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Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

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Disparity map generation from illumination variant stereo images using efficient hierarchical dynamic programming.

Viral H Borisagar¹, Mukesh A Zaveri²

¹Computer Engineering Department, Government Engineering College, Gandhinagar, Gujarat 382028, India.

Thescientificworldjournal

|November 12, 2014

Summary

This study introduces a new hierarchical stereo matching algorithm that effectively generates disparity maps from images with varying illumination. The method overcomes illumination challenges, providing high-quality results for diverse stereo image pairs.

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Area of Science:

Computer Vision
Image Processing

Background:

Stereo image pairs often suffer from illumination variations due to environmental factors and camera positioning.
These variations can significantly degrade the accuracy of disparity map estimation, a crucial step in 3D reconstruction.

Purpose of the Study:

To develop a novel hierarchical stereo matching algorithm robust to illumination variations.
To improve the quality and reliability of disparity maps generated from illumination-variant stereo image pairs.

Main Methods:

Employing window matching and dynamic programming for initial disparity map estimation.
Utilizing homomorphic filtering as a preprocessing step to mitigate illumination differences.
Applying anisotropic diffusion for refining the disparity map to achieve high-quality output.
Implementing a hierarchical approach to reduce computational complexity.

Main Results:

The proposed algorithm successfully generates high-quality disparity maps even with significant illumination variations.
It demonstrates robust performance on both illumination-variant and invariant stereo image pairs.
The hierarchical strategy effectively decreases computation time for stereo matching.

Conclusions:

The novel hierarchical stereo matching algorithm provides a robust solution for disparity map generation in the presence of illumination variations.
This approach is suitable for real-world applications including robot navigation, 3D scene reconstruction, and aerial surveys.