Surveying instrument, augmented reality (ar)-system and method for referencing an ar-device relative to a reference system
US-2019094021-A1 · Mar 28, 2019 · US
US11222465B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11222465-B2 |
| Application number | US-202017043580-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 27, 2020 |
| Priority date | Mar 28, 2019 |
| Publication date | Jan 11, 2022 |
| Grant date | Jan 11, 2022 |
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The present invention discloses an embedded urban design scene emulation method and system. The method includes the following steps: constructing a status quo urban three-dimensional model scene according to collected oblique photography data; loading a three-dimensional model of urban design to a scene, and extracting geometric attributes for generation of buildings; unifying a space coordinate system of models and scenes, and automatically determining a space matching degree by taking buildings as a basic unit, and marking matched buildings with Y and mismatched buildings with N for distinction; for a region with the buildings marked with N, performing a local flattening operation in a three-dimensional model scene of oblique photography to flatten stereo data; for a region with the buildings marked with Y, performing real-time space editing in the three-dimensional model of urban design to hide the marked buildings; and opening two sets of processed space data to implement mosaic display. The present invention can conveniently embed a three-dimensional model of urban design into a status quo three-dimensional model of oblique photography for scene emulation, and provides technical and method supports for digital presentation and management of urban design achievements.
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What is claimed is: 1. An embedded urban design scene emulation method, wherein the method comprises the following steps: step 1: processing oblique photography data in an established range obtained by collection to construct a three-dimensional model of oblique photography, performing object management on buildings in the model, and extracting geometric attributes for generation of each building; step 2: loading a three-dimensional model of urban design in an established range into a three-dimensional model scene of oblique photography, and extracting geometric attributes for generation of each building; step 3: performing, for the three-dimensional model scene of oblique photography and three-dimensional model data of urban design in a unified space coordinate system, automatic determination of space matching by taking buildings as a basic unit, matched buildings being marked with Y, and mismatched buildings being marked with N; step 4: performing, for the buildings marked with N, a flattening operation in the three-dimensional model of oblique photography, so that stereo data of the region is leveled off; step 5: performing, for the buildings marked with Y, real-time space editing in the three-dimensional model of urban design to hide the marked buildings; and step 6: simultaneously opening two sets of data processed in step 4 and step 5 to implement mosaic display. 2. The embedded urban design scene emulation method according to claim 1 , wherein a specific method for step (1) is as follows: (1.1) collecting and acquiring oblique photography data not less than an established range, that is, oblique data in an urban design range; (1.2) generating, for the oblique photography data, the three-dimensional model of oblique photography based on real image texture through automatic modeling software; (1.3) loading the three-dimensional model of oblique photography through a SuperMap platform; (1.4) constructing a triangulated irregular network (TIN), and mapping high-resolution images taken from different angles onto a TIN model; and (1.5) extracting a two-dimensional basal surface of a building, to implement object management on a building model. 3. The embedded urban design scene emulation method according to claim 1 , wherein a specific method for step (2) is as follows: (2.1) editing the three-dimensional model of urban design, clearing the geographic position of the model, and setting latitude and longitude information to zero; (2.2) importing the three-dimensional model of urban design to the SuperMap platform; (2.3) adding a coordinate system consistent with the three-dimensional model of oblique photography to load a source of the three-dimensional model data of urban design into the scene; and (2.4) adding an element attribute table through layer attribute editing, to implement storage and management of geometric information and attribute information of each building. 4. The embedded urban design scene emulation method according to claim 3 , wherein a specific method for step (3) is as follows: (3.1) matching building objects with a spatial overlapping relationship in three-dimensional models of the three-dimensional model of oblique photography and the three-dimensional model of urban design in the unified coordinate system, generating a corresponding building basal surface in the three-dimensional model of oblique photography and a building basal surface in the three-dimensional model of urban design, and calculating the following three indexes: a basal surface shape similarity, SS for short: SS = 2 * LSI p - LSI q LSI p + LSI q LSI p and LSI q being calculated through the following formulas: L S I p = 0 . 2 5 * E 1 A 1 LSI q = 0 . 2 5 * E 2 A 2 wherein LSI p denotes a building landscape shape index in the three-dimensional model of oblique photography, and LSI q denotes a building landscape shape index in the three-dimensional model of urban design; E1 denotes a polygon perimeter of the building basal surface in the three-dimensional model of oblique photography, and A1 denotes a polygon area of the building basal surface in the three-dimensional model of oblique photography; E2 denotes a polygon perimeter of the building basal surface in the three-dimensional model of urban design, and A2 denotes a polygon area of the building basal surface in the three-dimensional model of urban design; an overlapping area ratio, OAR for short: OAR = 1 - 2 * A 3 A p + A q wherein A p denotes a polygon area of the building basal surface in the three-dimensional model of oblique photography, A q denotes a polygon area of the building basal surface in the three-dimensional model of urban design; and A3 denotes an overlapping area between a polygon of the building basal surface in the three-dimensional model of oblique photography and a polygon of the building basal surface in the three-dimensional model of urban design; and a height similarity, HS for short:
Planning or developing urban green infrastructure · CPC title
Shape modification · CPC title
Multiple view windows (top-side-front-sagittal-orthogonal) · CPC title
Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title
Analysis of texture (depth or shape recovery from texture G06T7/529) · CPC title
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