749 results about "Object point" patented technology

A process for obtaining an object image of at least one object (40) is described, wherein at least two partial images of the object (40) are taken under differing object conditions which are formed on the object with spatial patterns, wherein a non-linear dependence of the light detectable from the object point on the object conditions given at the object point exists and the partial images contain different contributions of various space frequency components of the object structure, and the desired object image is determined from the partial images by reconstruction of the space frequency components. Optical systems for implementing this type of process are also described.

A method for capturing a digital panoramic image includes projecting a panorama onto an image sensor by means of a panoramic objective lens. The panoramic objective lens has a distribution function of the image points that is not linear relative to the field angle of the object points of the panorama, such that at least one zone of the image obtained is expanded while at least another zone of the image is compressed. When a panoramic image obtained is then displayed, correcting the non-linearity of the initial image is required and is performed by means of a reciprocal function of the non-linear distribution function of the objective lens or by means of the non-linear distribution function.

Recorded images having an overlapping scene transformed into a Quantitative Cylispheric Stereo Pair (QCSP) of images. Pixels corresponding to a common scene object point are located in the same or nearly the same horizontal lines in the QCSP of images. The QCSP's produced can take a number of different formats, including traditional stereo pairs, radial stereo pairs, and general case cylispheric stereo pairs. The QCSP's can be used for various three-dimensional imaging processes, including passive volumetric surveying and the production of three-dimensional visualization models.

In the three-dimensional display, a two-dimensional display section generates a two-dimensional display image based on an image signal, and a lens array converts the wavefront of the display image light from the two-dimensional display section into a wavefront having a curvature which allows the display image light to focus upon a focal point where an optical path length from an observation point to the focal point is equal to an optical path length from the observation point to a virtual object point, so a viewer can obtain information about an appropriate focal length in addition to information about binocular parallax and a convergence angle. Therefore, consistency between the information about binocular parallax and a convergence angle and the information about an appropriate focal length can be ensured, and a desired stereoscopic image can be perceived without physiological discomfort.

A driving behavior prediction apparatus includes, for accurately predicting a driving behavior, a position calculation unit for a subject vehicle position calculation, a route setting unit for setting a navigation route, a distance calculation unit for calculating a distance to a nearest object point, a parameter storage unit for storing a template weighting factor that reflects a driving operation tendency of a driver, a driving behavior prediction unit for predicting a driver's behavior based on vehicle information and the template weighting factor, a driving behavior recognition unit for recognizing driver's behavior at the object point, and a driving behavior learning unit for updating the template weighting factor so as to study the driving operation tendency of the driver in a case that a prediction result by the driving behavior prediction unit agrees with a recognition result by the driving behavior recognition unit.

An interferometer scans the sample surface laterally with respect to the optical axis of the interferometric objective. The objective is tilted, so that the sample surface is placed at an angle with respect to the maximum coherence plane of the instrument. By moving the sample stage laterally, at an angle, through a point at a set distance from the objective on the objective's optical axis, rather than vertically along the optical axis, different parts of the object intersect the maximum coherence plane at different times as the surface passes through the coherence plane, the precise time depending on the profile of the surface. When the OPD of a point on the object's surface is greater than the coherence length of the light source, the intensity of light reflected from this point does not produce interference fringes. Therefore, the intensity registered by the detector is approximately constant. However, when the object point enters the zone of coherence, the interference effects modulate the intensity the same way as in a regular VSI procedure. As the object moves along the scanning direction, it also has a relative vertical speed with respect to the objective because of the tilt of the objective's optical axis with respect to the scanning plane; therefore, the lateral scanning motion produces an OPD variation as the vertical scan in a conventional system. As a result, light intensity data are acquired continuously as the test surface is scanned, thus elimination the need for stitching multiple sub-sets of data.

The lumbar part of a robot as a controlled-object point where the mass is moved to the largest extent is set as the origin of a local coordinate, an acceleration sensor is disposed at the controlled-object point to directly measure the attitude and acceleration at that position to control the robot to take a stable posture on the basis of a ZMP. Further, at each foot which touches the walking surface, there are provided a floor reaction force sensor and acceleration sensor to directly measure a ZMP and force, and a ZMP equation is formulated directly at the foot nearest to a ZMP position. Thus there can be implemented a stricter and quick control of the robot for a stable posture.

A system and method are provided for autonomously navigating a vehicle. The method captures a sequence of image pairs using a stereo camera. A navigation application stores a vehicle pose (history of vehicle position). The application detects a plurality of matching feature points in a first matching image pair, and determines a plurality of corresponding object points in three-dimensional (3D) space from the first image pair. A plurality of feature points are tracked from the first image pair to a second image pair, and the plurality of corresponding object points in 3D space are determined from the second image pair. From this, a vehicle pose transformation is calculated using the object points from the first and second image pairs. The rotation angle and translation are determined from the vehicle pose transformation. If the rotation angle or translation exceed a minimum threshold, the stored vehicle pose is updated.

An extended depth of field is achieved by a computational imaging system that combines a multifocal imaging subsystem for producing a purposefully blurred intermediate image with a digital processing subsystem for producing a recovered image having an extended depth of field. The multifocal imaging system preferably exhibits spherical aberration as the dominant feature of the purposeful blur. A central obscuration of the multifocal imaging subsystem renders point-spread functions of object points more uniform over a range of object distances. An iterative digital deconvolution algorithm for converting the intermediate image into the recovered image contains a metric parameter that speeds convergence, avoids stagnations, and enhances image quality.

The invention discloses a regional depth edge detection and binocular stereo matching-based three-dimensional reconstruction method, which is implemented by the following steps: (1) shooting a calibration plate image with a mark point at two proper angles by using two black and white cameras; (2) keeping the shooting angles constant and shooting two images of a shooting target object at the same time by using the same camera; (3) performing the epipolar line rectification of the two images of the target objects according to the nominal data of the camera; (4) searching the neighbor regions of each pixel of the two rectified images for a closed region depth edge and building a supporting window; (5) in the built window, computing a normalized cross-correlation coefficient of supported pixels and acquiring the matching price of a central pixel; (6) acquiring a parallax by using a confidence transmission optimization method having an acceleration updating system; (7) estimating an accurate parallax by a subpixel; and (8) computing the three-dimensional coordinates of an actual object point according to the matching relationship between the nominal data of the camera and the pixel and consequently reconstructing the three-dimensional point cloud of the object and reducing the three-dimensional information of a target.

Images of an object viewed from a plurality of points of view is input through an image inputting unit. Change of orientation of the image inputting means, occurring when the images of the object are input, is detected. Change of position of point of view, occurring when the images of the object are input, is detected. Characteristic points are extracted from the image which is input previously, each of the characteristic points corresponding to a respective one of objects points on the object. Corresponding points are extracted from the image which is input currently, each of the corresponding points corresponding to a respective one of the characteristic points. The three-dimensional position of each of the object points is calculated, based on the change of orientation and the change of position of point of view of the image inputting unit and the data of the characteristic points and the corresponding points.

The invention relates to a color image three-dimensional reconstruction method based on three-dimensional matching, comprising the following steps of: (1) simultaneously and respectively taking an image from proper angles by using two color cameras; (2) respectively calibrating the internal parameter matrixes and the external parameter matrixes of the two cameras; (3) carrying out polar line correction and image transformation according to calibrated data; (4) working out matching cost for each pixel point in the two corrected images by applying a self-adaption weight window algorithm and acquiring an initial parallax image; (5) marking the reliability coefficient of the pixel initial matching result by adopting matching cost reliability detection and left and right consistency verification; (6) carrying out color segmentation on the images through a Mean-Shift algorithm; (7) carrying out global optimization by a selective confidence propagation algorithm on the basis of color segmentation and pixel reliability classification results to obtain a final parallax image; and (8) working out the three-dimensional coordinates of actual object points on the images according to the calibrated data and the matching relation, thereby reconstructing the three-dimensional point cloud of an object.

The invention is suitable to the independent motion vehicles environment sensation monocular visual navigation method, first surveys the camera distortion parameter, puts the camera on the independent motion vehicles, determines transformation relation from image plane coordinate system to world coordinate system; then records current car body posture, gathers the picture in the current car body visible scope, feedback the picture to the picture operation contact surface in order to definite the walk mode of the car body and do distortion correction on the gathering picture, select the path and the path spot on the path, according to the coordinates transformation relations under the world coordinate system put the current position and choice path result to the car body and demonstrate on the graph operation contact surface by the car body width; the car body walks according to the independently evades bonds or the way track way till the current visible scope last way spot, and then circling start from the gather picture to the final object point. The invention applies the monocular measuring technique in the unknown environment the visual navigation.

The invention discloses a method for quickly measuring a blade of a large-sized water turbine, which is characterized by comprising the following steps: firstly, sticking a mark point to the surface of the blade, then shooting a group of photos from different angles as measured primary data, and inputting the data to a computer to carry out analytic processing; by carrying out image detection for the group of photos in a measurement software, identifying the mark point in each photo and positioning the center of the mark point, and matching the mark points with the same name; finally, reconstructing a three-dimensional coordinate of corresponding object points according to a plurality of two-dimensional coordinates of the mark points, fitting a sparse framework model of a target by the reconstructed three-dimensional mark points, then scanning the surface of the blade block by block by using a binocular grating scanning method to acquire a local dense point cloud, and aligning the dense point cloud to an overall coordinate system according to the local mark points to acquire a dense point model of the blade; and by comparing the dense point model with a CAD designed model after aligning, calculating a three-dimensional processing error of the surface of a workpiece.

A system and method of generating a two-dimensional (2D) image of an environment is provided. The system includes a housing having a body and a handle. A 2D scanner is disposed in the body and has a light source, an image sensor and a controller, the light source steers a beam of light within a first plane to illuminate object points in the environment. The image sensor is arranged to receive light reflected from the object points and the controller determines a distance value to at least one of the object points. An inertial measurement unit is provided having a 3D accelerometer and a 3D gyroscope. One or more processors are responsive to executable instructions for generating a 2D image of the environment in response to an activation signal from an operator and based at least in part on the distance values and the signal.

A system supports the use of information pointers. The information pointers provide audio and/or visual information about objects to which the cursors point. For instance, an information cursor may provide output specifying the name of an object to which the cursor points. In addition to information about the object pointed to by the cursor, information windows provide information about the user's interaction with the object. For example, “Deleting Source File.” Information windows may contain information pertaining to a pair of objects, such as the source and target object in a drag and drop operation, or to a collection of objects.

The present invention discloses a physical three-dimensional model automatic modeling method which comprises the following steps of (1) collecting a turntable point cloud and a modeling object point cloud, and carrying out real-time registration to obtain a mixed point cloud of an object and a turntable, (2) carrying out point cloud pretreatment to obtain the surface point cloud of a model object with a bottom surface point, (3) carrying out surface reconstruction to obtain the three-dimensional surface model of the object, (4) carrying out model simplification treatment on the three-dimensional surface model, and establishing the three-dimensional simplified surface model of the object, (5) carrying out texture mapping on the three-dimensional simplified surface model, and (6) carrying out model rendering on the three-dimensional model which is subjected to texture mapping to generate a two-dimensional image. The method has the advantages that the system operation is stable and reliable, the automation is realized in the operation process, a rebuilding effect is good, and the application needs of different simulation scenes can be satisfied by a built multi-granularity three-dimensional model.

The invention relates to a method and device for obtaining volumes of target objects, terminal equipment and a computer readable storage medium. The method comprises the following steps of: receivingdepth image data, shot by a depth camera, of a target object on a planar platform; converting the depth image data into first point cloud data; segmenting a planar platform point cloud from the firstpoint cloud data so as to obtain a datum plane; clustering the residual point cloud data after the segmentation so as to select second point cloud data associated with a maximum clustering body from the residual point cloud data to serve as a target object point cloud; obtaining height data of a target object; obtaining a planar projection point cloud, on the datum plane, of the target object point cloud; obtaining length and width data of the target object through calculating a minimum area surrounding rectangle of the planar projection point cloud; and calculating a volume of the target object on the basis of the height data and the length and width data. When being used for measuring volumes of target objects, the method and device have the advantages of being rapid, correct, convenientto use and low in cost.

A method for determining three-dimensional coordinates of an object point on a surface of an object, the method including steps of: providing a source, a projector, and a camera; in each of two instances: spatially modulating source light; sending a modulator pattern of light through the projector lens to form light spots; filtering the spots with a pinhole plate; propagating light from the light spots onto the object to produce a fringe pattern; imaging the object point with a camera lens onto an array point of the photosensitive array to obtain first and second electrical data values from the photosensitive array; and determining the three-dimensional coordinates of the first object point based at least in part on the first electrical data value, the second electrical data value, and a baseline length.

The invention discloses a stereoscopic vision-based real low-texture image reconstruction method, which is implemented by the following steps: (1) shooting images by two cameras at two proper angles at the same time, respectively, wherein one image is used as a reference image and the other image is used as a registered image; (2) calibrating the inside and outside parameter matrixes of the two cameras respectively; (3) performing epipolar line correction, image transformation and Gauss filtration according to the calibrated data; (4) calculating a self-adaptive polygonal prop window of each point in the two calibrated images, and calculating the matching of pixel points to obtain a parallax space diagram; (5) completing dense matching by executing a tree dynamic programming algorithm pixel by pixel in the whole diagram; (6) extracting error matching points according to a left and right consistency principle, and performing parallax correction to obtain a final parallax diagram; and (7) calculating the three-dimensional coordinates of actual object points according to the calibrated data and a matching relationship to construct the three-dimensional point cloud of an object.

The invention relates to a novel imaging method in agile satellite maneuvering, which is capable of realizing imaging of satellite during a posture adjustment process. The method comprises the following steps: according to geographic latitude and longitude of on-board orbit forecast data and imaging object point, a triaxial attitude angle directional target imaging start point of satellite is arranged; a roll angle and a pitch angle are obtained through a modeling algorithm for determining the satellite optical axis directional target imaging point; establishing a CCD image plane in a satellite model, performing calculation to obtain image motion velocity vector and a drift angle through projection calculating, and yaw angle of the satellite is controlled for correcting the drift angle, calculating the image motion velocity vector to obtain TDICCD integration time for image motion compensation, and satisfying the image processing requirement of imaging in maneuvering. The design method is capable of using in a triaxial attitude maneuvering process of the satellite for starting optical payload for a dynamic imaging technology for imaging, so that target directional requirement and image processing requirement during an imaging process can be realized.