Foveated imaging systems for target-centric imaging inspired by animal eyes

Avian eyes have evolved a deep central fovea, enabling efficient refraction of light for magnified imaging and motion tracking. This adaptation is crucial for detecting and tracking objects in dynamic environments. Additionally, avian eyes can perceive a broad spectrum of light, including visible and ultraviolet wavelengths, aiding in differentiating target objects from complex backgrounds. Despite advancements in artificial vision systems inspired by animal vision, the exceptional object detection and targeting capabilities of avian eyes, utilizing foveated and multi-spectral imaging, remain underexplored. In this study, we present an artificial vision system leveraging these unique features of avian vision. Our system incorporates an artificial fovea and vertically-stacked perovskite photodetector arrays, optimized through simulations to demonstrate foveated and multi-spectral imaging. Our system successfully identifies colored and mixed-color objects and detects remote objects through foveated imaging. Furthermore, we discuss its potential applications in unmanned aerial vehicles requiring detection, tracking, and recognition of distant targets in dynamic environments.

Authors

Institutions

Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1117/12.3042601
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Foveated imaging systems for target-centric imaging inspired by animal eyes

Young Min Song
Image Processing Techniques and Applications
article

Foveated imaging systems for target-centric imaging inspired by animal eyes

Young Min Song
article en

Abstract

Avian eyes have evolved a deep central fovea, enabling efficient refraction of light for magnified imaging and motion tracking. This adaptation is crucial for detecting and tracking objects in dynamic environments. Additionally, avian eyes can perceive a broad spectrum of light, including visible and ultraviolet wavelengths, aiding in differentiating target objects from complex backgrounds. Despite advancements in artificial vision systems inspired by animal vision, the exceptional object detection and targeting capabilities of avian eyes, utilizing foveated and multi-spectral imaging, remain underexplored. In this study, we present an artificial vision system leveraging these unique features of avian vision. Our system incorporates an artificial fovea and vertically-stacked perovskite photodetector arrays, optimized through simulations to demonstrate foveated and multi-spectral imaging. Our system successfully identifies colored and mixed-color objects and detects remote objects through foveated imaging. Furthermore, we discuss its potential applications in unmanned aerial vehicles requiring detection, tracking, and recognition of distant targets in dynamic environments.

Gwangju Institute of Science and Technology (KR)
Zero hunger
Openalex Percentile: Top 93%
Image Processing Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.