1156 results about "Fish eye" patented technology

The system described in this invention can be used for monitoring and analyzing real time visual and non-visual information pertaining to the occupant, vehicle, and surroundings prior to, during and post eccentric operating conditions for a given period of time. The system stores vehicle and occupant data from sensors throughout the vehicle and also makes use of existing vehicle sensors that may already be present in the vehicle. The invention also includes a video recording module that makes use of a fish-eye camera to capture video from the inside and the outside of the vehicle. Real-time data analysis is performed to detect and to recognize vehicle occupants, and recognize impending eccentric events. Vehicle, occupant, and video data are stored in circular buffers. When an eccentric event, a collision for example, has been detected, the device continues to record data and video for a fixed period of time. Once this time has elapsed, the data is transferred from volatile to non-volatile memory for later retrieval. A computer may be used to retrieve and display the vehicle and occupant data in a synchronization with the video data for the purposes of accident recreation, driver or vehicle monitoring.

The invention discloses a method for synthesizing annular video of 360 degrees for assistant drive of a vehicle. The method adopts a video acquisition unit, an annular video synthesis unit and a display control and storage unit, and has the characteristics of reliable stability, low cost and suitable batch production. The method can acquire video signals in real time for four super-wide-angle fish-eye cameras arranged at front, back, left and right of the vehicle, carries out treatment of fish-eye image correction, annular image mosaic and vision angle conversion on four channels of the video signals through a video decoding unit and a video synthesizing control unit to generate a panoramic displayed plan view of 360 degrees, achieves multiple display modes through the display control and storage unit, and can selectively store correlated video information. The method can provide surrounding scenes for a driver, and eliminate vision blind area thereof, and is favorable for the driver to achieve safe and accurate vehicle driving operations. The method is used for assistant drive for sedans, business vehicles and heavy trucks of various grades, and passenger coaches of different types.

Disclosed is a photometer that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing and measuring real-time sky conditions for processing into control input signals to a building's automated fenestration (AF) system, daylight harvesting (DH) system and HVAC system. The photometer comprises a color camera and a fitted fish-eye lens to capture 360-degree, hemispherical, low dynamic range (LDR) color images of the sky. Both camera and lens are housed in a sealed enclosure protecting them from environmental elements and conditions. In some embodiments the camera and processes are controlled and implemented by a back-end computer.

A retargeted image substantially retains the context of an original image while emphasizing the information content of a determined region of interest within the original image. Image regions surrounding the region of interest are warped without regard to preserving their information content and/or aspect ratios, while the region of interest is modified to preserve its aspect ratio and image content. The surrounding image regions can be warped to fit the resulting warped image regions into the available display space surrounding the unwarped region of interest. The surrounding image regions can be warped using one or more fisheye warping functions, which can be Cartesian or polar fisheye warping functions, and more specifically linear or linear-polynomial Cartesian fisheye warping functions, which are applied along each direction or axis of the region of interest. The image region on each side of the region of interest can be modified using one or more steps.

A method for capturing a digital panoramic image, includes projecting a panorama onto an image sensor by means of a fish-eye objective lens having a constant field angle relative to its optical axis. The image sensor is rectangular in shape. The fish-eye objective lens is provided to project onto the image sensor, without reducing the field of view, a distorted panoramic image that covers a number of pixels on the image sensor higher than the number of pixels that would be covered by an image disk.

This invention relates to compositions and methods for treating subterranean formations, in particular, oilfield stimulation compositions and methods using water-in-water polymer emulsions to uniformly dissolve a rheologically active polymer, such as a thickener or friction reducer, in the treatment fluid. The emulsions have a low viscosity and are easily pumped for mixing into a treatment fluid, where upon dilution with an aqueous medium, the polymer is easily hydrated without forming fish-eyes. The partitioning agent in the water-in-water emulsion does not generally affect the rheology of the treatment fluid. The invention also relates to further processing of the emulsion by wet grinding, high shear mixing and/or heating to enhance the hydration rate in the preparation of the well treatment fluid.

The invention relates to a fish eye lens calibration and fish eye image distortion correction method which belongs to the field of digital image processing and is very suitable for occasions of vision navigation, mobile monitoring and so on. Since imaging using a large wide angle will cause serious distortion, generally, imaging correction is needed to facilitate human eye observation. The method provided by the invention is mainly technically characterized by establishing a space coordinate system 1 and employing a least square curve-fitting method to calibrate a fish eye image to determine the center andthe radius of a fish eye lens, establishing a cylindrical projection model in a space coordinate system UV, and setting one-to-one relationships among an image point q2 of the fish eye image, a point q1 on object sphere and a point q projected on a cylinder, wherein q1 is in vertical projection relation with a bottom plane on which q2 is located and line q1q parallels to line oq2, thus achieving the purpose of fish eye image correction.

The invention discloses novel nano calcium carbonate used for a plastic film and a preparation method thereof. A Ca(OH)2 suspension and CO2 are carbonized in a reactor to generate the nano calcium carbonate, and then the obtained nano calcium carbonate is subjected to liquid phase coating treatment or is directly subjected to mixed coating by using dried nano calcium carbonate and a surfactant to obtain nano calcium carbonate powder which is highly dispersed and surface-activated. The invention has the advantages that: the process is simple, the nano calcium carbonate is effectively dispersed in a polymer and a remarkable enhancement effect can be achieved on the premise of ensuring the transparency. The nano calcium carbonate prepared by adopting the invention can remarkably improve the mechanical property of a polyolefin material; after the nano calcium carbonate is used for polyethylene plastic, the tension strength of the material is greatly improved; and after the nano calcium carbonate is used for a polyolefin film, a fish eye is free, and the high transparency of the film is maintained.

The invention discloses a calibration method of a fish-eye lens imaging system applied to target detection, which comprises the step of mathematical modeling of the fish-eye lens imaging system based on an equidistant projection and the precise calibrations of the intrinsic parameters of the imaging system (including the central point O3(u,v) of an imaging surface), the distance L between the top section of the fish-eye lens and a theoretic refractive optical center plane, the radial distortion coefficient K of the fish-eye lens, an image element aspect scale factor i, the plane torsional angle gamma between a camera coordinate system and an imaging surface coordinate system, various parameter calibration methods and matched software. The method aims at the omnidirectional vision system based on the fish-eye lens, analyzes the optical structure and the imaging principle of the fish-eye lens and introduces deformation parameters so as to establish the physical model of the fish-eye lens imaging system and then deduce the mathematical model of the system. With an independently-developed calibration procedure, three-dimensional space information is obtained from a two-dimensional image and applied to the calibration of imaging system parameters. The method is applicable to the calibration of various fish-eye type panoramic lenses, is convenient and accurate and has strong practicability.

The invention relates to the technical field of image communication, and particularly relates to a method for acquiring a panorama image by using two fish-eye camera lenses. The method comprises the following operation steps: (1) camera configuration: two fish-eye lenses with view angles of greater than 180 degrees are oppositely arranged on a camera, so that two ends of the view angles of the two fish-eye lenses are overlapped; (2) image acquisition: the camera is arranged in a panorama, and acquires a part of the panorama through one fish-eye lens to form a first image, and acquires the other part of the panorama through the other fish-eye lens to form a second image, and two ends of the first image and the second image are overlapped; (3) image processing: a processor of the camera splices the first image and the second image to form a 360-degree panorama image. According to the method provided by the invention, two images can be quickly obtained by the two fish-eye lenses, and combined into a panorama image, the operation is simple and convenient, and the combination effect is good.

The invention relates to an embedded omnidirectional ball vision object detection and mobile monitoring system and an embedded omnidirectional ball vision object detection and mobile monitoring method. Omnidirectional ball vision is a visual system with a global domain visual field and can acquire all scenes of the whole global domain at one time without the revolving and scanning of a camera. The system comprises an omnidirectional ball vision imaging system (comprising two fish-eye panoramic lens, two CMOS image acquisition chips, an FPGA controller and an SRAM memory chip), and a multi-path DSP parallel image processor (comprising a master control DSP and two paths of DSP parallel image processors). The imaging system acquires omnidirectional ball vision images by matching the two fish-eye panoramic lens and the two CMOS chips, wherein the master control DSP is responsible for data scheduling and communication, and the two paths of the parallel DSPs are independent from each other and can process the identification tracking of a static navigation mark and the real-time monitoring of a dynamic object in parallel. The method and the system have the advantages of high integrity, small volume and quick processing speed and are particularly suitable in the military or domestic field such as safety monitoring, mobile vehicle body navigation and the like.

Visual-field information including information on sight-line direction (theta, phi) and on field angle (gamma) in visual-field area of input fish-eye image is input in real-time. From the input visual-field information, a drawing area of a plane is calculated in real-time that is orthogonal to the sight-line direction and has an extent determined by the field angle. A pixel position in the fish-eye image that corresponds to each pixel position in the calculated drawing area is determined. This forms in real-time a dewarped image from the fish-eye image with its distortion removed.

The invention discloses a reflective panoramic imaging system and method. The reflective panoramic imaging method comprises the following steps: directly mounting an optical system on an image sensor or an existing camera optical system, and respectively locating image planes of two groups of fisheye lenses on the image sensor through a reflection element in a non-overlapped manner; selecting a camera to enter a shooting mode; dividing images formed by light on the image sensor after passing by the first fisheye lens and the second fisheye lens; respectively processing the divided images, comprising image correction, color adjustment, noise elimination, exposure and contrast adjustment; extracting, screening and matching feature points of the images; carrying out image registration, splicing and fusion; selecting the shooting mode, and compressing and storing a panoramic image and a panoramic video; and selecting a preview mode, rendering the spliced panoramic image, and displaying the panoramic image on a device connected to the camera. The reflective panoramic imaging method disclosed by the invention can be used for shooting a complete panoramic image, guaranteeing the synchronism of video steam and obtaining the panoramic video more easily.

A monitoring apparatus for providing the driver with the image of blind-spot areas of a moving body. The monitoring apparatus includes: at least one of fish-eye camera mounted on a moving body, to image fish-eye image around the moving body; a dewarping unit configured to convert at least part of the fish-eye image obtained by the fish-eye camera into a two-dimensional image using a dewarping parameter; a conversion parameter calculation unit configured to calculate a conversion parameter for obtaining a bird's-eye view image from the two-dimensional image, showing an image from a hypothetical position looking down on the moving body; a bird's-eye view image creation unit configured to create a bird's-eye view image by sequentially fetching position data corresponding to each pixel of the bird's-eye view image using the conversion parameter and the dewarping conversion parameter; and a display device to display the bird's-eye view image created by the image creation unit.

The invention discloses a panoramic image fusion method based on a depth convolution neural network and depth information. The method comprises the steps of (S1) constructing a deep learning training data set, selecting overlap regions xe1 and xe2 of two fish eye images to be fused used for training and an ideal fusion area ye of a panoramic image formed after fusing the two fish eye images, and constructing a training set {xe1, xe2, ye} of the images to be fused and a panoramic image block pair, (S2) constructing a convolution neural network model, and (S3) obtaining a fusion area of a test data set based on a test data set and a trained depth convolution neural network model. According to the method, an image can be expressed more comprehensively and deeply, the image semantic representation in a plurality of abstract levels is realized, and the accuracy of image fusion is improved.

The invention introduces a fish-eye image correction method based on multistep correction, and aims at overcoming the disadvantages of image magnification and loss of edge information caused by a normal correction model in the prior art. A correction model is established based on multistep correction. A size zooming factor, based on a polynomial model, of a fish-eye image is established; the fish-eye image is corrected for the first time by utilizing the size zooming factor; interpolation is carried out on the image corrected for the first time in a neighborhood interpolation method; a division model based on a backward mapping method is established; and via the division model, the image after interpolation is corrected for the second time to obtain a secondary corrected image. The fish-eye image is corrected via the correction model, the problems including loss of edge information, image magnification, distortion and incomplete correction of the corrected images are solved, most information of a fish-eye lens is completely reserved, and the condition that the edge of the image is fuzzy is changed.

A method of using fisheye image to generate stereoscopic panorama includes shooting out a numbers of fisheye image by fisheye camera according to specified sequence, confirming character point air at overlapped region of adjacent images and setting-up stereoscopic space model as per obtained matching point pair, calculating out position of original image on stereoscopic space and resampling original fisheye image according to calculated out parameter in order to generate out stereoscopic panorama.

The invention discloses a method for obtaining the leaf area index and the average leaf inclination of rice canopy by using a hemisphere photographic process. The method comprises the following steps of: collecting a hemisphere image of rice canopy from bottom to top inside the rice canopy by using a digital hemisphere shooting system based on a fisheye lens; after performing gray conversion and binaryzation on the hemisphere image, obtaining the canopy porosity under the zenith angle at a viewing angle of 57 degrees, and calculating the rice canopies LAI and ALIA under the condition of the single zenith angle at the viewing angle of 57 degrees based on the Beer-Lambert law and a poisson model as well as the two characteristics of the blade projection function of the rice canopy; simulating the leaf inclination distribution of the rice canopy by an elliptic function and optimizing the rice canopies LAI and ALIA calculated by using the single-angle method so as to rapidly acquire the rice canopies LAI and ALIA. The rice canopies LAI and ALIA can be obtained in real time without picking up rice blade outdoors for destructive artificial measurement, and basic parameters for monitoring the rice growth in real time and remotely estimating the yield of rice are provided.

A method, apparatus and a surround view camera system. The method includes extracting block samples from at least one of a composite view geometric LUT, input fish-eye image and view overlapping region, selecting sample inliers from the extracted block samples, estimating optimal color gain for the selected block samples, performing refined adjustment based on the estimated color gain and applying color transform, and producing a composite surround view image.

The invention discloses a splicing method for panoramic images of fish-eye lenses. The method comprises: unit images shot by a plurality of fish-eye lenses are mapped to a three-dimensional spherical surface respectively to determine a polynomial fitting model; a matching feature point in an overlapped area of each image in a plurality of to-be-registered unit images is mapped to the three-dimensional spherical surface by the polynomial fitting model, the multiple unit images are calculated on the three-dimensional spherical surface to obtain registered model matrixes of all unit images, and according to the registered model matrixes, the multiple unit images are registered on the three-dimensional spherical surface to form a spherical panoramic image; the spherical panoramic image is unfolded to form a cylindrical panoramic image; the cylindrical panoramic image is processed, and a parameter mapping table of a correspondence position relation between each pixel point in the cylindrical panoramic image and each pixel point in the multiple unit images is established; and the parameter mapping table is invoked and fish-eye images shot by the multiple fish-eye lenses are fused to obtain a panoramic image. According to the invention, a splicing error in a spliced overlapped area of the fish-eye panoramic image can be eliminated.

The invention discloses a panorama shooting method based on a mobile platform, comprising steps of turning on a preposition camera and a postposition camera, reading images or video flows and real-time preview video flows of the preposition camera and the postposition camera, performing respective processing on two paths of images, wherein the processing comprises image correction, color regulation, noisy point elimination, exposure and contract ratio regulation, extracting, screening and matching the image characteristic points, rectifying, splicing and fusing the image, compressing and storing the panorama images and videos, and rendering the image and displaying the image on the mobile phone. The panorama shooting system comprises two fish eye lenses and one reinforcing mechanism; the two fish eye lenses are installed on the mobile phone or on the preposition camera and the postposition camera of a flat computer through the reinforcing mechanism. The invention discloses a panorama shooting system based on the moving platform and the method, which better solve the problems that the current panorama shooting method is high in the cost and complex in the shooting process, needs the independent shooting device and cannot record the panorama videos.

The invention provides a panoramic look-around parking auxiliary system used for a multi-marshalling variable-angle vehicle. The system comprises fisheye cameras, hinging disc angle sensing devices and a data acquisition processor. The system is characterized in that video images acquired by the two or three fisheye cameras installed on each vehicle compartment and arranged with the direction field angles of at least 180 degrees and angle information acquired by the hinging disc angle sensing devices are processed through the data acquisition processor, so that the panoramic look-around parking auxiliary system obtains a seamless-spliced panoramic look-around image of a perimeter region of the multi-marshalling variable-angle vehicle; and the hinging disc angle sensing devices between every two compartments are used for measuring angle information of the two compartments hinged by the hinging disc angle sensing devices in real time and meanwhile transmitting the measured angle to the data acquisition processor in real time to process. Through acquisition and analysis of hinging angles of vehicle hinging discs, when the compartments rotate relatively, in other words, the positions of the cameras are changed relatively, panoramic splicing parameters are modified in real time, and multi-marshalling real-time seamless panoramic slicing is achieved.

The intelligent panorama creating process based on two fish-eye images includes pre-treatment of fish-eye images, creating spatial model, optimizing the matching parameters and creating panorama. Owing to the theoretically perfect spatial model, model free dimension number for the matching parameter optimizing process reduced from 8 to 4 and the exhaustive search algorithm capable of avoiding trapping in local minimum, the present invention can find fast the optimal matching parameters, and has the advantages of fast matching speed, high matching precision and high image quality. Furthermore,the present invention has automatic pre-treatment of fish-eye images and automatic matching process, so that it may be usd in automatic matching treatment of great amount of fish-eye images.