9 results about "Angular point" patented technology

This information processing device (100) comprises: an acquisition unit (120) that acquires a panoramic image including an object that is a cube or a rectangular parallelepiped; a detection unit (130) that detects the object from the panoramic image; and a determination unit (140) that, when four corners of the object are detected, determines whether a circle passing through four points corresponding to the four corners can be calculated, and when the circle passing through the four points can be calculated, determines that the accuracy of the four corners is high.

This application provides a five-axis measurement and evaluation method for wheel-type tenon grooves, relating to the field of wheel-type tenon groove measurement technology. After the wheel is clamped, a wheel coordinate system is established. Based on the nominal position and orientation of the tenon groove, a nominal coordinate system for the tenon groove is established, and correction measurement points are collected on the working surface to be measured. The initial coordinate system of the tenon groove is obtained by correcting it according to the least squares criterion. A high-density point cloud is obtained by five-axis oscillation scanning and fitted to the actual working surface. The nominal corner points are projected onto the actual working surface to obtain the measured corner points. The coordinate system is corrected using the least squares method for corner point deviation. The oscillation-fitting-correction process is iterated until the change in coordinate system between two adjacent iterations is less than 10% of the tolerance bandwidth, thus obtaining the measured coordinate system of the tenon groove. Geometric tolerances such as center point position, axial / radial tilt, and angle are calculated in the wheel coordinate system to complete the machining quality evaluation. This method reduces the accumulated error of the reference structure and improves the accessibility and measurement repeatability of oblique tenons.

In implementations of techniques and systems for chamfer tools in volumetric sculpting software, a processing device receives an indication of a brushed region of a three-dimensional (3D) object to be chamfered and a chamfer size. A machine-learning model determines surface voxels in the brushed region representing an edge or corner voxel. The machine-learning model also determines parameters for the edge or corner voxel that define a chamfer plane and a chamfer coefficient. The chamfer plane is then moved in a direction normal to the chamfer plane by a distance based on the chamfer size and the chamfer coefficient. To generate a chamfer, the processing device performs an addition or subtraction operation on the 3D object to the moved chamfer plane for the edge or corner voxel.

The invention provides a dual-camera weak texture multi-target space matching and positioning method and an application system, and belongs to the technical field of computer vision and three-dimensional perception. According to the method, based on a dual-camera epipolar geometric model, on the basis of obtaining a dual-camera synchronous image and performing multi-target detection, four corner points and a central point of a target outer surrounding frame are introduced to construct a multi-key-point combined epipolar constraint, and target space structure information is fully utilized. The multi-key-point combined epipolar constraint is constructed by selecting the four corner points and the center point of the outer surrounding frame of the target, the overall space structure information of the target is introduced into the dual-camera matching process, a matching constraint mechanism of multi-geometric clue fusion is formed, and compared with an epipolar constraint mode only based on a single image point, the matching constraint mechanism is more accurate. The matching ambiguity caused by appearance similarity or deformation is effectively reduced, so that the matching accuracy in a multi-target scene and the anti-interference capability of the system are improved, and the method is particularly suitable for a weak texture environment.

Device (100) for determining a joint angle of a trailer (420; 510, 601) in relation to a vehicle, the device comprising: at least a memory, (103) comprising computer-executable instructions; and at least one processor (101) configured to read and execute the computer-executable instructions, wherein the computer-executable instructions cause the at least one processor (101) to: detect an area of ​​a trailer (420; 510; 601) based on a first image (306; 441; 501) of the trailer (420; 510; 601) captured at a first distance, and generate a first bounding frame (302, 431, 511) around the detected area of ​​the trailer (420; 510; 601) in the first image (306; 441; 501); detect the area of ​​the trailer (420; 510; 601) based on a second image (307; 442; 502) of the trailer (420; 510;601), which was recorded at a second distance, and generating a second bounding frame (303; 432, 512) around the detected area of ​​the trailer (420; 510; 601) in the second image (307; 442; 502); Determining a first set of feature points in the first bounding frame (302, 431, 511) and a second set of feature points in the second bounding frame (303; 432, 512) corresponding to the first set of feature points; Determining a correspondence between the first set of feature points and the second set of feature points and a correspondence between the corners of the first bounding frame (302, 431, 511) and the corners of the second bounding frame (303; 432, 512); Estimating at least one dimension of the trailer (420; 510; 601) by performing a least squares analysis to obtain three-dimensional coordinates (309; 407) of the real world of the first and second sets of feature points and the vertices of the first and second bounding frames (303;432, 512); wherein the computer-executable instructions cause the at least one processor (101) to determine an articulation angle of the trailer (420; 510; 601) with respect to a line through a center of the vehicle (410) based on the estimated at least one dimension and the three-dimensional coordinates (309; 407) of the real world.;

This invention discloses a method and system for detecting the end face shape of continuously cast slabs based on binocular vision. The method includes: constructing a binocular vision system to acquire images of the slab end face; identifying the acquired images, distinguishing between the casting head region and the slab end face region to be measured, and locating the four corner points of the slab end face; cropping the region of interest (ROI) of the end face and extracting the pixel-level contour of the slab end face from the ROI; calculating the coordinates of the four corner points in three-dimensional space according to the calibration parameters of the binocular vision system, fitting the spatial plane where the slab end face is located, and establishing a homography mapping relationship between the spatial plane and the image pixel plane; mapping the pixel-level contour extracted from the image to the spatial plane, segmenting the mapped end face contour, and performing smoothing processing, thereby calculating the shape parameters of the slab end face. This invention achieves fully automatic, high-precision, and robust online detection and quantitative analysis of the end face shape of continuously cast slabs.

This invention discloses an automatic calculation method for the gripping center based on three-point calibration. The method includes: collecting the planar coordinates of three non-collinear reference points on the material, where the first reference point is a preset corner point of the material facing the gripping robot, and the second and third reference points are arbitrary points on the sides along the width and length directions of the material, respectively; constructing a direction vector based on the collected coordinates and performing normalization processing; scaling using the input material length and width parameters to calculate and store the fixed horizontal coordinates of the gripping center; storing the material height parameter independently; and obtaining the three-dimensional coordinates of the gripping center by combining the fixed horizontal coordinates with the current height; when changing the material size, only the height parameter needs to be updated, while the horizontal coordinates remain unchanged. This invention significantly reduces the calibration workload during production changes, and features simple calibration operations, high computational efficiency, and low hardware costs.