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Scale-Aware Multi-View Reconstruction Using an Active Triple-Camera System.

Hang Luo1, Christian Pape1, Eduard Reithmeier1

  • 1Institute of Measurement and Automatic Control, Faculty of Mechanical Engineering, Leibniz University Hannover, Nienburger Str. 17, 30167 Hannover, Germany.

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|December 1, 2020
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Summary
This summary is machine-generated.

A new triple-camera system and multi-view stereo (MVS) algorithm enable accurate 3D modeling in outdoor settings. This approach enhances 3D model completeness and accuracy, overcoming limitations of traditional sensors.

Keywords:
active triple-camera measurement systemcamera pose estimationparallel surface refinement

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Area of Science:

  • Computer Vision and Robotics
  • 3D Reconstruction and Modeling

Background:

  • Outdoor 3D modeling faces challenges with conventional stereo and depth sensors.
  • Existing multi-view stereo (MVS) frameworks require robust systems for complex environments.

Purpose of the Study:

  • To introduce an active wide-baseline triple-camera system for outdoor 3D modeling.
  • To develop a novel parallel surface refinement algorithm for the MVS framework.
  • To achieve accurate and complete 3D models from outdoor environments.

Main Methods:

  • Synchronized triple-image acquisition and pre-processing to aligned RGB-Depth frames.
  • Camera pose estimation using Iterative Closest Point (ICP) and RANSAC Perspective-n-Point (PnP).
  • GPU-accelerated dense reconstruction optimizing depth values using multi-view evidence, surface curvature, and depth priors.
  • Basic fusion scheme for generating 3D models from enhanced depth maps.

Main Results:

  • The proposed MVS method demonstrates competitive performance in modeling accuracy, surface completeness, and noise reduction on coarse geometry inputs.
  • The triple-camera system and reconstruction routine successfully generated 3D models in real-world outdoor scenarios.
  • The system shows potential for practical 3D modeling tasks in outdoor environments.

Conclusions:

  • The developed active wide-baseline triple-camera system and parallel MVS algorithm offer a viable solution for outdoor 3D modeling.
  • The system provides accurate and complete 3D models, outperforming conventional sensors in challenging outdoor conditions.
  • This approach is suitable for practical applications requiring robust 3D reconstruction in general outdoor environments.