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201 results about "Computational geometry" patented technology

Computational geometry is a branch of computer science devoted to the study of algorithms which can be stated in terms of geometry. Some purely geometrical problems arise out of the study of computational geometric algorithms, and such problems are also considered to be part of computational geometry. While modern computational geometry is a recent development, it is one of the oldest fields of computing with history stretching back to antiquity.

Fully-automatic face seamless synthesis-based video synthesis method

The invention provides a fully-automatic face seamless synthesis-based video synthesis method. With the fully-automatic face seamless synthesis-based video synthesis method adopted, insufficient real-time property in high-definition video processing of a face detection algorithm in the prior art can be solved. The fully-automatic face seamless synthesis-based video synthesis method of the invention comprises the following steps that: a video communication application provided by an intelligent television terminal is utilized to perform video connection; an image or video file which is locally arranged or arranged in a cloud server is adopted as a background (BG) to be synthesized; face detection is respectively performed on data foreground (FG) and background (BG) data which are acquired by a camera through using the face detection algorithm, and geometric transformation coefficients are calculated through face internal key point positioning and facial contour lines or a face minimum bonding rectangle frame; and accurate registration from the foreground (FG) to the background (BG), and face region data synthesis can be accomplished. With the fully-automatic face seamless synthesis-based video synthesis method of the invention adopted, the face image of a user can be conveniently synthesized into any existing images or videos in the process of video communication, and therefore, a sense of science and technology and interestingness can be added in the video communication, and fully-automatic seamless face synthesis of non-specific people can be realized.
Owner:易视星空科技无锡有限公司

Target recognition method of unmanned aerial vehicle based on minimum circle-cover matching

The invention relates to a target recognition method of an unmanned aerial vehicle based on minimum circle-cover matching. The target recognition method comprises the following five steps of: step 1, carrying out edge detection and communicated domain calibration to a target area and dividing the target area into a plurality of areas to be matched; step 2, creating a target model shape characteristic information base; step 3, carrying out minimum circle-cover detection to all the targets to be detected in the target area, and simultaneously recording the diameter orientation of the minimum circle-cover; step 4, matching the diameters of a target template and an outline to be matched so that the subsequent step can be implemented within a certain orientation; and step 5, matching the target template with the outline to be matched, carrying out the matching orderly to a plurality of communicated domain targets of the target area, and finally comparing and obtaining a sum-of-squared difference (SSD) measure of a minimum pixel gray difference, wherein the outline matching corresponding to the sum-of-squared difference (SSD) measure is the required result. The target recognition method utilizes the computational geometry technology, the optimization theory, the computer vision technology and other technologies, realizes the multi-target recognition of the unmanned aerial vehicle, greatly improves the speed and accuracy for recognizing the targets and has great practical value and application prospect.
Owner:BEIHANG UNIV

Method for calculating extinction coefficients of three-dimensional forest canopy by using laser-point cloud

The invention provides a method for calculating the extinction coefficients of a three-dimensional forest canopy under any given incident ray by using a geometric algorithm, belonging to the research field of a method of acquiring the structural parameters of the forest canopy. The method for calculating the extinction coefficients of the three-dimensional forest canopy by using the geometric algorithm comprises the following steps: acquiring and preprocessing the three-dimensional laser-point cloud data of a plant canopy; carrying out three-dimensional gridding on the point cloud data; carrying out point cloud slice arithmetic based on a voxel data structure; carrying out linear sampling analysis on the point cloud slices; calculating an average projection coefficient of a kth layer of slices; and calculating the extinction coefficient of any given incident ray in each layer of slices and the extinction coefficient of whole canopy. Compared with the traditional observing way, the invention has the characteristics of being small in working amount, and free from the contact observation and the damage of the canopy structure and radiation, and has objectiveness, high efficiency and precision; a method of extracting the three-dimensional structures and biological and physical diversity information from the laser radar data is developed to characterize the horizontal and vertical distribution change rules of the leaves.
Owner:NANJING UNIV

A bolt positioning and posture detection method based on monocular and binocular vision cooperation

The invention discloses a bolt positioning and posture detection method based on monocular and binocular vision cooperation. Firstly, a bolt image collected and processed by a binocular vision systemunder a fixed position is used to obtain an edge contour of the bolt image, and the geometrical centroid is calculated to obtain the position coordinates of the feature points in the bolt image. Wheninstalling the two industrial cameras in the binocular system, the left camera is mounted on the left robot arm which can control the movement trajectory, and the right camera is mounted on the properheight of the fixed support of the inspection robot. The left and right camera optical axes are set to be parallel and perpendicular to the baseline, and the right camera interface is closed by the control system after work, and the end of the left manipulator is controlled to move above the acquired coordinate point, at this time, the monocular vision system is operated. The invention combines the function of positioning by using depth information of the binocular system and the flexible 3d posture matching function of the monocular system, and realizes the identification and posture detection of the bolt to be detected in the obstacle environment.
Owner:BEIJING UNIV OF TECH

Industrial robot Cartesian space trajectory geometric smoothing method

ActiveCN105573315AGuaranteed continuous curvatureGuaranteed accuracyPosition/course control in two dimensionsThermal velocityComputer science
The invention provides an industrial robot Cartesian space trajectory geometric smoothing method. The method comprises the following steps: carrying out parameterization on geometrical curves corresponding to front and back two trajectories in a turning area; calculating parameter values of the geometrical curves of the front and back two trajectories in a turning area connecting point; judging whether the geometrical curves surpass preset limit conditions according to the parameter values of the geometrical curves of the front and back two trajectories in the turning area connecting point and turning radius, and if so, cutting off the geometrical curves; generating a turning area space curve by utilizing the Bezier curve generation principle; calculating terminal velocity and acceleration velocity of the geometrical curves; and generating a turning area trajectory by utilizing a one-dimensional velocity planning algorithm and velocity planning boundary conditions. The method enables the front and back two trajectories of an industrial robot in the turning area to realize geometric superposition smoothing to ensure curvature continuity of the geometrical curves corresponding to the trajectories; and velocity planning is carried out on the smoothed geometrical curves to achieve the purpose of speed control of the turning area.
Owner:苏州科诺机器人有限责任公司

Plane target drone characteristic point automatic matching method for demarcating video camera

The invention belongs to the technical field of machine vision, and provides an automatic matching method of planar target characteristic points for camera calibration. The method comprises the following steps: performing Delaunay triangularization and necessary preprocessing in a computational geometry theory on the obtained calibration characteristic point set to obtain a geometrical connection relation between adjacent characteristic points; then searching the point set for an initial point, a characteristic point of a first line and a characteristic point of a first row which are used for determining the search direction; and finally, completing the matching of the rest lines according to the geometrical connection relation between the adjacent characteristic points, and realizing the matching between image coordinates of the planar target characteristic points in checkered array distribution and the world coordinates. The matching method of the characteristic points has simple realization and strong robustness, is insensitive to lens distortion, and is suitable for the matching of the characteristic points matching under the condition that the shooting inclination angle is large and the target is partially blocked, and is particularly suitable for online automatic calibration of cameras.
Owner:BEIHANG UNIV
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