8 results about "3d image reconstruction" patented technology

The invention discloses a power distribution area load state monitoring method and system based on stereo portrait analysis, relates to the technical field of urban power grids, and effectively improves the positioning precision and response speed of a load fluctuation area by introducing a three-dimensional image reconstruction and dynamic partitioning mechanism; a graph neural network and space-time long-short-term memory network modeling method is combined, so that the trend perception capability of the load state evolution process is enhanced; further, multi-source fusion recognition of abnormal behaviors is realized through association matching of the image change track and the load feature sequence, and the monitoring accuracy and sensitivity are effectively improved; based on risk index assessment and a map visualization expression mode, an abnormal area positioning result is visual and transparent, and intelligent early warning and decision assistance are supported; the method has the advantages of high data fusion capability, high risk identification precision, high visual interactivity and the like, and the intelligent and practical level of load state monitoring of the power distribution area is remarkably improved.

This invention discloses a method for identifying the connection location of underground dissimilar pipelines based on 3D image reconstruction, belonging to the field of location recognition technology. It addresses the problems of distorted spatial structure representation and insufficient accuracy in determining connection locations. By segmenting the underground pipeline, fusing ground-penetrating radar reflection data and electromagnetic detection results, abrupt gradient coefficients are calculated to mark potential material abrupt change segments. 3D scan data of the marked segments are retrieved, and combined with scan density and segment structure information, connection candidates are generated. Enhanced scanning is performed on the candidates, and the pit landing point is determined through spatial coarseness features. The existence of a connection interface is determined based on local point clouds, regional point clouds are extracted, and axis fitting is performed on the regional point clouds to obtain 3D misalignment data of the pipelines on both sides. The construction area is divided based on the soil obstacle density around the connection interface, and the connection center point is output based on misalignment constraints. This significantly improves construction accuracy and reduces the risk of blind excavation.

This invention relates to the field of intelligent inspection and 3D visual reconstruction technology for automotive parts, specifically a method for 3D image reconstruction of lightweight internal high-pressure molded parts for automobiles. The method includes: acquiring a sequence of structured light images, multispectral reflectance texture images, and a priori simulation model of the target object, and completing spatial coordinate registration; dynamically allocating edge extraction weights based on the local curvature gradient of the 2D image to generate a non-uniform density 3D point cloud; constructing a surface reconstruction energy function using surface reflectance variation data as a penalty term, fitting the point cloud to the 3D surface, and generating a target 3D mesh model; fusing 3D geometric features, 2D texture features, and the priori simulation model, and outputting the wall thickness reduction rate and residual stress distribution via a graph neural network; generating and overlaying a risk heat map, and outputting the evaluation decision results. This invention extends from geometric reconstruction to risk semantic reconstruction, improving the comprehensiveness and reliability of online inspection of internal high-pressure molded parts.

This invention relates to the field of 3D image reconstruction technology, and more specifically, to a 3D image reconstruction method and system based on coordinate attention mechanism and Unet. The key technical points include the following steps: S1, providing a 3D image reconstruction system based on coordinate attention mechanism and Unet; S2, obtaining a 3D geometric image of the target using a deep learning 3D image reconstruction method on the 3D image reconstruction system. This invention has the advantages of improving the efficiency of 3D image reconstruction and increasing the modeling accuracy of complex and irregular objects.

The application relates to a 3D-vision-based sole and vamp adhesive contour line marking device and method, and relates to the field of shoe processing.The device comprises a fixing support, a pressing module, a 3D-vision module, a line marking module and a control system.The pressing module comprises a rotating part arranged on the fixing support, a supporting part arranged above the rotating part and a pressing part arranged on the fixing support and above the supporting part.The 3D-vision module comprises a 3D-vision sensor arranged on the fixing support.The line marking module comprises a line marking part, a first moving assembly for driving the line marking part to move in the vertical direction and a second moving assembly for driving the line marking part to move in the direction of approaching or moving away from the supporting part.The control system is used for carrying out 3D image reconstruction according to the 3D-vision module and calculating the adhesive contour line when the pressing module works, and controlling the line marking module to work according to the adhesive contour line.The application has the effects of improving the line marking accuracy and quality and realizing intelligent production.

A 3D scanner system includes a scanner and a processor. The scanner includes a wand comprising a distal end configured for insertion into an oral cavity, wherein the wand comprises an opening in a sidewall of the distal end; and at least one of a window arranged in the opening of the wand or a sleeve mounted on an outside of the wand such that the sleeve covers the opening. The processor is configured to receive 2D images generated by the scanner, the 2D images comprising a) captured structured light reflected off of an intraoral object and b) captured additional light arising from reflections from at least one of the window or the sleeve; and perform 3D image reconstruction using the captured structured light in the 2D images while excluding the captured additional light in the 2D images based on processing of the 2D images using one or more algorithms.

This application provides a multi-camera-based 3D image reconstruction method, apparatus, device, and medium, relating to the field of image processing technology. In this application, firstly, multiple original 2D images are acquired, and original internal calibration parameters and original external parameters are determined, as well as an original sparse 3D model. Secondly, distortion correction is performed on the original 2D images and original internal calibration parameters to obtain distorted 2D images and distorted internal calibration parameters. Then, during the optimization process of the original sparse 3D model, the distortion correction internal calibration parameters of each camera are fixed, and the relative positional relationships represented by the original external parameters corresponding to each camera are constrained and fixed to form a target sparse 3D model. Finally, based on each distorted 2D image, the target sparse 3D model is densified to form a target dense 3D model. Based on the above, the problem of relatively low accuracy in 3D image reconstruction in existing technologies can be improved.

The invention provides a three-dimensional image establishment method and related equipment, and the method comprises the steps: converting a target image into an initial three-dimensional image, and determining the certainty degree of a first Gaussian primitive according to the attribute parameter of the first Gaussian primitive in the initial three-dimensional image; according to the determinacy of each first Gaussian primitive in the initial three-dimensional image, a space body is determined, and the space body is composed of at least one second Gaussian primitive; changing the initial shooting view angle of the space body to obtain a candidate shooting view angle, and generating a target view angle image of the space body under the candidate shooting view angle; according to the target visual angle image and an initial visual angle image of the space body under the initial shooting visual angle, a second Gaussian primitive in the initial three-dimensional image is reconstructed, a target three-dimensional image is obtained, and the determination degree of the reconstructed second Gaussian primitive is larger than or equal to a preset threshold value. According to the invention, the image quality of the three-dimensional image is improved.