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Object recognition and localization enhancement in visual prostheses: a real-time mixed reality simulation.

Reham H Elnabawy¹, Slim Abdennadher^2,3, Olaf Hellwich⁴

¹Digital Media Engineering and Technology Department, Faculty of Media Engineering and Technology, German University in Cairo, Cairo, Egypt.

Biomedical Engineering Online

|December 24, 2022

Summary

This study introduces four image enhancement techniques to improve object recognition and localization for users of visual prostheses. Combining these methods significantly boosts accuracy and confidence while reducing task times.

Keywords:

Object localization Object recognition Real-time mixed reality simulation Simulated prosthetic vision

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Area of Science:

Biomedical Engineering
Computer Vision
Human-Computer Interaction

Background:

Blindness significantly impacts daily activities, necessitating assistive technologies.
Visual prostheses aim to restore independence and confidence for individuals with blindness.
Effective object recognition and localization are crucial for visual prosthesis functionality.

Purpose of the Study:

To propose and evaluate a novel approach using four image enhancement techniques for visual prostheses.
To improve object recognition and localization capabilities for users of artificial vision systems.

Main Methods:

Developed four image enhancement techniques: clip art representation, edge sharpening, corner enhancement, and electrode dropout handling.
Tested the techniques in a real-time mixed reality simulation mimicking visual prosthesis perception.
Conducted twelve experiments measuring object recognition (time, accuracy, confidence) and localization (grasping time, accuracy).

Main Results:

Simultaneous application of all four enhancement techniques yielded superior performance compared to no enhancement or pairwise combinations.
Significant improvements observed in recognition accuracy, confidence levels, and reduced recognition/grasping times.
The integrated enhancement approach demonstrated enhanced perception for simulated visual prosthesis users.

Conclusions:

The proposed four-technique image enhancement approach offers a promising method to improve visual prosthesis user experience.
Implementing these enhancements can lead to greater independence and improved daily living for individuals with blindness.
Further development and integration of these techniques could significantly advance the field of visual prosthetics.