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Related Experiment Video

Updated: Jul 15, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Depth, contrast and view-based homing in outdoor scenes.

Wolfgang Stürzl¹, Jochen Zeil

¹ARC Centre of Excellence in Vision Science and Centre for Visual Sciences, Research School of Biological Sciences, The Australian National University, Canberra, ACT, Australia. wolfgang.stuerzl@anu.edu.au

Biological Cybernetics

|April 20, 2007

Summary

Image difference functions (IDFs) are useful for robot navigation. Scene depth and contrast significantly influence IDF shape, which can be modeled for quantitative analysis.

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Area of Science:

Robotics
Computer Vision
Environmental Science

Background:

View-based homing utilizes panoramic image differences (IDFs) for navigation.
IDF characteristics are influenced by scene properties but not fully understood.

Purpose of the Study:

To investigate how scene depth structure and contrast affect the shape of IDFs.
To develop a model for quantitative IDF comparisons across different scenes.

Main Methods:

Quantified depth distribution in outdoor scenes.
Calculated IDFs from processed panoramic images (local mean subtraction, DoG filtering, contrast normalization).
Compared depth-dependent translational and depth-independent rotational IDFs.

Main Results:

IDFs and catchment areas widen with increasing average object distance.
Image processing techniques enhance IDF robustness to illumination and shadows.
Contrast-normalized IDFs are primarily driven by scene depth and occluding contours.

Conclusions:

Scene depth and contrast are key determinants of IDF shape.
Image processing improves IDF reliability for navigation.
A model for IDF shape can enable quantitative scene comparisons.