24 results about "Fish eye lens" patented technology

The invention discloses a data processing method of an intelligent cold stamping production line integrated with an MES system, and the method comprises the steps: S1, installing at least one fisheye lens for detecting a stamping workpiece, collecting data, preprocessing the data, and building a three-dimensional scene, S2, carrying out the further processing of the preprocessed data in S1 through a flexible sensor network, the method comprises the following steps: S1, carrying out cross-modal fusion and feature extraction on data, S3, transmitting the data extracted in S2 to a digital twinborn body for dynamic updating and prediction, S4, carrying out deformation with the assistance of quantum entanglement and carrying out over-distance early warning, and S5, carrying out data storage and knowledge management. According to the data processing method of the intelligent cold stamping production line integrated with the MES system, a digital twinborn dynamic updating and predicting technology is utilized, quantum-classical hybrid simulation modeling and reinforcement learning algorithms are combined, precise prediction and optimization adjustment can be conducted on mold abrasion, process parameters and the like, the production efficiency and the product quality are improved, and the production cost is reduced. The production cost and the energy consumption are reduced.

A detection device detects an imaged human from a captured image captured by a ceiling camera using a fish-eye lens, and includes a division part, an area estimation part, and a determination part. The division part divides the captured image into a plurality of areas. The area estimation part calculates a probability that each of the plurality of areas includes a position where a detection target estimated to be a human is present. The determination part determines whether the detection target is a human using the probability of each of the plurality of areas.

An image capture device includes a camera that captures video frames of a scene surrounding the camera. The image capture device further includes a lens attachment that directs light rays from the lens of the camera across a wider field of view than the lens of the camera. The image capture device further includes a housing that removably couples the lens attachment to the camera. The image capture device further includes a processor communicatively coupled to the camera. The processor receives a video frame captured by the camera through the lens attachment and generates a two-dimensional projection of the video frame by mapping pixels of the video frame from the three-dimensional coordinate space to a two-dimensional coordinate space.

The invention discloses a mangrove plant community net primary productivity monitoring method based on trunk flow, and relates to ecology and botany. General regulations of mangrove plant community net primary productivity monitoring based on trunk stem flow, mangrove plant stem flow monitoring content and method, plant leaf and crown atmospheric stability isotope monitoring, mangrove plant community net primary productivity calculation method and other basic contents and requirements are given. The method comprises the following steps: monitoring the stem flow density of a sample tree by adopting a plant stem liquid flow monitoring system, obtaining the composition condition of plant leaf juice and 13C in the canopy atmosphere by adopting an isotope analyzer, and obtaining the canopy leaf area index by adopting a fisheye lens and related software; and calculating the real-time net primary productivity of the mangrove plant community according to the monitored data. The method can be applied to monitoring of net primary productivity of various mangrove forests or land forests. The method is accurate in monitoring, high in popularization degree and good in real-time performance, and solves the problems of poor continuity, high operation difficulty and the like in current mangrove plant community net primary productivity measurement and calculation.

The embodiment of the present application provides a kind of depth map generation method, equipment and storage medium, belong to image processing technical field.The method comprises: according to the first spherical image of the first fish-eye lens collected and the second spherical image of the second fish-eye lens collected, the first parallax map of the space region where the terminal device is located is generated;And according to the depth information of the space region collected by the active depth sensor, the second parallax map of the space region is generated;Then according to the first parallax map and second parallax map, the target depth map of the space region is generated.The technical scheme of the present application can improve the field view angle of depth image.

A multi-camera three-dimensional capturing and reconstruction system comprising: a mechanical structure (10); at least five cameras (11-15) are placed on said structure (10); characterised in that said at least five cameras (11-15) are cameras each using a fisheye optic; said at least five cameras (11-15) are configured so that, compared to a forward direction of said system: a first front camera (11) is directed with the options pointed at 0°±10°; a second front-right camera (12) is directed with the optics pointed at +45°±10°; a third front-left camera (13) is directed with the optics pointed at −45°±10°; a fourth rear-right camera (14) is directed with the optics pointed at 60°±20°; a fifth rear-left camera (15) is directed with the optics pointed at −60°±20°; x defines the distance between said second front-right camera (12) and said third front-left camera (13), the distance y between said third front-left camera (13) and said fifth rear-left camera (15) is equal to or greater than the distance x, with y being greater than or equal to 10 cm.

The present invention provides a modular panoramic lens, comprising a middle frame assembly, two lens modules symmetrically arranged along the center of the middle frame assembly, and a connector assembly located inside the middle frame assembly; the middle frame assembly comprises a metal frame and a heat-insulating frame, and an installation space for accommodating two fisheye lenses and the connector assembly is formed inside the metal frame. The two lens modules in the modular panoramic lens provided by the present invention are symmetrically arranged along the center of the middle frame assembly, compactly installed and arranged, and fully utilize the internal space. The vertical circuit boards, which are the main heat dissipation components of the two lens modules, are distributed on both sides of the middle frame assembly, and a heat-dissipating copper area is provided on the vertical circuit boards to improve the heat dissipation effect of the fisheye lenses. At the same time, a heat-insulating frame is provided on the outer side of the metal frame to ensure heat dissipation while taking into account the heat insulation effect, thereby preventing the touch temperature from being too high and affecting the user experience. A multi-layer waterproof design scheme is designed in the entire panoramic lens to achieve a better waterproof effect.

The application discloses a panoramic examination room splicing method with adaptive light compensation and distortion correction, aiming at solving the problems of transition light change caused by uneven light, splicing fault and deformation caused by wide-angle and fish-eye lens distortion in the existing examination room monitoring splicing. The method first constructs an anchor point system in the examination room, selects and calibrates multiple reference anchor points, the reference anchor points include mandatory anchor points and auxiliary anchor points, the mandatory anchor points are permanent feature points in the examination room, the auxiliary anchor points are relatively fixed feature points in the examination room, and meanwhile, the physical coordinates, standard brightness values and structural features of the reference anchor points are calibrated and an anchor point correlation network is constructed. Then, images are synchronously collected, matching anchor points are detected, adaptive light compensation and distortion correction are carried out based on the reference anchor points, finally, the images are spliced according to the reference anchor point coordinates, and the anchor point failure effect and dynamic updating mechanism are also included. The application realizes seamless panoramic splicing of the examination room, and improves the monitoring continuity and AI analysis convenience.

A fully automatic calibration platform, calibration control system and calibration method for a lidar and a fish-eye lens, belonging to the field of three-dimensional scanning devices. To solve the problem of poor calibration effect caused by the existing calibration methods. The transverse support shaft of the present invention is installed on the bracket and can rotate. A through hole is provided on the transverse support shaft. The longitudinal support shaft is inserted into the through hole of the transverse support shaft and can rotate. The heavy-duty platform is fixedly installed at the top of the longitudinal support shaft via a driven bevel gear; two driving bevel gears are respectively sleeved at both ends of the transverse support shaft, and each driving bevel gear meshes with the driven bevel gear. When the two driving bevel gears rotate in the same direction and at the same speed, the force directions on both sides of the driven bevel gear are the same and the pitching motion of the heavy-duty platform is realized; when the two driving bevel gears rotate in the opposite direction and at the same speed, the force directions on both sides of the driven bevel gear are opposite and the yaw motion of the heavy-duty platform is realized; the pitch-yaw support mechanism is arranged on the translation mechanism and can realize the translation of the heavy-duty platform.

The utility model relates to a 3D fisheye lens and camera and video camera applying the same, the 3D fisheye lens comprises a first lens group G1 with positive diopter, an aperture stop and a second lens group G2 with positive diopter from an object side to an image plane side in sequence, the first lens group G1 is divided into two parts, the object side is a front part G1a with negative diopter, the image plane side is a rear part G1b with positive diopter, and the second lens group G2 is a rear part G1b with negative diopter. Wherein the G1a of the front part is composed of three continuous negative lenses, and the G1b of the rear part is a biconvex double-sided aspheric surface. The fisheye lens provided by the utility model has the advantages of miniaturization, high performance, large image field, a field angle of more than 200 degrees, enough gentle curvature radius of the first glass, enough small mutual shielding, enough small effective aperture, and capability of simulating the visual effect of eyes.

A method for localizing a motor vehicle includes (a) receiving image data acquired with an upward-facing camera disposed on the motor vehicle and with a fish eye lens and an upward-facing axis of view, and (b) performing localization to determine a position of the motor vehicle using the image data received in step (a).

Method for locating a motor vehicle (1) comprising the following steps a) receiving image data (2) acquired by a camera (3) arranged on the motor vehicle (1) and directed upwards, having a fisheye lens (4) and an upwardly directed viewing axis (15); and b) performing a localization to determine a position (5) of the motor vehicle (1) using the image data (2) received in step a).

The invention discloses an unmanned aerial vehicle accurate landing identification module which comprises a support, a laser ranging module and a visual processor board card are fixedly installed on one side of the support, and a camera is fixedly installed on one side of the visual processor board card; a fisheye lens is fixedly mounted on the camera; an infrared band-pass optical filter is fixedly mounted on one side, close to the fisheye lens, of the camera; the side, away from the laser ranging module, of the support is evenly and fixedly connected with connecting blocks. A threaded groove is formed in the connecting block; the laser ranging module is used for measuring the actual distance between the unmanned aerial vehicle and the beacon light panel; according to the accurate landing identification module for the unmanned aerial vehicle, the laser ranging module, the visual processor board card and the camera are arranged on the support, so that accurate landing of the unmanned aerial vehicle can work at night and is not affected by illumination intensity, and therefore the working efficiency of the unmanned aerial vehicle during task execution at night is improved, and the working efficiency of the unmanned aerial vehicle is improved. And the applicability and the flexibility of the unmanned aerial vehicle precise landing identification module are improved.

An image capture device includes a camera that captures video frames of a scene surrounding the camera. The image capture device further includes a lens attachment that directs light rays from the lens of the camera across a wider field of view than the lens of the camera. The image capture device further includes a housing that removably couples the lens attachment to the camera. The image capture device further includes a processor communicatively coupled to the camera. The processor receives a video frame captured by the camera through the lens attachment and generates a two-dimensional projection of the video frame by mapping pixels of the video frame from the three-dimensional coordinate space to a two-dimensional coordinate space.

The invention provides a modular panoramic lens. The modular panoramic lens comprises a middle frame assembly, two lens modules symmetrically arranged along the center of the middle frame assembly and a connector assembly located in the middle frame assembly. The middle frame assembly comprises a metal frame and a heat insulation frame. An installation space for accommodating the two fisheye lenses and the connector assembly is formed in the metal frame. According to the modularized panoramic lens, the two lens modules are symmetrically arranged along the center of the middle frame assembly and are compactly installed and arranged, the internal space is fully utilized, the vertical circuit boards serving as main heat dissipation components of the two lens modules are distributed on the two sides of the middle frame assembly, the heat dissipation copper exposing areas are arranged on the vertical circuit boards, and the heat dissipation copper exposing areas are arranged on the two sides of the middle frame assembly. Meanwhile, the heat insulation frame is arranged on the outer side of the metal frame in a sleeving mode, the heat insulation effect is achieved while heat dissipation is guaranteed, and the phenomenon that the user experience is affected due to the fact that the touch temperature is too high is avoided; a multi-layer waterproof design scheme is designed in the whole panoramic lens, and a better waterproof effect is achieved.

The invention discloses a panoramic examination room splicing method based on self-adaptive light compensation and distortion correction, and aims to solve the problems that in existing examination room monitoring splicing, light is not uniform, so that transition light and shade changes are caused, and splicing faults and deformation are caused by wide-angle and fisheye lens distortions.The method comprises the steps that firstly, an anchor point system is constructed in an examination room, and a plurality of reference anchor points are selected and calibrated; the reference anchor points comprise necessary anchor points and auxiliary anchor points, the necessary anchor points are permanently fixed feature points in the examination room, the auxiliary anchor points are relatively fixed feature points in the examination room, meanwhile, the physical coordinates, standard brightness values and structural features of the reference anchor points are calibrated, and an anchor point association network is constructed; the method comprises the steps of firstly collecting images, then synchronously collecting the images, detecting matched anchor points, carrying out self-adaptive light compensation and distortion correction based on the reference anchor points, and finally splicing the images according to the coordinates of the reference anchor points, and further comprises an anchor point failure response and dynamic updating mechanism, and the method achieves the seamless panoramic splicing of the examination room, and improves the monitoring coherence and AI analysis convenience.

The application discloses an ultra-high-definition large-target-fish-eye lens, which comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, an eighth lens, a ninth lens and a tenth lens arranged in sequence along the direction of the optical axis from the object side to the image side. The lens adopts a ten-piece design, and a fish-eye lens with a focal length of 2.9mm is realized. The total optical length is controlled within 30.3mm, the maximum outer diameter of the lens is less than 24.5mm, the maximum field of view of the lens can reach 198°, the relative luminance of the full field of view is greater than 67%, and the field of view utilization rate is high. The off-axis chromatic aberration value of the lens is less than 3um, the color difference restoration degree of the image is high, and the purple edge can be effectively inhibited.

The application discloses a fish-eye lens calibration method and system combining two-dimensional and three-dimensional information and belongs to the technical field of computer vision and photogrammetry. The method comprises the following steps: collecting two-dimensional checkerboard multi-angle video data and estimating initial camera internal parameters; collecting three-dimensional calibration field images, identifying AprilTag labels and obtaining control point 3D-2D information; performing de-distortion processing on the control points by using the initial internal parameters; estimating initial external parameters by using SVD and RQ decomposition methods; constructing a bundle adjustment optimization model; and performing global optimization on the two-dimensional checkerboard and three-dimensional calibration field observation information by using an MEI camera model to obtain final calibration parameters. The application overcomes the defects of the two-dimensional method, such as lack of absolute spatial constraints, and the three-dimensional method, such as complex operation, and realizes high-precision, high-efficiency and fully-automatic fish-eye camera calibration.

An image capture device accesses two-dimensional input image comprising pixels distorted in a radial direction. The image capture device defines a projection of a region within the image corresponding to a set of control signals mimicking adjustments to a field of view of the camera, The projection is a two-dimensional coordinate plane of the region without distortions in the radial direction. The image capture device normalizes each point on the projection onto a three-dimensional coordinate sphere representing a full range of motion of the camera. The image capture device maps each normalized point on the coordinate sphere to a two-dimensional point on the input image. For each mapped point on the input image, the image capture device extracts a pixel value from a pixel at the mapped point to project the pixel value at a corresponding position on the projection of the region.

The application provides a kind of forest belt layering leaf area density measuring device and method based on unmanned aerial vehicle, belongs to the technical field of forestry and ecology, device includes: unmanned aerial vehicle, camera holder, motion camera and fish eye lens;The upper surface of unmanned aerial vehicle is fixedly connected with camera holder, motion camera is fixedly connected on camera holder, fish eye lens is fixedly installed on motion camera, adjust camera holder so that fish eye lens is vertically upward, wireless control device is connected with the control system of unmanned aerial vehicle and the control system of motion camera;The application can flexibly, efficiently, non-destructive measure forest belt layering leaf area density, provide important parameters for farmland shelter forest aerodynamics research, and provide basis for scientific construction and management of farmland shelter forest.

The application discloses an equidistance cylindrical fish-eye image unfolding method based on linear transformation, and the method comprises the following steps: obtaining the internal parameter and distortion parameter of a fish-eye camera through camera calibration; obtaining an equidistance cylindrical fish-eye image unfolding image by using the projection principle of equidistance cylindrical surface; realizing linear transformation of the equidistance cylindrical fish-eye image unfolding image by changing the corresponding parameters of the field of view; and finally obtaining the equidistance cylindrical fish-eye image unfolding image, so that the method is suitable for a fish-eye lens with a larger field of view, can effectively remove distortion, and significantly improves the visual effect and practicability of the unfolded image.

The application relates to the field of machine vision, and proposes a fish-eye lens external parameter calibration method for calibrating the external parameters of multiple fish-eye lenses installed on a vehicle body, wherein the multiple fish-eye lenses are arranged at the front, rear, left and right parts of the vehicle body, and the method comprises the following steps: determining the conversion relationship among multiple fish-eye lens coordinate systems according to images of multiple checkerboard calibration boards captured by the multiple fish-eye lenses; the multiple checkerboard calibration boards are placed horizontally on the ground in the left front, left rear, right front and right rear directions of the vehicle body; determining the external parameters of each fish-eye lens in the multiple fish-eye lenses according to the conversion relationship among the multiple fish-eye lens coordinate systems and the images of first and second wheel targets in the multiple fish-eye lenses; the first and second wheel targets are placed horizontally on the left and right sides of the rear wheels of the vehicle body respectively.

The application discloses a compressive correlation imaging method and system with large field of view imaging capability, and belongs to the technical field of space active imaging. The method uses a fisheye lens 13 and a CCD camera 14 to perform fast large field of view imaging on an imaging area, and obtains a large field of view imaging result Fig; N existing regions {A1, A2,..., A i ,…,A N} of the measured objects are determined according to the imaging result Fig; compressive correlation imaging is performed in the regions {A1, A2,..., A i ,…,A N}, and N imaging results {fig1, fig2,..., fig i ,…,fig N} are obtained. The application has the beneficial effects that: (1) the whole to-be-measured region is coarsely imaged by using large field of view imaging, compressive correlation imaging is performed only on the regions where the objects exist, the imaging time can be shortened, the imaging efficiency is improved, and the imaging region is not repeatedly scanned or missed; (2) the signal-to-noise ratio of echo signals is improved, and the detection distance is improved; and (3) the staring imaging time can be shortened by using a compressive correlation imaging reconstruction algorithm, and the imaging efficiency is improved.

The application discloses a kind of semi-automatic fish eye lens calibration method and system. Including: obtaining multiple calibration images by fish eye camera, calibration image includes N group orthogonal parallel straight line pair;Curve extraction is carried out to calibration image by pre-trained neural network;Based on the calibration image after curve extraction, select 2 orthogonal parallel straight line pairs;The orthogonal vanishing point of orthogonal parallel straight line is calculated, and the main line equation is obtained;Based on main line equation, calculate main point position;Select sampling point, obtain corrected image point according to calibration model and main point position, establish error function by image point and to-be-optimized focal length and distortion coefficient, optimize to-be-optimized curve by minimizing global error function, obtain optimized focal length and distortion coefficient.The application forms a kind of semi-automatic fish eye lens calibration system without calibration board by adjusting the internal parameter of fish eye camera, so that fish eye camera has fast and accurate calibration capability.