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217 results about "Polygon mesh" patented technology

A polygon mesh is a collection of vertices, edges and faces that defines the shape of a polyhedral object in 3D computer graphics and solid modeling. The faces usually consist of triangles (triangle mesh), quadrilaterals (quads), or other simple convex polygons (n-gons), since this simplifies rendering, but may also be more generally composed of concave polygons, or even polygons with holes.

System and method of three-dimensional image capture and modeling

System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically-by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons. The system creates an initial, (rough) model of the 3D object from one of the silhouette contour polygons, then executes an overlaying procedure to process each of the remaining silhouette contour polygons. In the overlaying process, the system processes the silhouette contour polygons collected from each silhouette image, projecting each face of the (rough) 3D model onto the image plane of the silhouette contour polygons. The overlaying of each face of the (rough) 3D model onto the 2D plane of the silhouette contour polygons enables the present invention to determine those areas that are extraneous and should be removed from the (rough) 3D model. As the system processes the silhouette contour polygons in each image it removes the extraneous spaces from the initial object model and creates new faces to patch “holes.” The polygonal mesh model, once completed, can be transformed into a triangulated mesh model. In a subsequent step, the system uses a deterministic procedure to map texture from the texture images onto the triangles of the 3D mesh model, locating that area in the various texture map images that is “best” for each mesh triangle.
Owner:SIZMEK TECH

Method for planning smooth and non-interference tool route of 5-axis numerical control machining

The utility model relates to a five-axle digital controlled tool path planning method of which the processing is smooth and free of interference as well as the analysis on the producibility of the components. Firstly, the geometrical models for the cutting tools, the work pieces and the obstacles are established. Along the negative direction of the scattered reference direction, griding the obstacle and the disc of the cutting tool turning circle cylindrical surface at the cutter spacing point. Based on the test in depth, the visual information can be obtained to judge the accessibility of the cutting tool along the scattered reference direction. Also, the directional cone for the attainability of the cutting tool can be planned at the cutting tool contact. Based on the continuity constraint of the direction and the restriction of the processing surroundings, the cone for the feasible direction can be calculated and the producibility can be judged. If the producibility is available, the smooth and the non-interference tool path can be planed in the directional cone as per the principle of the minimum change of direction in the tool path so as to output the tool path document. The utility model has a high computational efficiency and a simple programming, so as to be suitable to the wantonly rendered geometrical models such as the polygon grid and the free curved surface. Also, the interference of the clip and the toolbar can be avoided.
Owner:CHENGDU USEFUL TECH CO LTD

A angle-image multi-stage neural network based 3D reconstruction method

The invention discloses a single-image three-dimensional reconstruction method based on a multi-stage neural network. The three-dimensional shapes in the existing three-dimensional shape set are rendered from multiple angles to obtain a training image set, and the training point cloud is obtained at the surface acquisition points thereof. A point cloud generation network is constructed, an image encoder is constructed by using depth residual network to extract image information, and a dual-branch primary decoder is constructed by using deconvolution network and full-connection network to generate initial point cloud. A point cloud refinement network is constructed, a point cloud encoder is constructed using a posture transformation network, a multilayer perceptron and a maximum pool function, an image encoder is constructed using a depth residual network, and an image is constructed using a full connection layer. A point cloud coupler and an advanced decoder generate a fine point cloud; Training the point cloud generation network and pre-training and fine-tuning the point cloud refinement network; The input image is reconstructed by using the trained model to obtain the 3D point cloud, and the surface mesh is reconstructed to generate the 3D shape represented by polygonal mesh.
Owner:NANJING UNIV

System and method of three-dimensional image capture and modeling

System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons. The system creates an initial, (rough) model of the 3D object from one of the silhouette contour polygons, then executes an overlaying procedure to process each of the remaining silhouette contour polygons. In the overlaying process, the system processes the silhouette contour polygons collected from each silhouette image, projecting each face of the (rough) 3D model onto the image plane of the silhouette contour polygons. The overlaying of each face of the (rough) 3D model onto the 2D plane of the silhouette contour polygons enables the present invention to determine those areas that are extraneous and should be removed from the (rough) 3D model. As the system processes the silhouette contour polygons in each image it removes the extraneous spaces from the initial object model and creates new faces to patch “holes.” The polygonal mesh model, once completed, can be transformed into a triangulated mesh model. In a subsequent step, the system uses a deterministic procedure to map texture from the texture images onto the triangles of the 3D mesh model, locating that area in the various texture map images that is “best” for each mesh triangle.
Owner:ANDREAS ACQUISITION LLC

Linear anisotrophic mesh filtering

The present invention smoothes a spherical graph signal composed of spherical signal points associated with graph vertices of a graph producing a smoothed spherical graph signal composed of smoothed spherical signal points. Each smoothed spherical signal point is computed by multiplying a vertex rotation matrix by the corresponding spherical signal point. The vertex rotation matrix is computed as a weighted average of neighbor rotation matrices using a local parameterization of the group of rotations. The present invention also filters anisotropically a graph signal composed signal points associated with graph vertices of a graph producing a filtered graph signal composed of filtered signal points. Each filtered signal point is computed as a weighted average of signal points corresponding to the corresponding graph vertices and neighbor graph vertices with neighbor weight matrices. The present invention also denoises the vertex positions of a polygon mesh without tangential drift. The face normals are smoothed on the dual graph of the polygon mesh. The smoothed face normals are used to construct neighbor weight matrices on the primal graph of the polygon mesh. The vertex positions are anisotropically filtered on the primal graph of the polygon mesh. The present invention also filters the vertex positions and face normals of a polygon mesh with interpolatory vertex positions and face normal constraints.
Owner:IBM CORP

3D computer model processing apparatus

InactiveUS7079680B2Remove artefactCharacter and pattern recognition3D modellingPolygon meshVisual hull
In a computer processing apparatus 2, a 3D computer model comprising a polygon mesh 500 representing the visual hull of an object 300 is generated by processing images of the object recorded at different positions and orientations to back-project the silhouette of the object in each image to give a respective cone which constrains the volume of 3D space occupied by the object. To remove concave and convex artefacts 510 in the polygon mesh 500, the polygon mesh is projected into each image to give a respective reference silhouette for each image. A change is made to at least one edge or vertex in the polygon mesh to give a refined polygon mesh, which is then projected into each image. The resulting silhouette in each image is tested against the corresponding reference silhouette. If the silhouette of the refined polygon mesh is the same as each reference silhouette, to within an allowable tolerance, then the changed edge or vertex is allowed in the polygon mesh, otherwise the polygon mesh is returned to its previous state. This processing to change and test the polygon mesh is carried out a number of times. Artefacts are removed from the polygon mesh because their removal does not make the polygon mesh inconsistent with the reference silhouettes. Parts of the polygon mesh representing actual features of the object are not changed because such a change causes the polygon mesh to become inconsistent with at least one reference silhouette and therefore such a change is rejected.
Owner:CANON EURPOPA NV

Three-dimensional model search device and method thereof and model base generation device and method thereof

The invention discloses a three-dimensional model search device and a three-dimensional model search method and a model base generation device and a model base generation method. According to the invention, the three-dimensional model search device comprises a model normalization unit, a two-dimensional image generation unit, a model description unit and a search unit, wherein the model normalization unit is configured to rotate and/or translate a three-dimensional model to be queried, so that main axis direction of the three-dimensional model is consistent with the coordinate axis direction of a three-dimensional space, and the gravity of the three-dimensional model is consistent with the origin of a coordinate system of a system; the two-dimensional image generation unit is configured to perform polygonal mesh projection on the three-dimensional model in positive direction and negative direction of each coordinate axis of the coordinate system of the system to generate a plurality of two-dimensional images respectively; the model description unit is configured to generate a model descriptor of the three-dimensional model based on the two-dimensional images; and the search unit is configured to search the three-dimensional model matched with the three-dimensional model from the model base based on the model descriptor.
Owner:FUJITSU LTD
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