Abstract: Provided in embodiments of the disclosure are methods, apparatuses, and devices for spatial modeling. In one embodiment, a method comprises acquiring a panoramic image captured in a space; determining wall lines in the panoramic image based on Manhattan-World structural features of wall surfaces; and constructing a three-dimensional model for the space based on the wall lines.

Abstract: The present disclosure discloses an image processing method, apparatus, and a non-transitory computer readable medium. The method can includes: acquiring a three-dimensional (3D) model and original texture images of an object, wherein the original texture images are acquired by an imaging device; determining a mapping relationship between the 3D model and the original texture images of the object; determining, among the original texture images, a subset of texture images associated with a first perspective of the imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship.

Abstract: Provided in embodiments of the disclosure are methods, apparatuses, and devices for spatial modeling. In one embodiment, a method comprises acquiring a panoramic image captured in a space; determining wall lines in the panoramic image based on Manhattan-World structural features of wall surfaces; and constructing a three-dimensional model for the space based on the wall lines.

Abstract: The present disclosure discloses an image processing method, apparatus, and a non-transitory computer readable medium. The method can includes: acquiring a three-dimensional (3D) model and original texture images of an object, wherein the original texture images are acquired by an imaging device; determining a mapping relationship between the 3D model and the original texture images of the object; determining, among the original texture images, a subset of texture images associated with a first perspective of the imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship.

Abstract: The present disclosure discloses an image processing method, apparatus, and a non-transitory computer readable medium. The method can includes: acquiring a three-dimensional (3D) model and original texture images of an object, wherein the original texture images are acquired by an imaging device; determining a mapping relationship between the 3D model and the original texture images of the object; determining, among the original texture images, a subset of texture images associated with a first perspective of the imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship.

Abstract: A method, an apparatus, a device and a computer storage media for point cloud meshing are provided. The method includes performing a mesh reconstruction on point cloud data corresponding to a target object to obtain a reconstruction model for characterizing a surface contour of the target object; performing image registration on the reconstruction model with respect to a standard model corresponding to the target object; determining a mesh portion in the registered reconstruction model that does not overlap with the standard model; and removing the determined mesh portion from the registered reconstruction model to obtain a resulting reconstruction model of the target object. The point cloud meshing method repairs a hole structure of an object surface without the need of post-editing manually, and thus is able to improve the efficiency of repairing the hole structure of the object surface.

Abstract: A data processing method includes determining feature points in first point cloud data and feature points in second point cloud data, the first point cloud data and the second point cloud data being used for representing different parts of a same object; performing feature matching between the first point cloud data and the second point cloud data to determine feature points satisfying feature matching condition(s) between the first point cloud data and the second point cloud data, and form a plurality of feature point pairs; determining a transformation matrix in which spatial distances between feature points in one or more feature point pairs of the plurality of feature point pairs conform to a proximity condition; and performing coordinate transformation on the one or more feature point pairs using the transformation matrix to register the first point cloud data with the second point cloud data.

Abstract: A data processing method includes determining feature points in first point cloud data and feature points in second point cloud data, the first point cloud data and the second point cloud data being used for representing different parts of a same object; performing feature matching between the first point cloud data and the second point cloud data to determine feature points satisfying feature matching condition(s) between the first point cloud data and the second point cloud data, and form a plurality of feature point pairs; determining a transformation matrix in which spatial distances between feature points in one or more feature point pairs of the plurality of feature point pairs conform to a proximity condition; and performing coordinate transformation on the one or more feature point pairs using the transformation matrix to register the first point cloud data with the second point cloud data.

Abstract: A method, an apparatus, a device and a computer storage media for point cloud meshing are provided. The method includes performing a mesh reconstruction on point cloud data corresponding to a target object to obtain a reconstruction model for characterizing a surface contour of the target object; performing image registration on the reconstruction model with respect to a standard model corresponding to the target object; determining a mesh portion in the registered reconstruction model that does not overlap with the standard model; and removing the determined mesh portion from the registered reconstruction model to obtain a resulting reconstruction model of the target object. The point cloud meshing method repairs a hole structure of an object surface without the need of post-editing manually, and thus is able to improve the efficiency of repairing the hole structure of the object surface.

Abstract: The present disclosure discloses an image processing method, apparatus, and a non-transitory computer readable medium. The method can includes: acquiring a three-dimensional (3D) model and original texture images of an object, wherein the original texture images are acquired by an imaging device; determining a mapping relationship between the 3D model and the original texture images of the object; determining, among the original texture images, a subset of texture images associated with a first perspective of the imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship.

Abstract: Embodiments of the present invention provide a virtual private network implementation method and system based on a traffic engineering tunnel. The virtual private network implementation method based on a traffic engineering tunnel includes: establishing a traffic engineering tunnel in response to establishment information about a virtual private network service; bearing the virtual private network service using the traffic engineering tunnel; and deleting the traffic engineering tunnel in response to cancellation information about the virtual private network service. In the foregoing manner, a traffic engineering tunnel is dynamically established or deleted according to a requirement of a virtual private network service, a mechanism for establishing a TE tunnel as required is provided, and the tunnel not used by the virtual private network service is deleted in time, thereby effectively saving network resources.

Abstract: A graceful restart (GR) method of a router, and a router and a communication network thereof are provided. The method includes the following steps. A control plane enters a GR state. Label switched path (LSP) packets sent by a neighbor router are received, and the label information of the control plane is recovered according to the LSP packets. Whether the label information is completely recovered is determined. If the label information is completely recovered, the GR state is exited, and label information of a forwarding plane is updated according to the recovered label information of the control plane. The GR method of a router, the router, and the communication network decide whether to exit the GR state by detecting whether the label information of the control plane is completely recovered. This can precisely control the time of exiting the GR state is controlled and improve the reliability of the router.

Abstract: A graceful restart (GR) method of a router, and a router and a communication network thereof are provided. The method includes the following steps. A control plane enters a GR state. Label switched path (LSP) packets sent by a neighbor router are received, and the label information of the control plane is recovered according to the LSP packets. Whether the label information is completely recovered is determined. If the label information is completely recovered, the GR state is exited, and label information of a forwarding plane is updated according to the recovered label information of the control plane. The GR method of a router, the router, and the communication network decide whether to exit the GR state by detecting whether the label information of the control plane is completely recovered. This can precisely control the time of exiting the GR state is controlled and improve the reliability of the router.