the pixel luminous points at different distances, and a visual distance difference is formed, so that a good three-dimensional effect is formed, and the 360-degree omni-directional naked eye 3D display is achieved.

The invention discloses an image splicing reconstruction and overall monitoring method for improving visibility and visual distance, which comprises the following steps of: (1) arranging cameras according to given visibility spacing distance; (2) enabling each camera to respectively capture images in monitoring areas in given directions and ranges, and respectively transmitting the captured images to a computer for removing noise, rain, fog and distortion, enhancing the images, detecting abnormal events and carrying out other preliminary treatment processes; and (3) enabling an image processing system of the computer to carry out splicing reconstruction on the images in the section range between two adjacent cameras to form overall monitoring images, and modifying the spliced images by utilizing the augmented-reality technology according to the known information so as to acquire overall monitoring images and detect abnormal events. The method disclosed by the invention can be used for acquiring wide-range and long-path scene reconstruction images with sufficient visibility and visual distance, can be used for important video monitoring places, is especially suitable for solving the problem of insufficient visibility when a train runs or an airplane in an airport takes off or lands, and provides comprehensive observation information for the safe operation of the train or the airplane.

A visual distance nerve measuring electrode wire used to measure the length of electrical conduction of a nerve. The device includes a single flexible wire surrounded by an outer insulating sheath longitudinally aligned and surrounding the wire. An recording electrode is attached to one end of the wire and a plug connector that attaches to a suitable recording device is attached to opposite end of the wire. Formed on the insulating sheath are a plurality of small visual distance indicators formed on the wire at known distances and integrals. During use, the physician is able to accurate map the path of a nerve and determine the conductivity of the nerve at different points.