63 results about "Spatial calibration" patented technology

A method and system for color calibration or color output device spectrophotoically measures at test target including a preselected test color value. A multi-dimensional LUT of the device is generated representative of the color information including the at least one preselected color. Producing a second image width device including the at least one preselected color located at a plurality of spatial locations in the second image. A second sensor measures the second image and a plurality of spatial locations having the preselected color for generating reflectance information for the preselected color at the plurality of spatial locations. An error is determined between the measured color of the one preselected color and the reflectance information at the other pixel locations. A multi-dimensional LUT is adjusted to minimize spatial uniformity errors at the other pixel locations, thus calibrating device color output spatially.

A calibration algorithm is provided for calibrating a machine vision system including a color camera, a framegrabber and an illumination source wherein subsequently acquired images are processed on a pixel-by-pixel basis. After framegrabber offsets are measured to obtain initial or offset calibration data, the camera is pointed at a target monotone patch of known reflectance such as pure white and the camera outputs for red, green and blue are determined while observing the monotone patch to obtain spatial calibration data. The gain for each of the output channels of the color camera is automatically determined from the initial calibration data. Applying the three gain factors to a subsequent image on the pixel-by-pixel basis allows one to end up with a color-corrected image without incurring any time performance penalty. At any time during an inspection process, a small area of white reflectance can be observed. The resulting dynamic white calibration data is used to correct for any medium to long term temporal variation in imaging conditions.

The invention discloses an in-orbit moving target detecting method with space-based radar and infrared data fusion. The method includes the steps that when an infrared detecting system is used for detection, background suppression is carried out on each frame in an infrared image sequence by adopting a filtering method based on the morphology, self-adaptive threshold segmentation is carried out on images obtained after background suppression, a single frame detection result is extracted, a multi-frame target is determined through a tracking algorithm, and whether the detection result is a real target or not is judged to obtain the detection result of the multi-frame target; during radar detection, pulse doppler (PD) is adopted for processing. After time calibration and space calibration are carried out on the obtained infrared and radar target information, data fusion is carried out on the information by adopting a measurement fusion method, and track prediction is carried out on fused data to obtain the estimated position of the target.

A method for calibrating a surround sound system is disclosed. The method utilizes a microphone array integrated in a front center loudspeaker of the surround sound system or a soundbar facing a listener. Positions of each loudspeaker relative to the microphone array can be estimated by playing a test signal at each loudspeaker and measuring the test signal received at the microphone array. The listener's position can also be estimated by receiving the listener's voice or other sound cues made by the listener using the microphone array. Once the positions of the loudspeakers and the listener's position are estimated, spatial calibrations can be performed for each loudspeaker in the surround sound system so that listening experience is optimized.

A preferably parametrically defined calibration target pattern definable in real-world coordinates (X_i,Y_i) is used to spatially calibrate a camera system acquiring images in pixel coordinates (x_i,y_i). The calibration target pattern is used to produce a unique 1:1 mapping enabling the camera system to accurately identify each point in the calibration target pattern point mapped to each pixel in the acquired image. Preferably the calibration target pattern is pre-distorted and includes at least two sinusoids that create a pattern of distorted wavefronts that when imaged by the camera system will appear substantially linearized. Since wavefront locations on the calibration target pattern were known, a mapping between those wavefronts and the substantially linearized wavefront pattern on the camera system captured image can be carried out. Demodulation of the captured image enables recovery of the continuous wave functions therein, using spectral analysis and iteration.

A method for automatic spatial calibration of a network of cameras along a road includes, processing a frame that is obtained from each camera of the network to automatically identify an image of a pattern of road markings that have a known spatial relationship to one another. The identified images are used to calculate a position of each camera relative to the pattern of road markings that is imaged by that camera. Geographical information is applied to calculate an absolute position of a field of view of each camera. A global optimization is applied to adjust the absolute position of the field of view of each camera of the camera network relative to an absolute position of the fields of view of other cameras of the camera network

Systems and methods are described to allow a user of a computing device to augment a captured image of a design space, such as a photograph or a video of an interior room, with an image of a design element, such as a photograph. The disclosure provides systems and methods that enable users of computing devices to capture images from the design space, calibrate the size of a virtual image of a design element to the captured image of the design space, overlay the calibrated virtual image onto the captured image, and adjust the virtual image.

The invention relates to an antenna assembly detection method. An antenna tower is a basic structure of the antenna. A set of sub-reflector assembly is respectively arranged on each side of the antenna tower. A feed assembly is respectively arranged below each sub-reflector assembly. The above-mentioned parts are assembled on an assembling platform. Detection systems employed by the detection method are a laser tracker system, a theodolite system and a laser radar system. A space calibration point is arranged, and a spatial calibration process is implemented, such that a coordinate transformation relationship among the three detection systems is determined. One detection system is used for measuring the assembling platform, and for determining the transformation relationship between the assembling platform and an assembling reference coordinate system. When the parts are installed, the parts are installed according to the installation requirements and measuring characteristics. Detection means with lower implementation intensity and higher sampling efficiency is adopted.

Point source responses of pinhole apertures in a non-uniform grid mask used to spatially calibrate a gamma camera can be modeled as a two-dimensional Gaussian function with a set of seven parameters. The Gaussian parameters can be measured using a surface-fitting algorithm that seeks minimum error in the least squares sense. The process is repeated for data from each pinhole location and the data are added together to generate a complete model of the flood image from the mask, which then can be used in a peak detection process for clinical images.

The invention relates to a high-speed camera calibration system and method. The high-speed camera calibration system comprises a calibration board, a laser ranging radar, a high-speed camera, an exposure time and dropped frame measurement device and an imaging distortion calibration device. According to the system and method, a high-precision picosecond laser ranging technology is adopted to be combined with a camera parameter calibration algorithm, the camera focus and the distortion coefficient are determined, a distortion matrix is optimized, a precise camera image-to-spatial position three-dimensional reduction algorithm is formed, and spatial calibration on camera imaging distortion is achieved; the adopted measurement reference clock frequency is 4-5 orders of magnitude higher than the measured high-speed camera frequency; acquisition and analysis equipment with the sampling rate of 25 GHz is adopted to acquire the exposure time of the high-speed camera, the high-precision exposure time and dropped frame rate are obtained through measurement, and a data basis is provided for test parameters acquired for calibrating the high-speed camera.

A 3D measurement model and the spatial calibration method based on a 1D displacement sensor are proposed. A 3D measurement system based on a fixed 1D displacement sensor is established; then a spatial measurement model based on the 1D displacement sensor is established; and then based on the high precision pose data of the measurement plane and sensor measurement data, spatial calibration constraint equation are established; a weighted iterative algorithms is employed to calculate the extrinsic parameters of the 1D sensor that meet the precision requirements, then the calibration process is completed. A high precision 3D measurement model is established; a 3D measurement model based on a 1D displacement sensor is established, and the calibration method of the measurement model is proposed, which will improve the precision of the 3D measurement model and solve the problem of inaccurate spatial measurement caused by the errors of the sensor extrinsic parameters.

The invention discloses an interactive plotting method based on laser-point cloud and a panorama image. The method includes the steps of forward interactive plotting or/and reverse interactive plotting, wherein in the forward interactive plotting step, pixel coordinates of the panorama image are positioned to laser-point coordinates; in the reverse interactive plotting step, the laser-point coordinates are positioned to the pixel coordinates of the panorama image. During forward interaction, a plotting object is determined in the panorama image, and the characteristics of being visual, clear and definite are achieved. During reverse interaction, a specific laser point is obtained through interaction by means of the buffering method, coordinate conversion parameters are converted into spatial rectangular coordinates, the pixel coordinates of the panorama image are calculated by means of spatial calibration parameters, panorama point GPS coordinates and spatial posture information, and accordingly a direction corresponding to the laser point is displayed in the panorama image.

The invention provides a planar and spatial feature-based laser radar and camera automatic joint calibration method. According to the method, a laser radar and a camera are separately adopted to position planar and spatial features designed on a calibration object, so that the laser radar and the camera can be fast and reliably calibrated. The laser radar and the camera are mounted on a device tobe calibrated, and then, the device to be calibrated is fixed at the output end of an six-axis mechanical arm; in an initial state, a calibration plate is arranged just in front of the laser radar andthe camera, and two kinds of geometric features, namely, planar calibration features and spatial calibration features are designed on the calibration plate; and the camera extracts calibration pointsfrom the planar calibration features so as to use the calibration points, and the laser radar extracts calibration points from the spatial calibration features so as to use the calibration points; and the output end of the six-axis mechanical arm is driven to drive the device to be calibrated to move according to a set trajectory; the camera obtains a corresponding calibration plate image; and the internal and external parameters of the camera are calibrated by the Zhang Zhengyou calibration method.

The invention discloses a scene three-dimensional data registration method. The method comprises the following steps: an inertial sensor and a visual sensor perform spatial calibration and time synchronization; the inertial sensor outputs pose information at two adjacent moments, and then transmits the pose information to the visual sensor, and the visual sensor performs data registration on two adjacent frames of data according to the pose information given by the inertial sensor; the pose variation of the visual sensor is worked out through the data registration of the visual sensor; the inertial sensor is subjected to real-time correction through the pose variation of the visual sensor; fifthly, data is registered to a three-dimensional map after data registration performed through the visual sensor. The scene three-dimensional data registration method and the navigation system error correction method perform registration on the inertial sensor through the visual sensor, solve vagueness during motion estimation performed by a single visual sensor or inertial sensor, improve the motion object detection performance, reduce the disadvantage that the error of the inertial sensor is accumulated with passage of time, and improve the precision of the inertial sensor.

The invention relates to a spatial information technology, in particular to a video positioning system and method. The method comprises the following steps: establishing a mapping relationship between target pixels and spatial coordinates of the target pixels through an interactive operation and data transmission between a mobile terminal and a monitoring camera; performing processing through spatial calibration software to automatically finish spatial coordinate calibration of a video monitoring range; and building a video map in order that target pixel points on a monitoring video matrix have corresponding spatial coordinate values, thereby realizing spatial positioning of any dynamic/static target pixel within the monitoring range. Meanwhile, space-time coordinate calibration is performed semi-automatically through WIFI (Wireless Fidelity) functions of a mobile terminal positioning device and a wireless router, so that conventional manual processing is replaced; the working efficiency is increased; and the cost is reduced.

The invention relates to a method for calibrating a conic refraction and reflection camera of a non-center axial symmetrical system. The method includes: a calibration block image is shot by employing the conic refraction and reflection camera, principal point locus curves are constrained through image points of the refraction and reflection image, and the coordinate of a principal point is determined by multiple loci; the polar line of the principal point is solved by employing a contour circle formed by a certain image point, wherein the intersection point of the polar line and a tangent passing the image point and the intersection point of the principal point and a connecting line of the image points are a group of vanishing points in the orthogonal direction; and two groups of vanishing points in the orthogonal direction are calculated by employing two image points so that the scale factor and the distortion factor of the conic mirror refraction and reflection camera are solved. By employing the method, the cross ratio is determined by directly employing the distances between the points on lines of the spatial calibration block, and point selection on the lines of the spatial calibration block is easy, convenient and accurate so that the accuracy of calibration results is improved.

The invention discloses a position information based ultrasonic wide view imaging method. The method includes the following steps that (1) when acquiring images, an ultrasonic probe moves along a straight line or an approximate straight line, a system acquires an ultrasonic two-dimensional image sequence in the scanning process, and position information of the images is obtained through a positioning device; (2) time is set for the system, each frame image acquired is corresponding to the position information thereof; (3) spatial calibration is performed to enable each frame image to be transformed into a coordinate system of the positioning device, position and direction information acquired by the positioning device in the moving process of the ultrasonic probe is recorded in a world coordinate system, and coordinates of each frame image in the world coordinate system are obtained by final transformation for the convenience of display; (4) each frame image is mapped onto a preset two-dimensional plane according to the spatial position information thereof in the world coordinate system to form a wide view image. By the method, calculated amount of wide view imaging can be reduced, and real-time performance can be improved.

The invention provides a space calibration method and system. The method comprises the following steps: collecting a reference image shot by a camera and spatial measurement data of a geographic area; carrying out plane partitioning processing on the geographic area according to the spatial measurement data to obtain a plurality of partitioning planes; according to the reference image and the spatial measurement data, a mark point matching pair set is obtained, and each mark point matching pair in the mark point matching pair set comprises geographic coordinates of a mark point in the geographic area and pixel coordinates of the mark point in the image; According to the mark point matching pair set, calculating a calibration relationship between an image shot by a camera and each partition plane, and obtaining a calibration matrix family between the image shot by the camera and the geographic area. The method can improve the space calibration precision and expand the application scene.

The invention discloses a spatial calibration method for the pose of a rotary three-dimensional measurement system of a two-dimensional laser range finder. The objective of the invention is to solve the problem that three-dimensional point cloud images acquired and spliced by a range finder are easy to generate errors and distortion under the condition that pose deviation exists between a holder rotation center (an original point of a world coordinate system) and a measurement reference point (a laser emission point) of the laser range finder. The invention provides a spatial calibration method for the pose of a rotary three-dimensional measurement system of a two-dimensional laser range finder, which can calibrate the deviation angle of the two-dimensional laser range finder and the offsets on three coordinate axes under the condition that a special calibration reference object is not needed. The method is simple in step, calibration cost and time can be effectively reduced, calibration precision of a measurement system is improved, and errors and distortion of the spliced three-dimensional point cloud images are inhibited.

A single focal plane integrated circuit hybrid replaces multiple focal plane circuits and associated off-focal plane signal processing electronics. A dual function, dual color focal plane PSD sensor chip assembly includes a PSD array, a traditional pixelized camera array, a signal processing chip, and flip-chip interconnects and wirebond pads to support electronics on the signal processing chip. The camera array is made of a material sensitive to wavelengths longer than the PSD array material is sensitive to. The PSD array is disposed in the same substrate as the camera array. The PSD array tracks object locations and directs the camera array to window and zoom while capturing images. Inherent registration of PSD cells to the pixelized camera array makes responsivity map testing and spatial calibration unnecessary. Reduction in power dissipation is achieved by powering on the camera array only when the PSD detects a change in scene.

The invention provides a city component positioning method and device and a vehicle-mounted mobile measurement device. The method comprises the steps of obtaining an image of the current street view,images of adjacent street views and corresponding GPS phase center coordinate data and space posture data; extracting at least one appointed city component; respectively obtaining a first pixel pointcoordinate and a second pixel point coordinate, of the same name, of the same city component; and calculating spatial geographic coordinates of the city components on the basis of a forward intersection method by combining a spatial calibration parameter and the corresponding GPS phase center coordinate data and space posture data according to the first pixel point coordinate and the second pixelpoint coordinate. The method is capable of carrying out automatic recognition and rapid positioning of the city components, so that the automatic updating of the appointed city components is realizedand the fussy artificial recognition and edition work is avoided, thereby greatly improving the updating efficiency, in related thematic maps, of the city components, and providing reliable guaranteefor the thematic application of the departments such as traffic, firefighting, public security and the like.