32results about How to "Improve 3D reconstruction accuracy" patented technology

The invention relates to an SFS (Shape From Shading) three-dimensional reconstruction sparse-DEM (Digital Elevation Model) encrypting method considering surface spectral information. The invention creatively provides a coarse-resolution DEM-grid interpolation-encrypting method by combining multi-spectral remote-sensing images with SFS three-dimensional reconstruction; ground-object spectral information is utilized to estimate the reflectivity of different ground-object types, and the influences of surface-vegetation coverage types on the precision of SFS reconstruction are removed; in the invention, multi-spectral images are utilized to replace full-color images, and the precision of three-dimensional reconstruction is improved by applying the assistance of the ground-object spectral information; the influences of the surface-vegetation coverage types and ground-object shadows on establishing a surface three-dimensional model and image spectral-brightness transforming relation can be effectively inhibited; and relative to a commonly-used DEM interpolation algorithm, the precision is markedly improved, and examples validate that the method can be used for improving the DEM spatial resolution to be two times of original data and finishing large-range rapid DEM establishment based on sparse control points.

The invention discloses a binocular visual sense reconstruction method considering three-dimensional distortion, belonging to the computer visual sense measurement technology field. The binocular visual sense reconstruction method considering the three-dimensional distortion introduces a three-dimensional distortion correction function to perform compensation optimization on a visual sense reconstruction result and realizes three-dimensional high accuracy remodeling. The binocular visual sense reconstruction method considering the three-dimensional distortion adopts a traditional binocular visual sense reconstruction method to obtain a three-dimensional reconstruction initial values of measurement points, solves a three-dimensional distortion compensation value on the basis of a relative relation between a standard object and a binocular camera and the reconstruction initial values, thus performs distortion compensation on coordinates of the camera of a tested point which are respectively extracted from a left image and a right image, combines with binocular visual sense theory to reconstruct, and realizes the binocular three-dimensional high accuracy reconstruction. The binocular visual sense reconstruction method considering three-dimensional distortion is high in reconstruction accuracy, can compensate the three-dimensional distortion of the binocular visual sense, realizes form and surface reconstruction of a part having a big curvature and a big size and improves three-dimensional reconstruction accuracy of the binocular visual sense.

The invention discloses a method for correcting kinematic errors in a microscopic vision system, which is applied to the microscopic vision system. The method comprises the following steps of: calibrating a camera through a calibration board, establishing a camera model, tracking angular points of the calibration board, generating a tracking trajectory and an ideal revolving trajectory of the angular points through a least square method, then performing error evaluation, establishing an error correcting model, and correcting the microscopic image by virtue of the error correct model. The method provided by the invention can be used for establishing the error correct model for the microscopic vision system only through one-time error evaluation; and the model can be used for any microscopic movement video collected by the system, reducing the movement errors of the system and improving the three-dimensional reconstruction precision, thus being high in practicability.

A 3D reconstruction method based on multi-field-depth image fusion belongs to the technical field of 3D reconstruction. The problem that the precision of 3D reconstruction is low and the true 3D morphology of a sample under test cannot be obtained is solved. The technical scheme includes the following steps: (1) acquiring a high-resolution original image sequence with different depth of field in the same position of a sample under test; (2) carrying out static wavelet transformation on the original image sequence to obtain corresponding high and low frequency coefficients; (3) designing corresponding fusion rules for the high and low frequency coefficients to obtain high and low frequency fusion coefficients, obtaining a fused image through inverse static wavelet transformation, and obtaining an initial 3D reconstruction result based on the high frequency fusion rule; (4) carrying out Gaussian low-pass filtering on the initial 3D reconstruction result to obtain a final 3D reconstruction result of the sample under test; and (5) mapping the fused image and the final 3D reconstruction result one by one to obtain a true 3D reconstruction result of the sample under test. The 3D reconstruction method of the invention has the advantages of high precision of 3D reconstruction, true reconstruction result, and the like.

The invention discloses a non-contact nondestructive omnibearing three-dimensional modeling method. The method comprises the following steps: calibrating a binocular camera by using a calibration board, and obtaining a stereo image pair; calculating an adaptive cross for each pixel in the image; estimating an adaptive matching window for each pixel according to the adaptive cross; obtaining matching cost by using the adaptive matching window, and respectively building a data item, a refined item, a smooth item and a division item by using the matching cost; then carrying out energy minimization on an energy equation to obtain final parallax distribution; and carrying out three-dimensional reconstruction according to the final parallax distribution. By adopting the non-contact nondestructive omnibearing three-dimensional modeling method, three-dimensional reconstruction is carried out by using a stereo vision method; the damage to an object caused by a contact three-dimensional modeling method is avoided; the three-dimensional reconstruction accuracy is effectively improved by adopting the adaptive matching cost method; the non-contact nondestructive omnibearing three-dimensional modeling method has good practicability.

The invention discloses a single-photon-array-based gating type diffuse reflection winding-angle imaging system and method. The system is composed of a laser emitter, a scanning galvanometer system, an intermediate reflecting surface, a distance gating module, a micro lens group, an SPAD array detector, a time-dependent photon counter and a digital processing unit. Laser emitted by the laser emitter is reflected by the surface of the intermediate reflecting surface, the surface of a hidden target, and the intermediate reflecting surface successively and then the reflected laser passes by the distance gating module; the laser is collected by the SPAD array detector; and the time-dependent photon counter is triggered. A time photon counting histogram is obtained according to the photon number and photon arrival time obtained by statistics by the time-dependent photon counter. And then the digital processing unit processes a plurality of time photon counting histograms according to a time sequential order to complete three-dimensional reconstruction of the hidden target object.

The invention relates to a three-dimensional reconstruction method and device for a mirror object, computer equipment, a storage medium and a computer program product, is applied to the technical field of three-dimensional reconstruction, and is used for improving the three-dimensional reconstruction effect of the mirror object. The method comprises the following steps: inputting a shot image of a mirror surface object into a rendering information network model, and decoding pixel points in the shot image through the rendering information network model to obtain reconstruction information and first rendering information for the pixel points; inputting the reconstruction information and a preset visual angle of the mirror surface object into an implicit scene model for rendering processing to obtain second rendering information and a preset visual angle image which are output by the implicit scene model and aim at the mirror surface object; and performing three-dimensional reconstruction on the mirror surface object according to the shot image, the preset view angle image, the first rendering information and the second rendering information to obtain a three-dimensional reconstruction model of the mirror surface object.

The embodiment of the invention relates to a calibration method and a system of a trinocular vision system for three-dimensional reconstruction, and the method comprises the steps: employing a Zhang calibration method to independently calibrate the internal parameters and distortion parameters of each camera in the trinocular vision system; collecting an image through each camera after independentcalibration, and calibrating each pair of cameras in the trinocular vision system in pairs based on the marked control points in the image; and based on the control points in the image, calibrating atrinocular camera by adopting a beam adjustment parameter optimization method for the cameras which finish pairwise calibration. According to the method provided by the invention, the calibration ofthe trinocular vision system can be realized, and the trinocular camera can obtain more abundant information, so that the precision of three-dimensional reconstruction is higher than that of a binocular camera.

The invention discloses a luminosity stereo three-dimensional reconstruction method and a spectrophotometric stereo camera. The luminosity stereo three-dimensional reconstruction method comprises the following steps: simultaneously projecting respective infrared light generated by three infrared light sources to a target object; collecting light reflected by the target object through a lens to obtain a source optical path; extracting optical signals related to the three infrared light sources from the source optical path separately to obtain three-path optical signals; converting the three-path optical signals to corresponding infrared image data respectively to obtain three groups of infrared image data; and utilizing the three groups of infrared image data to carry out three-dimensional reconstruction operation on the target object to obtain three-dimensional reconstruction data of the target object. According to the luminosity stereo three-dimensional reconstruction method and the spectrophotometric stereo camera, the accuracy of subsequent three-dimensional reconstruction can be improved; and in addition, the amount of the lens is only one, so that the difficulty brought by synchronous regulation of multiple lenses can be prevented, and actual application operation of a user is convenient.

A high-frequency region enhanced photometric three-dimensional reconstruction method based on deep learning comprises the steps of shooting a plurality of images of an object to be reconstructed by using a photometric three-dimensional system, and outputting accurate surface normal three-dimensional reconstruction by using a deep learning algorithm, designing a surface normal generation network to generate a surface normal of an object needing to be reconstructed from an image and illumination; enabling the attention weight generation network to generate an attention weight map of an object needing to be reconstructed from the image; processing the attention weight loss function pixel by pixel; and using the trained network to carry out surface normal reconstruction of the photometric stereo image. According to the method, the surface normal information and the high-frequency information are learned respectively through the proposed surface normal generation network and the attention weight generation network, training is carried out by utilizing the proposed attention weight loss, and the reconstruction precision of the surface of the high-frequency region such as the wrinkle edge can be improved. Compared with a previous traditional photometric stereo method, the method improves the three-dimensional reconstruction precision, especially the details of the surface of the object to be reconstructed.