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Object-Oriented Hierarchy Radiation Consistency for Different Temporal and Different Sensor Images.

Nan Su1, Yiming Yan2, Chunhui Zhao3

  • 1Department of information engineering, Harbin Engineering University, Harbin 150001, China. sunan08@hrbeu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a novel radiation consistency method for 3D reconstruction using object-oriented hierarchy. It enhances dense matching for diverse temporal and sensor data, improving illumination and smoothness consistency.

Keywords:
dense matching in 3D reconstructiondifferent temporal and different sensor imagesillumination consistencysmoothness consistency

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Area of Science:

  • Computer Vision
  • Photogrammetry
  • 3D Reconstruction

Background:

  • Dense matching in 3D reconstruction is challenging with varying illumination and sensor types.
  • Existing methods struggle with illumination uniformity and relative normalization across image pairs.
  • Handling differences between temporal and sensor data requires robust consistency methods.

Purpose of the Study:

  • To propose a novel object-oriented hierarchy radiation consistency method for dense matching.
  • To address illumination consistency for both single images and image pairs with different temporal data.
  • To improve dense matching for different sensor data through enhanced sparse modeling.

Main Methods:

  • Developed an illumination consistency method using singular value equalization and invariant pixel analysis for relative illumination normalization.
  • Introduced a union group sparse method, improving the group sparse model for different sensor data.
  • Integrated object-oriented refinement for detailed illumination normalization and applied a unified smoothness level via singular value thresholds.

Main Results:

  • Experimental results demonstrate the effectiveness and superiority of the proposed radiation consistency method.
  • The method significantly improves illumination and smoothness consistency in dense matching.
  • Achieved superior performance in dense matching of mixed stereoscopic image pairs, particularly for urban objects.

Conclusions:

  • The proposed object-oriented hierarchy radiation consistency method effectively enhances dense matching for diverse data.
  • The integrated approach addresses key challenges in temporal and multi-sensor 3D reconstruction.
  • This method offers significant advantages for urban area object dense matching in 3D reconstruction.