Dynamic-Range Focal Sweep: Seamless Continuous Autofocus Based on High-Speed Vision for Magnified Object Tracking

This paper presents an innovative continuous autofocus (C-AF) approach based on high-speed vision. It consistently provides focused images with stable and sufficiently high frame rates, aiming to improve the ability to track small, fast-moving objects in a highly magnified scene. To achieve this, we propose the concept of a dynamic-range focal sweep enabled by a high-speed camera and a focus-tunable liquid lens with high adjustment capability. The focal sweep consistently covers a small range around the object’s focus position, guided by previous depth results obtained through the depth-from-focus (DFF) technique. We conducted verification experiments to thoroughly analyze the capability of the proposed C-AF approach. By integrating a 2-axis Galvano mirror, we built a high-speed C-AF active vision system with rapid focus and pan-tilt adjustments. The comprehensive experiment results highlight the advanced capabilities of our seamless C-AF in tracking magnified objects.

Authors

Institutions

Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10802751
Citations
1
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic-Range Focal Sweep: Seamless Continuous Autofocus Based on High-Speed Vision for Magnified Object Tracking

Kohei Shimasaki, Idaku Ishii, Akio Namiki, Tianyi Zhang
1 citations
Image Processing Techniques and Applications
0.32
article

Dynamic-Range Focal Sweep: Seamless Continuous Autofocus Based on High-Speed Vision for Magnified Object Tracking

Kohei Shimasaki, Idaku Ishii, Akio Namiki, Tianyi Zhang
article en
1 citations

Abstract

This paper presents an innovative continuous autofocus (C-AF) approach based on high-speed vision. It consistently provides focused images with stable and sufficiently high frame rates, aiming to improve the ability to track small, fast-moving objects in a highly magnified scene. To achieve this, we propose the concept of a dynamic-range focal sweep enabled by a high-speed camera and a focus-tunable liquid lens with high adjustment capability. The focal sweep consistently covers a small range around the object’s focus position, guided by previous depth results obtained through the depth-from-focus (DFF) technique. We conducted verification experiments to thoroughly analyze the capability of the proposed C-AF approach. By integrating a 2-axis Galvano mirror, we built a high-speed C-AF active vision system with rapid focus and pan-tilt adjustments. The comprehensive experiment results highlight the advanced capabilities of our seamless C-AF in tracking magnified objects.

Hiroshima University (JP), Chiba University (JP)
Climate action
Openalex Percentile: Top 34%
Image Processing Techniques and Applications
0.32
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.

Dynamic-Range Focal Sweep: Seamless Continuous Autofocus Based on High-Speed Vision for Magnified Object Tracking — Kohei Shimasaki, Idaku Ishii, et al. · (2024) | TGRS Research Map | TGRS