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Related Experiment Video

Updated: Jun 28, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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Published on: April 18, 2025

Fast Building Instance Proxy Reconstruction for Large Urban Scenes.

Jianwei Guo, Haobo Qin, Yinchang Zhou

IEEE Transactions on Pattern Analysis and Machine Intelligence

|April 16, 2024

Summary

This summary is machine-generated.

This study introduces a new method for 3D building reconstruction from aerial images, improving efficiency and accuracy for large urban scenes. The approach enhances aerial path planning with detailed 3D building models.

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

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Published on: July 5, 2024

Area of Science:

Computer Vision
3D Reconstruction
Urban Planning

Background:

Digitalizing large urban scenes, especially buildings, is challenging due to data acquisition issues like incomplete coverage and lack of semantic information.
Existing methods struggle with efficiency and reliability in path planning for urban building reconstruction.

Purpose of the Study:

To propose an effective workflow and novel algorithms for efficient 3D building instance proxy reconstruction in large urban scenes.
To address challenges in data acquisition, semantic understanding, and path planning for urban building digitalization.

Main Methods:

A learning-based approach for instance segmentation of urban buildings from aerial images.
A voting-based algorithm to fuse multi-view instance information into a sparse point cloud.
A layer-based surface reconstruction method for 3D building proxies from sparse point clouds.

Main Results:

Effective instance segmentation of building instances from point clouds.
Generation of promising 3D surface representations of buildings in large urban scenes.
Significant improvement in data completeness and accuracy for aerial path planning using instance-enhanced models.

Conclusions:

The proposed workflow and algorithms enable efficient and accurate 3D building reconstruction for large urban scenes.
Instance-enhanced building proxy models significantly improve aerial path planning, leading to highly detailed 3D models.