180 results about "Eyes vision" patented technology

The invention relates to an on-board intelligent alarming method and a device, wherein, the method combines a longitudinal anti-collision pre-warning method based on the single-eye vision and an accident automatic help-calling method, realizes preventing the rear-end accidents, strives for helping time, reduces injuries and deaths, effectively prevents the collision accidents and personnel deaths caused by the collision, and improves the running safety of the automobile; the device mainly comprises three parts: an on-board terminal, a monitoring center and a user end; the method and the device use the machine vision technique to differentiate the moving vehicles in the front, have high precision and wide visible range, can effectively probe the obstacles, reduce the error reporting possibility and prevent the collision accidents. The method and the device can improve the safety of the vehicle, thus having extremely large application value and prospect.

The majority of applications for head mounted display (HMD) users, irrespective of whether they are for short-term, long-term, low vision, augmented reality, etc. yield a conflicting set of tradeoffs between user comfort and minimal fatigue and strain during use, ease of attachment, minimizing intrusiveness and aesthetics which must be concurrently balanced with and are often in conflict with providing an optical vision system that provides the user with a wide field of view and high image resolution whilst also offering a large exit pupil for eye placement with sufficient eye clearance. Further, individual users' needs vary as do their needs with the general task at-hand, visual focus, and various regions-of-interest within their field of view. To address these issues, it is necessary to provide a high performance optical system, eyepiece design, and system features which overcome these limitations.

A 2D/3D switchable image display device is provided. The device includes an image panel, a backlight unit arranged at the rear side of the image panel, and a lenticular lens sheet arranged between the image panel and the backlight unit. The backlight unit includes a plurality of segment light sources for a left eye vision range which emit a light for a left eye vision range, and a plurality of segment light sources for a right eye vision range which emit a light for a right eye vision range. The segment light sources for the left eye vision range and the segment light sources for the right eye vision range are alternately arranged to form a surface light source. The lenticular lens sheet includes a plurality of semi-cylindrical lenses arranged in a direction perpendicular to a viewing direction of both eyes of a viewer.

The invention discloses a system for real-time identifying urban traffic lights based on single eye vision and a GPS integrated navigation system. The system establishes a map of traffic lights in an off-line manner through the methods of interactive image annotation, camera calibration, 3D position recovery, etc., and provides position coordinates and semantic attributes of the traffic lights under the globally positioned GPS coordinate system. Upon online detection, with the established offline map of traffic lights as a prior, an area of interest is determined by solving the substantial scope of the traffic lights in images in combination with the pose position, and the identification of the color segmentation and shapes of the traffic lights are carried out by using form information of the traffic lights in the area of interest. The system is applicable to road conditions and scenarios of different kinds, implements stable and long-distance detection sensing of the traffic lights under various environments. Since the system adopts a low-cost and low-power consumption navigation device, an image acquisition device and a computer platform, the system can be widely applied to the fields of vision navigation of driverless vehicles, vision auxiliary driving of intelligent vehicles, etc.

The invention provides a method and a digital video device used for generating three-dimensional image effects; wherein, the device comprises a signal input interface, a backlight and display, a processor, a frame buffer and a backlight controller; the frame buffer is used for loading in left-eye vision image frames and right-eye vision image frames and writing the left-eye vision image frames and right-eye vision image frames into the display; the processor is used for controlling the left-eye vision image frames and right-eye vision image frames to be loaded in the frame buffer, controlling the left-eye vision image frames and right-eye vision image frames to be written into the display, and controlling the left-eye vision image frames and right-eye vision image frames to be displayed on the display; the backlight controller is used for controlling the backlight to be closed during a process when the left-eye vision image frames and right-eye vision image frames are being written into the display, and controlling the backlight to be started in a process when the left-eye vision image frames and right-eye vision image frames are being displayed on the display.

The invention discloses a multi-focus image fusion method based on non-subsampled Contourlet transform and a depth information incentive PCNN (Pulse Coupled Neural Network). The method comprises the following steps of generating a low-frequency sub-band image and a series of high-frequency sub-band images after carrying out multi-scale and multidirectional non-subsampled Contourlet transform on input multi-focus source images; adopting edge information energy based on sub-band coefficients to low-frequency sub-bands to obtain low-frequency sub-band coefficients and adopting a modified PCNN model to high-frequency sub-bands to determine each band-pass sub-band coefficient; and lastly, obtaining a fused image through non-subsampled Contourlet inverse transform. The modified PCNN is mainly embodied in that a factor combined with image depth information through adopting SML (Sum-Modified-Laplacian) capable of describing an image direction and texture information well is taken as input of a model, and most of PCNN-based algorithms take pixel gray values as model input items. The method can be well applied to the field of image fusion, and an experimental result shows that a fusion result which more conforms to an eye vision rule can be provided from both the objective evaluation index and the subjective vision effect.

The present invention relates to a monocular vision sensor of a welding robot used for the technical field of welding and cutting, and a rapid calibrating method of the relationship between the hands and the eyes of the robot. A minitype CCD camera, the dimming and filtering systems, and a motor driving system of the sensor are arranged on an installation bracket. In the dimming and filtering systems, the dimming lens and the filtering lens are overlapped and arranged on a lens bracket, wherein the connection is realized by means of a movable connecting bar and a driving arm. A driving motor of the motor driving system is connected with a decelerator. The driving arms of the dimming and filtering system are directly connected with an output shaft of the decelerator. In the present invention, the internal and external parameters of the camera are calibrated, at the same time, the world coordinate system is coincident with the coordinate system of the robot, thereby, the denotation of the external parameters of the camera under the world coordinate system is changed into the denotation under the coordinate system of the terminal control point of the welding robot, so as to complete the calibrating of the relationship between the hands and the eyes of the robot.

The invention belongs to the technical field of autonomous navigation of intelligent traffic vehicles, and particularly relates to a vehicle mileage calculation method based on double-eye vision. The vehicle mileage calculation method comprises the following steps of obtaining a video stream of a double-eye camera which is fixedly arranged at the top part of a vehicle, and transmitting to a vehicular processor; respectively extracting the features of a left image and a right image from the image of each frame of video stream of the double-eye camera, combining with the features of a left image and a right image of the previous frame, and searching a matched feature point set by a feature matching method; according to the matched feature points of the previous frame, using a three-dimensional vision method to calculate the space coordinates of a corresponding three-dimensional point; re-projecting the space coordinates of the three-dimensional point in the previous step to the coordinates of a two-dimensional image of the existing frame, and using a GN iteration algorithm to solve the minimum error of re-projection, so as to solve the motion transformation value of the vehicle of the adjacent frame; according to the motion transformation value of the vehicle, accumulating and updating the mileage information of the vehicle motion. The vehicle mileage calculation method has the advantages that by matching and combining the quick features and the high-precision features, the precision is improved, and the calculating speed is guaranteed.

A device for producing control data for a laser device for the surgical correction of defective vision. The device produces the control data such that the laser emits the laser radiation such that a volume in the cornea is isolated. The device calculates a radius of curvature R_CV* to determine the control data, the cornea reduced by the volume having the radius of curvature R_CV* and the radius of curvature being site-specific and satisfying the following equation: R_CV*(r,φ)=1/((1/R_CV(r,φ))+B_COR(r,φ)/(n_c−1))+F, wherein R_CV(r,φ) is the local radius of curvature of the cornea before the volume is removed, n_c is the refractive index of the material of the cornea, F is a coefficient, and B_COR(r,φ) is the local change in refractive force required for the desired correction of defective vision in a plane lying in the vertex of the cornea, and at least two radii r1 and r2 satisfy the equation B_COR(r=r1,φ)≠B_COR(r=r2,φ).

Within applications for Near-to-Eye (NR2I) displays, irrespective of whether they are for short-term, long-term, low vision, augmented reality, etc., there is a conflicting tradeoff between user comfort, ease of attachment, minimizing intrusiveness and aesthetics which must be concurrently balanced with and are often in conflict with providing an optical vision system within the NR2I display that provides the user with a wide field of view and high image resolution whilst also offering a large exit pupil for eye placement with sufficient eye clearance. Embodiments of the invention address these issues and provide a high performance optical system through the design of the optical eyepiece design to overcome these limitations within a bioptic configuration with laterally disposed displays.

The invention is applicable in the field of vision correction, and provides a device and a method for vision correction. The device comprises an image display mode set unit, a storage unit, an image display control unit, an image output unit and a three-dimensional display, wherein the image display mode set unit presets a plurality of image display modes for guiding an eye vision system of users to perform the movement in multiple directions and at far and near distances; the storage unit is used for storing the image display modes; when receiving image display instructions, the image display control unit acquires the image display modes corresponding to the image display instructions from the storage unit; the image output unit outputs images according to the image display modes acquired by the image display control unit under the control of the image display control unit; and the three-dimensional display displays the images outputted by the image output unit virtually under the control of the image display control unit. The device provided by the embodiment of the invention guides the eye vision system of the users to perform multi-direction, far and near alternating and centralized movement through the images displayed by the three-dimensional display, so that the vision of the users is corrected. The device has the advantages of convenient carrying, low cost and wide application range.

The invention discloses a non-reference stereo image quality assessment method based on a deep neutral network. Through the method disclosed by the invention, a left vision distortion image block anda right vision distortion image block are simultaneously input into a double-flow deep neutral network structure by considering an interaction principle of integration between the left vision and theright vision and parallax information in a multilayer structure of an eye vision system and using a non-reference 3D stereo image quality assessment algorithm based on the deep neutral network in end-to-end double-flow interaction, judgment feature extraction and regression learning are combined as an end-to-end optimization process, thereby achieving an aim of effectively predicting sensing quality of the distortion stereo image.

A lens-free ultrathin imaging sensor using a compound-eye vision modality can be formed by forming a metasurface on each pixel of an array of pixels in a solid state imaging sensor. The metasurface can be configured to form a diffraction grating that directs light incident on the metasurface at a predefined angle to excite surface plasmon polaritons into the solid state imaging sensor and light incident at any other angle is reflected or diffracted away from the metasurface. Each pixel of the imaging sensor can be configured using the metasurface to only receive light incident from a different portion of a field of view. A computational imaging system can be used to construct the image from the individual pixels.

The invention discloses an eye degree detection method and mobile terminal. The method comprises the steps that the mobile phone display screen working state is detected, a background starts a front camera when a display screen is activated; the front camera captures scene information in the mobile phone screen visible range and recognizes whether face information exists in the scene information; when the face information exists in the scene information, the background opens an infrared unit, sends infrared rays to user eyes and completes refraction on the eyes through a retina skiascope; the font size of the mobile phone screen is adjusted according to the eye vision and human faces. The method and the mobile phone have the advantages that the user eye degree can be detected through the retina skiascope, the font size of the mobile phone screen is adjusted according to user eye vision, the defects that some amblyopia patients who forget to carry eyeglasses or users who do not have to carry eyeglasses at any time want to see targets clearly but cannot see the targets clearly are overcome, and the mobile terminal can be used by amblyopia patients conveniently.

The invention relates to a method and a device for realizing sight line distance measurement and luminance automatic control on a laptop. The method is characterized by comprising the following steps: providing a detection signal processing unit connected with a central processing unit (CPU) of the laptop; providing a distance-measurement sensing module, wherein the module collects the distance information of a user and the laptop; when the distance is less than a guarding distance set by the user, controlling a loudspeaker of the laptop by the CPU, and reminding the user in a menu display mode; providing a photoelectric sensing module, wherein the module collects the luminance information of the environment; comparing the luminance information with a luminance value set by the user; automatically controlling a backlight driving circuit of the laptop by the CPU; and controlling the luminance of a display screen. According to the method and the device, a sound is given out to remind and warn the user when the user is too close to the computer to use the computer. Meanwhile, automatic detection can be carried out with the method according to the environment variation to enter an optimal mode luminance range so as to roundly protect the eyesight of the human body. The device has the advantages of simple structure and better practical value.

The invention discloses a stereoscopic image objective quality evaluation method on the basis of the structural distortion, which comprises the following steps: firstly, respectively carrying out regional division on left and right viewpoint images of an undistorted stereoscopic image and a distorted stereoscopic image to obtain an eye sensitive region and a corresponding nonsensitive region and then respectively obtaining evaluation indexes of the sensitive region and the nonsensitive region from two aspects of the structural amplitude distortion and the structural direction distortion; secondly, acquiring quality evaluation values of the left and right viewpoint images; thirdly, sampling singular value difference and a mean deviation ratio of residual images of which singular values are deprived to evaluate the distortion condition of the depth perception of a stereoscopic image so as to obtain an evaluation value of stereoscopic perceived quality; and finally, combining the quality of the left and right viewpoint images with the stereoscopic perceived quality to obtain a final quality evaluation result of the stereoscopic image. The method disclosed by the invention avoids simulating each composition part of an eye vision system, but sufficiently utilizes structure information of the stereoscopic image, so the consistency of the objective evaluation result and the subjective perception is effectively improved.

The invention relates to a robot hand-eye stereo vision measurement method. A target scene is shot from two different directions through an industrial camera installed on an industrial robot end effector. After camera calibration and image preprocessing, conjugate matching points of the two images are searched, and finally three-dimensional reconstruction is carried out according to the conjugate matching points so as to obtain the three-dimensional coordinate of a workpiece surface point. Compared with the currently common stationary industrial robot hand-eye vision measurement, the method provided by the invention can acquire the three-dimensional information of the workpiece rather than a simple two-dimensional coordinate of the workpiece, greatly expands the application of the vision system in industrial robot assembly, sorting and other systems, and has enormous application value and broad application field.

The embodiment of the invention discloses a method and device for detecting an eye sight line, equipment and a storage medium. The method includes the steps that under single-eye vision, sight line calibration coefficients of two eyes of a user are obtained separately and comprise the left eye sight line calibration coefficient and the right eye sight line calibration coefficient; under two-eye vision, according to the vision calibration coefficients, two-eye sight line data of the user is obtained. According to the method for detecting the eye sight line, an eyeball tracking module is used for detecting the eye sight line of the user, so that the accuracy of detecting the eye sight line is improved.