Multi-story indoor structured three-dimensional modeling method and system
US-2020364929-A1 · Nov 19, 2020 · US
US12530849B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12530849-B2 |
| Application number | US-202318453238-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 21, 2023 |
| Priority date | Sep 13, 2022 |
| Publication date | Jan 20, 2026 |
| Grant date | Jan 20, 2026 |
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The disclosure provides a method, an apparatus and a computer device for three-dimensional reconstruction of an indoor structure based on a two-dimensional video, wherein the method comprises: generating a color point cloud of three-dimensional structure of a house by using the video data of the house; regularizing the color point cloud of the house; extracting a plan of the house based on the color point cloud of the house; and constructing a three-dimensional model of the house in real life. The disclosure realizes autonomous and rapid construction of a three-dimensional model of a house by the general public, and realizes a low-cost, efficient and convenient three-dimensional visual digital representation of the house.
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What is claimed is: 1 . A method for three-dimensional reconstruction of an indoor structure based on a two-dimensional video, characterized in that the method comprises: S1: generating a color point cloud of three-dimensional structure of a house using a captured panoramic video data of the house; S2: regularizing the color point cloud of the three-dimensional structure of the house to obtain a regularized color point cloud; S3: vertically projecting the regularized color point cloud of the three-dimensional structure of the house onto a horizontal plane, fitting a straight line according to a density of projected points, performing region division based on the fitted straight line and a spatial division algorithm to get a vector polygon units that divides space, and splicing the vector polygon units to get vector room plan data, wherein the vector room plan data is a vector line map layer obtained by projecting the regularized color point cloud of the three-dimensional structure of the house onto a two-dimensional plane; S4: performing reconstruction of a three-dimensional model of the house based on the vector room plan data, wherein step S1 comprises following steps: S1.1: establishing a sequence image set on the captured panoramic video data of the house by means of a video stream frame extraction technique, wherein the sequence image set is a sequence of images with temporal correlation; S1.2: performing image multi-view projection correction on the sequence image set to obtain a sequence multi-view image; S1.3: based on the obtained sequence multi-view image, generating a three-dimensional sparse point cloud by sequence multi-view image dense matching and structure from motion reconstruction techniques; S1.4: generating a dense three-dimensional point cloud based on the three-dimensional sparse point cloud using a patch-based multi-view stereo method as the color point cloud of the three-dimensional structure of the house, wherein step S1.2 comprises: converting an original panoramic image into a three-dimensional panoramic spherical space by using an equirectangular projected spherical panoramic model; { x pano q = w · θ q / 2 π + ( w / 2 - 1 ) y pano q = ( h / 2 - 1 ) - h · ϕ q / π , ( - π < θ ≤ π , - π / 2 < ϕ ≤ π / 2 ) ( 1 ) { θ q = ( 2 π · x pano q + 2
Rotation, translation, scaling · CPC title
Colour editing, changing, or manipulating; Use of colour codes · CPC title
Particle system, point based geometry or rendering · CPC title
Architectural design, interior design · CPC title
Camera pose · CPC title
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