Bruno Rodriguez-Garcia, Ines Miguel-Alonso, Henar Guillen-Sanz, Andres Bustillo
{"title":"LoDCalculator: A level of detail classification software for 3D models in the Blender environment","authors":"Bruno Rodriguez-Garcia, Ines Miguel-Alonso, Henar Guillen-Sanz, Andres Bustillo","doi":"10.1016/j.softx.2025.102107","DOIUrl":null,"url":null,"abstract":"<div><div>The use of Level of Detail (LoD), a crucial technique in the development of 3D models, implies lower cost graphics and resource economies. These savings are evident in contexts where technical resources are limited, such as immersive Virtual Reality and whenever LoD is critical for accurate representation, such as Cultural Heritage dissemination. Consequently, various systems are used to classify 3D models based on their LoD. However, those systems have several shortcomings that hinder their widespread use. In this research, LoDCalculator, an add-on for Blender open-source modelling software, is presented to address such shortcomings. LoDCalculator ensures unambiguous, universal, and accessible classification of 3D models. It was tested by classifying 12 3D models. The scores were then compared with the evaluations of a group of students and professional 3D modelers in a subjective evaluation. The results of the comparison were satisfactory, showing minimal significant differences between the software and the evaluation group classifications.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102107"},"PeriodicalIF":2.4000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000743","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
The use of Level of Detail (LoD), a crucial technique in the development of 3D models, implies lower cost graphics and resource economies. These savings are evident in contexts where technical resources are limited, such as immersive Virtual Reality and whenever LoD is critical for accurate representation, such as Cultural Heritage dissemination. Consequently, various systems are used to classify 3D models based on their LoD. However, those systems have several shortcomings that hinder their widespread use. In this research, LoDCalculator, an add-on for Blender open-source modelling software, is presented to address such shortcomings. LoDCalculator ensures unambiguous, universal, and accessible classification of 3D models. It was tested by classifying 12 3D models. The scores were then compared with the evaluations of a group of students and professional 3D modelers in a subjective evaluation. The results of the comparison were satisfactory, showing minimal significant differences between the software and the evaluation group classifications.
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.