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Point cloud indoor scene layout reconstruction method based on structural analysis

An indoor scene and structural analysis technology, applied in the fields of computer vision and image processing, can solve problems such as complex algorithm design and slow processing speed

Pending Publication Date: 2020-11-24
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a point cloud indoor scene layout reconstruction method based on structural analysis, which solves the problem of complex algorithm design and slow processing speed in the prior art due to the need to consider a large number of data features in the scene

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  • Point cloud indoor scene layout reconstruction method based on structural analysis
  • Point cloud indoor scene layout reconstruction method based on structural analysis
  • Point cloud indoor scene layout reconstruction method based on structural analysis

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Embodiment Construction

[0125] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0126] A structural analysis-based point cloud indoor scene layout reconstruction method of the present invention is specifically implemented according to the following steps:

[0127] Step 1, preprocessing the indoor scene; specifically:

[0128] Step 1.1, obtain the main plane of the indoor scene by PCA principal component analysis method, determine the rotation direction by the normal vector of the main plane, and perform the scene rotation operation on the original indoor scene point cloud data to make it in a natural vertical state; among them, the original indoor scene The scene rotation operation of the scene point cloud data is implemented according to the following steps:

[0129] Step 1.1.1, the indoor scene point cloud data is P={p 1 ,p 2 ,...,p n}, where p i Indicates the coordinate information of the i-th point in the point ...

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Abstract

The invention discloses a point cloud indoor scene layout reconstruction method based on structural analysis. The method is specifically implemented according to the following steps: step 1, carryingout preprocessing operation on an indoor scene; step 2, performing coarse segmentation on the indoor scene preprocessed in the step 1, and extracting a contour of a room; step 3, dividing the layout of the indoor scene room according to the contour of the room extracted in the step 2 to obtain a room layout; and step 4, dividing walls of different surfaces of the indoor scene preprocessed in the step 1 and reconstructing, and then reconstructing a global structure of the indoor scene in the room layout divided in the step 3 to reconstruct a complete indoor structure. According to the point cloud indoor scene layout reconstruction method based on structural analysis, the problems that in the prior art, due to the fact that a large number of data characteristics in a scene need to be considered, algorithm design is complex, and the processing speed is low are solved.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing methods, and relates to a point cloud indoor scene layout reconstruction method based on structural analysis. Background technique [0002] In the field of computer vision and image processing, the 3D modeling of various scenes has always been a topic with important research significance and application value. It plays a very important role in many aspects such as mobile robot autonomous navigation, SLAM, virtual reality and 3D printing. Among the various scenes in the real world, the indoor scene is the place most closely related to people's work and life, and is the most important part of human perception of the world. With the rapid development of technologies such as robotics, computer vision, and artificial intelligence, indoor scenes reconstruction is more urgent. The 3D modeling of indoor scenes can be applied to detection activities that are essential but can...

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Application Information

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IPC IPC(8): G06T17/10G06T7/11G06T7/187G06K9/62G06F17/16
CPCG06T17/10G06T7/11G06T7/187G06F17/16G06T2207/10028G06F18/23G06F18/2135
Inventor 宁小娟王曼马杰王映辉金海燕
Owner XIAN UNIV OF TECH
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