30results about How to "Fast 3D reconstruction" patented technology

The invention discloses a method and a system of three-dimensional reconstruction of a shape structure of trees in a leaved state. The method comprises acquiring three-dimensional point cloud data of trees and carrying out preprocessing and simplifying processing to obtain simplified three-dimensional cloud data set of the trees, carrying out organ segmentation to the simplified three-dimensional point cloud data set of the trees to obtain the three-dimensional point cloud data of each organ, wherein the three-dimensional point cloud data of each organ comprise the three-dimensional point cloud data of a leaf organ, the three-dimensional point cloud data set of a main trunk, the three-dimensional point cloud data set of a main branch and the three-dimensional point cloud data set of a sprout, extracting the frameworks of limbs of the trees according to the three-dimensional point cloud data set of the main trunk, the three-dimensional point cloud data set of the main branch and the three-dimensional point cloud data set of the sprout and optimizing the frameworks of the limbs of the trees, carrying out meshing to the frameworks of the limbs of the trees to generate a three-dimensional mesh model of the limbs of the trees, classifying each limb of the frameworks of the limbs of the trees, and carrying out canopy three-dimensional reconstruction. The fast three-dimensional reconstruction of the shape structure of the trees in the leaved state is achieved, and therefore a method and a high-precision basic model support are provided for the structural analysis of the canopies of the trees, the evaluation of the physiological and ecological characteristics and the like.

The invention discloses a light-field microscope three-dimensional reconstruction method and device based on a deep learning algorithm, wherein the method comprises: building a light-field microscope imaging system; obtaining the point diffusion of the imaging system by simulating the light-field microscope imaging system function; generate a simulated sample volume distribution data set; generate a simulated light field data set through the point spread function and the corresponding sample data, and correct the possible noise and background model; build a deep convolutional neural network to simulate the light field data As the input of the network, the simulated sample body distribution data is used as the output of the network, and the network is trained according to the microscopic sample design loss function; after the model training is completed, the light field microscopic data to be reconstructed is input into the model for testing. Obtain the predicted value of the corresponding sample body distribution data. The method can achieve fast, high-resolution, and less artifact three-dimensional reconstruction of light field data while maintaining the advantage of the light field for fast collection of three-dimensional information.

The present invention is applicable to the technical field of image processing, and provides a three-dimensional face reconstruction method and system, comprising: setting three-dimensional imaging units with the same configuration on the left and right sides of the human face to be tested; , establishing a polynomial relationship between the three-dimensional point cloud coordinates collected by the three-dimensional imaging unit and the corresponding phase according to the result of the binocular positioning, and determining the transformation relationship between the three-dimensional point cloud coordinates collected by the two three-dimensional imaging units; Collecting the image sequences on the left and right sides of the measured face by the three-dimensional imaging unit to obtain the absolute phase of the image sequence; using the polynomial relationship, mapping the absolute phase of the image sequence to three-dimensional point cloud coordinates; According to the transformation relationship, the three-dimensional point cloud coordinates of the three-dimensional imaging unit are unified into the global coordinate system. The invention realizes the fast three-dimensional reconstruction of the human face and improves the processing efficiency of the three-dimensional reconstruction of the human face.

The invention is applicable to the technical field of optical three-dimensional digital imaging, and provides a three-dimensional digital imaging method and device for a folded phase based on phase mapping. The three-dimensional digital imaging method comprises the steps of acquiring an image containing information of a measured object, and calculating a folded phase value of each pixel point on imaging planes of two imaging devices according to the image; calculating coordinates of n candidate space three-dimensional points corresponding to each pixel point via phase mapping by using the folded phase value of each pixel point on the imaging plane of the first imaging device and preset first calibration data; re-projecting the n candidate space three-dimensional points to the imaging plane of the second imaging device to obtain n candidate projection points, and interpolating folded phase values of the candidate projection points; and screening out correct space three-dimensional points from the candidate space three-dimensional points by taking the folded phase value of each pixel point on the imaging plane of the first imaging device and the folded phase values of the n candidate projection points corresponding to the pixel point as a basis so as to realize three-dimensional digital reconstruction. The three-dimensional reconstruction time is shortened according to the method provided by the invention.

This invention relates to computer graphics and mode identification technique field and in detail to use point recreation for super large scale of medical three-dimensional image visualization and comprises the following steps: first to divide the cared part from the medical two-dimensional slice; second to recreate based on point to extract the cared organic three-dimensional surface and to store it in form of point; third to draw with three-dimension to display the extracted surface mold with the drawing method based on points.

The invention belongs to the field of image processing and pattern recognition, and relates to an RGBPSP (red green blue phase shift profilometry) three-dimensional color reconstruction method applied to online detection for fabric defects. In the RGBPSP three-dimensional color reconstruction method, a color camera and a color light source projecting apparatus are adopted, the color light source projecting apparatus does not need to project a series of light information to a measured object but always projects fixed light information to the measured fabric, accurate phase information of each measurement point of a measured scene is obtained by the aid of a phase correcting method, and accordingly three-dimensional coordinate information of the measured scene is obtained. The RGBPSP three-dimensional color reconstruction method has the advantages that the proper three-dimensional reconstruction precision and the proper three-dimensional reconstruction speed can be effectively realized, requirements on online detection for the fabric are met, follow-up three-dimensional fabric defect identification is prepared, and the quality and the grade of Chinese fabrics are improved.

The invention provides a three-dimensional reconstruction algorithm of the inner wall of the pipeline based on the monocular image sequence. The algorithm is based on the monocular image sequence, determines the coordinates of the center of the pipeline through the monocular image, determines the straight line on this basis, and merges the straight line into a two-dimensional image. Obtain an image of the inner wall of the pipeline. Based on the image of the inner wall of the pipeline, using the principle of triangulation, the elevation of the inner wall of the pipeline is calculated through the difference between the two images of the inner wall of the pipeline, and the three-dimensional reconstruction of the inner wall of the pipeline is realized. The invention has the characteristics of strong adaptability, simple realization and fast rebuilding speed.

The invention discloses a method and system for locating a fire site based on an unmanned aerial vehicle. The method includes: obtaining data of physical markers or special buildings placed in multiple places around the fire site as markers to establish a self-defined coordinate system; Manually point out the two markers in the picture, and combine the clicked position and attitude angle to calculate the position of the drone in the self-defined coordinate system to locate the drone; according to the pictures taken by the two drones, manually point out The position of the same key point is combined with the click position, the attitude angle and the two shooting positions of the key point to calculate the position coordinates of the key point in the self-defined coordinate system to complete the positioning of the key point in the fire scene; wherein, The position of the drone is the shooting position. The invention accurately and quickly locates the fire scene, and marks key points and floors, provides intuitive scene conditions for fire site commanders, assists them in making disaster relief tactical decisions, and greatly improves efficiency.