自动相机校准（ACC）：一个python GUI应用程序，用于自动计算Arri相机系统的相机特性

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-06-03 DOI:10.1016/j.softx.2025.102220

Nicholas D. Matthews, Michael D. Holm, Anjali Gali, Alex R. Renner, Eliot Winer

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引用次数: 0

摘要

在虚拟电影制作中，标定摄像机的特性以生成摄像机模型是一项必要的、耗时且费力的过程。具有技术专长和经验的人员必须手动调整镜头配置并执行重复的图像检测程序。由于校准需要在紧迫的时间限制内跨不同的系统设置执行多次，因此自动化过程将减少虚拟电影制作的时间和成本。自动相机校准（ACC）软件是为了在电影产品Arri中使用最广泛的相机系统上通过马达启用的相机组件自动调整镜头并进行实时图像检测而开发的。验证方法表明，ACC完成摄像机标定的速度比目前流行的虚幻引擎摄像机标定方法快3倍以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated camera calibration (ACC): A python GUI application for automatically calculating camera intrinsics with Arri camera systems

Calibrating camera intrinsics to produce a camera model is an essential, time-consuming and labor-intensive process in virtual film production. Personnel with technical expertise and experience must make manual adjustments to lens configurations and perform repetitive image detection procedures. Since calibration needs to be performed multiple times across different system setups within tight time constraints, automating the process would reduce the time and cost of virtual film production. The Automated Camera Calibration (ACC) software was developed to automate lens adjustments on the most widely used camera system in film product, Arri, through motor-enabled camera components and conduct real-time image detection. Validation methods showed that ACC can complete camera calibration over three times faster than the popular Unreal Engine camera calibration method.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.