549 results about "Surface reconstruction" patented technology

The present invention provides a thin film amorphous silicon-crystalline silicon back heterojunction and back surface field device configuration for a heterojunction solar cell. The configuration is attained by the formation of heterojunctions on the back surface of crystalline silicon at low temperatures. Low temperature fabrication allows for the application of low resolution lithography and/or shadow masking processes to produce the structures. The heterojunctions and interface passivation can be formed through a variety of material compositions and deposition processes, including appropriate surface restructing techniques. The configuration achieves separation of optimization requirements for light absorption and carrier generation at the front surface on which the light is incident, and in the bulk, and charge carrier collection at the back of the device. The shadowing losses are eliminated by positioning the electrical contacts at the back thereby removing them from the path of the incident light. Back contacts need optimization only for maximum charge carrier collection without bothering about shading losses. A range of elements/alloys may be used to effect band-bending. All of the above features result in a very high efficiency solar cell. The open circuit voltage of the back heterojunction device is higher than that of an all-crystalline device. The solar cell configurations are equally amenable to crystalline silicon wafer absorber as well as thin silicon layers formed by using a variety of fabrication processes. The configurations can be used for radiovoltaic and electron-voltaic energy conversion devices.

Systems and methods for altering the shape of a reconfigurable surface area are presented. The present systems and methods facilitate efficient and effective interaction with a device or system. In one embodiment, a surface reconfiguration system includes a flexible surface; an elevation unit that creates alterations in the contours of the surface; and an elevation control component that controls adjustments to the elevation unit. Thus, the surface of the device is reconfigurable based on system, application, mode, and/or user needs. Accordingly, the surface can be used to provide input and output functionality. The surface can include touch detection functionality for added input functionality.

The present invention discloses a physical three-dimensional model automatic modeling method which comprises the following steps of (1) collecting a turntable point cloud and a modeling object point cloud, and carrying out real-time registration to obtain a mixed point cloud of an object and a turntable, (2) carrying out point cloud pretreatment to obtain the surface point cloud of a model object with a bottom surface point, (3) carrying out surface reconstruction to obtain the three-dimensional surface model of the object, (4) carrying out model simplification treatment on the three-dimensional surface model, and establishing the three-dimensional simplified surface model of the object, (5) carrying out texture mapping on the three-dimensional simplified surface model, and (6) carrying out model rendering on the three-dimensional model which is subjected to texture mapping to generate a two-dimensional image. The method has the advantages that the system operation is stable and reliable, the automation is realized in the operation process, a rebuilding effect is good, and the application needs of different simulation scenes can be satisfied by a built multi-granularity three-dimensional model.

The invention relates to a scattered point cloud Delaunay triangulation curved surface reconstruction method based on a mapping method and belongs to the field of a computer graphics and virtual reality technology. The method specifically includes the first step of obtaining original point cloud data of a target, the second step of obtaining K-level neighborhoods and unit normal vectors of all points in the original point cloud data, the third step of fragmenting the point cloud data, the fourth step of parameterizing fragmented point clouds to a two-dimensional plane, the fifth step of conducting Delaunay triangulation on the point clouds in the two-dimensional plane and mapping the point clouds back to corresponding three-dimensional space, and the sixth step of optimizing an initial triangle mesh model. Compared with the prior art, the scattered point cloud Delaunay triangulation curved surface reconstruction method based on the mapping method has the advantages that the quality of a triangle mesh can be ensured and triangle meshing on the scattered point clouds can be quickly realized when mesh modeling is carried out on large-scale point cloud data, and the method has a better effect on large-scale point clouds.

A method of image reconstruction comprising: obtaining a Helmholtz reciprocal pair of images of an object, the images comprising a first image and a corresponding reciprocal image; determining an imaging geometry associated with the obtaining; selecting a plurality of points in the first image and identifying corresponding candidate points in the corresponding reciprocal image; matching a selected point of the plurality of points and a candidate point of the corresponding candidate points. A method of image registration with an object comprising: obtaining a Helmholtz reciprocal pair of images of an object, the Helmholtz reciprocal pair of images comprising a first image and a corresponding reciprocal image; estimating a pose for the object; predicting an estimated image corresponding to the pose and one image of the reciprocal pair of images; comparing the estimated image with a corresponding actual image from the pair of images; and refining the estimating a pose based on the comparing.

The present invention discloses a three-dimensional reconstruction method and system capable of maintaining sharp features. The method includes the following steps that: 1) a two-dimensional image filtering method extended to a three-dimensional space is adopted to perform smoothing de-noising on inputted roughly-registered point cloud; 2) an improved region growth method is adopted to perform outlier removal on the smoothed roughly-registered point cloud; 3) a kd-tree (k-dimensional tree) acceleration-based ICP (iterative closest point) algorithm is adopted to perform precise registration on the outlier-removed roughly-registered point cloud; 4) a neighborhood search and boundary point detection-based fusion method is adopted to fuse the precisely-registered point cloud; and 5) a feature point detection and adaptive step size update-based method is adopted to perform surface reconstruction on the fused precisely-registered point cloud. The three-dimensional reconstruction system is composed of a point cloud preprocessing module, a point cloud combining module and a surface reconstruction module. The three-dimensional reconstruction system which is realized based on the method of the invention can maintain the sharp features of the edge of a reconstructed model, and therefore, reconstruction speed is considered with accuracy ensured.

A method of modeling a surface from a plurality of geometry points representing an object generally includes binning the plurality of geometry points into an n-dimensional array of cells and associating a binary value with each cell; applying a dilation algorithm to the binned plurality of geometry points to output a dilated binary representation of the plurality of geometry points; applying an erosion algorithm to the dilated binary representation of the plurality of geometry points to output a segmented volume; and applying a surface construction algorithm to the segmented volume to form a surface model of the object.

Enhanced removing of noise and outliers from one or more point sets generated by image-based 3D reconstruction techniques is provided. In accordance with the disclosure, input images and corresponding depth maps can be used to remove pixels that are geometrically and/or photometrically inconsistent with the colored surface implied by the input images. This allows standard surface reconstruction methods (such as Poisson surface reconstruction) to perform less smoothing and thus achieve higher quality surfaces with more features. In some implementations, the enhanced point-cloud noise removal in accordance with the disclosure can include computing per-view depth maps, and detecting and removing noisy points and outliers from each per-view point cloud by checking if points are consistent with the surface implied by the other input views.

A method for the problem of reconstructing a watertight surface defined by an implicit equation from a finite set of oriented points. As in other surface reconstruction approaches disctretizations of this continuous formulation reduce to the solution of sparse least-squares problems. Rather than forcing the implicit function to approximate the indicator function of the volume bounded by the surface, in the present formulation the implicit function is a smooth approximation of the signed distance function to the surface. Then solution thus introduced is a very simple hybrid FE/FD discretization, which together with an octree partitioning of space, and the Dual Marching Cubes algorithm produces accurate and adaptive meshes.

Methods, systems, computer-readable media, and apparatuses for radiance transfer sampling for augmented reality are presented. In some embodiments, a method includes receiving at least one video frame of an environment. The method further includes generating a surface reconstruction of the environment. The method additionally includes projecting a plurality of rays within the surface reconstruction of the environment. Upon projecting a plurality of rays within the surface reconstruction of the environment, the method includes generating illumination data of the environment from the at least one video frame. The method also includes determining a subset of rays from the plurality of rays in the environment based on areas within the environment needing refinement. The method further includes rendering the virtual object over the video frames based on the plurality of rays excluding the subset of rays.

The invention discloses a large-scale thin-wall skin self-adapting equal wall-thickness milling system and a processing method thereof. The large-scale thin-wall skin self-adapting equal wall-thickness milling system comprises a contact probe, a contact probe signal receiver, a five-axes numerical control machine tool, a PC machine, a path measuring planner, a path measuring emulator, a curved surface reconstruction device, a thickness distribution fitter, a thickness compensation cutter track planner, a cutter track emulator and a supersonic wave thickness meter. In the invention, the surface morphology and thickness of a large-scale thin wall member can be respectively obtained through the contact probe and the supersonic wave thickness meter, an actual contour curved surface can be reconstructed by using a curved surface reconstruction device, then an actual thickness of the curved surface is calculated by using the thickness distribution fitter, the actual thickness and a theory thickness are compared through the thickness compensation planner, and then the thickness compensation cutter track can be obtained, so that purposes of higher automation degree and better processing precision can be reached.

The invention discloses a simple and high-efficient three-dimensional human body reconstruction method based on a single Kinect. The three-dimensional human body reconstruction method comprises the following steps of 1) acquiring point cloud; 2) carrying out point cloud pretreatment; 3) carrying out local aligning; 4) carrying out global aligning; and 5) carrying out surface reconstruction. A user can easily realize three-dimensional human body modeling in a narrow space, such as a home room or an office room, and only a personal computer and a Kinect are needed. In order to make the human body modeling become rapid, accurate and convenient, the invention provides an effective whole body scanning data acquisition strategy. Through six angles, three frame scanning is performed for each angle so that the human body can be completely covered. Point cloud data processing captured by the Kinect includes two steps of the local aligning and the global aligning. The new three dimensional human body modeling method can be suitable for most of applications, such as digital measurement, a product design and on-line shopping.

A foot-type three-dimensional reconstruction and measurement method based on Kinect and binocular vision comprises the following steps of: the step S1, shooting a human body foot type from different angles, and obtaining a plurality of foot-type images and a plurality of foot-type depth images; the step S2, performing conversion from the depth images to three-dimensional coordinates; the step S3,performing feature matching of binocular images obtained from different directions, and obtaining three-dimensional coordinates of correct matching feature points through a binocular camera system; the step S4, solving an optimum rotation translation matrix by employing the correct matching feature points of the binocular images of different views through adoption of an ICP algorithm; the step S5,employing parameters obtained in the step S4 to perform point-to-point splicing of three-dimensional point cloud obtained by a Kinect sensor; and the step S6, performing surface reconstruction and rendering for the d three-dimensional point cloud splice in the step S5, obtaining a three-dimensional model of a foot, and performing measurement and extraction of feature parameters of the reconstructed foot model. The method provided by the invention is low in hardware cost, simple to operate, and accurate and rapid.

The invention discloses a bilateral filtering de-noising method of point cloud data based on KDTree when a ground laser scanning technology is used to carry out measured object surface reconstruction. In a bilateral filtering algorithm, a scattered point cloud data point field is established through the KDTree so as to obtain a field point set of the data point. An inverse iteration method is used to calculate the field point so as to obtain a normal vector ni. A filtering function parameter and a filtering Gauss parameter are calculated so as to obtain a bilateral filtering power factor lambda. Finally, a new data point after the filtering can be obtained, wherein the new data point p'i=pi+ lambdani. The bilateral filtering method of the invention is used to filter the noise of the point cloud data. The method is simple and effective. An operation speed is fast. A characteristic can be maintained and simultaneously the noise can be removed. The method is suitable for processing the noise in a small scope.

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 provides a commodity three-dimensional reconstruction system and a reconstruction method, wherein, the method comprises the following steps: S1, obtaining at least three point cloud images of commodities from different angles of view; S2, based on SAC-IA-ICP algorithm registers the point cloud of two adjacent point cloud images in order to eliminate the deviation between adjacent point cloud images. S3, adopting the improved Poisson surface reconstruction algorithm to reconstruct the complete three-dimensional surface model of the merchandise for all the point clouds after registration; S4, color rendering and illumination rendering are carried out on the commodity three-dimensional curved surface model by using an illumination renderer to obtain a three-dimensional commoditymodel that can be displayed. The three-dimensional commodity model constructed in the above method is more prominent in detail and more obvious in geometrical features. The effect is more real and the global shape and detail features of the commodity are truly restored.

The invention relates to a system for obtaining a defect part model of a damaged part. The system comprises a computer and a scanner electrically connected with the computer. A modeling method comprises the following steps of (1) performing pre-scanning preparation on a to-be-scanned damaged part; (2) calibrating the scanner; (3) performing parameter configuration by the system; (4) performing scanning through the scanner to obtain initial model data; (5) processing the initial model data to obtain point cloud model data; (6) processing the point cloud model data through a mesh reconstruction algorithm to obtain a curved surface reconstruction model; (7) performing registration alignment on the curved surface reconstruction model and a standard part model; and (8) obtaining the defect part model of the to-be-scanned damaged part: after the registration alignment of the models, performing subtraction Boolean operation on the curved surface reconstruction model and the standard part model to obtain the digital model of the defect part of the to-be-scanned damaged part. The modeling method is high in modeling efficiency and high in precision.

The invention discloses a target body surface reconstruction method in a three-dimensional image. The method includes the steps of firstly, obtaining outer shell data of a target body through a dot density analytical method and an improved grid division method, namely, a depth-first traversal method; secondly, conducting surface reconstruction of the target body through an energy function method based on image segmentation by taking the outer shell data, obtained in the first step, of the target body as point cloud in the computer graphics. According to the target body surface reconstruction method in the three-dimensional image, firstly, the obtained volume data, namely, the earthquake sampling point data, of the target body are processed through the improved image segmentation technology so that the volume data can be applied to the point cloud surface reconstruction method in the computer graphics, then, surface reconstruction is conducted on the target body through the improved energy function method based on image segmentation, the difficult problem of conducting surface reconstruction on the three-dimensional target body which takes sampling points as the volume data is solved, and the target body surface reconstruction method is suitable for surface reconstruction of the target body which is high in noise content or flat in appearance, inconsistent in sampling in all directions or undersampled.