3D reconstruction method of optical building target based on deep neural network

Abstract

The present invention provides a method for three-dimensional reconstruction of optical architectural objects based on deep neural network, constructing optical image building datasets by labeling, and constructing deep neural network to extract optical buildings; preprocessing the input image to enhance the optical image Quality, using the local recursive method based on OTSU criterion and image entropy to segment the processed optical image, and through the training of its data set, the deep neural network has a better extraction ability; through the SENSOR simulation software, the optical target light can be quickly simulated ‑The method of building a data set for the target 3D point cloud, using the 3D‑R2N2 network to conduct a centralized study on the 3D data of the optical target image obtained, so that the 2D image is mapped to the 3D model, so as to obtain the instance of the object in an end-to-end manner, Obtaining 3D reconstruction results from optical images provides good value for development in the field of architecture.

Description

technical field [0001] The invention relates to the technical field of three-dimensional reconstruction, in particular to a method for three-dimensional reconstruction of optical architectural objects based on a deep neural network. Background technique [0002] With the development of modern technology, architectural 3D reconstruction technology has attracted more and more attention in today's society. People use computers to convert 2D images into 3D data. 3D data refers to the generated 3D images stored in the form of digital models in the computer However, traditional architecture can no longer meet people's needs, and 3D architecture is playing an increasingly important role in neighborhoods or scenes such as urban planning, intelligent buildings, disaster monitoring, and digital cities. Up to now, in-depth research has been carried out at home and abroad on the three-dimensional feature signal detection, feature signal matching, and camera feature calibration of buildi...

AI Technical Summary

Problems solved by technology

[0002] With the development of modern technology, architectural 3D reconstruction technology has attracted more and more attention in today's society. People use computers to convert 2D images into 3D data. 3D data refers to the generated 3D images stored in the form of digital models in the computer However, traditional architecture can no longer meet people's needs, and 3D architecture plays an increasingly important role in neighborhoods or scenes such as urban planning, intelligent buildings, disaster monitoring, and digital cities.

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