Central catadioptric camera calibration using line image and mirror contour

This study proposes a linear algorithm for central catadioptric camera calibration based on the properties of the common self-polar triangle between the line image and the mirror contour to recover intrinsic and mirror parameters. We found that one side of the common self-polar triangle of the line image and the mirror contour passes through the principal point. Two pairs of the images of circular points provided by two line images constrain the image of the absolute conic (IAC) without principal point information; then, the IAC and parameters are recoverable. Experiments using simulated and real data confirm the effectiveness and feasibility of the algorithm.

Authors

Institutions

Publication Details

Journal
Applied Optics
Published
2025-10-20
DOI
https://doi.org/10.1364/ao.577026
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Central catadioptric camera calibration using line image and mirror contour

Yue Zhao, Gong Jian, Qing-Feng Zhuo
Applied Optics
Optical measurement and interference techniques
article

Central catadioptric camera calibration using line image and mirror contour

Yue Zhao, Gong Jian, Qing-Feng Zhuo
article en

Abstract

This study proposes a linear algorithm for central catadioptric camera calibration based on the properties of the common self-polar triangle between the line image and the mirror contour to recover intrinsic and mirror parameters. We found that one side of the common self-polar triangle of the line image and the mirror contour passes through the principal point. Two pairs of the images of circular points provided by two line images constrain the image of the absolute conic (IAC) without principal point information; then, the IAC and parameters are recoverable. Experiments using simulated and real data confirm the effectiveness and feasibility of the algorithm.

Applied OpticsVol. 64(34)
Kunming University (CN), Yunnan University (CN)
Openalex Percentile: Top 70%
Optical measurement and interference techniques
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.