Surface Remeshing: A Systematic Literature Review of Methods and Research Directions

What's the Situation With Intelligent Mesh Generation: A Survey and Perspectives

Intelligent Mesh Generation (IMG) represents a novel and promising field of research, utilizing machine learning techniques to generate meshes. Despite its relative infancy, IMG has significantly broadened the adaptability and practicality of mesh generation techniques, delivering numerous breakthroughs and unveiling potential future pathways. However, a noticeable void exists in the contemporary literature concerning comprehensive surveys of IMG methods. This paper endeavors to fill this gap by providing a systematic and thorough survey of the current IMG landscape. With a focus on 113 preliminary IMG methods, we undertake a meticulous analysis from various angles, encompassing core algorithm techniques and their application scope, agent learning objectives, data types, targeted challenges, as well as advantages and limitations. We have curated and categorized the literature, proposing three unique taxonomies based on key techniques, output mesh unit elements, and relevant input data types. This paper also underscores several promising future research directions and challenges in IMG.

Effects of remeshing algorithms on trueness of fit when used to compress .stl files for digital dental model: A narrative literature review

OBJECTIVES

In recent years, there has been a transition toward using and storing digitized dental models instead of physical casts. The size of .stl files is directly correlated with a need for higher computer processing power, longer operation time and a need for more storage space. Several studies explored the impact of decreasing the mesh resolution to decrease file size while maintaining trueness of fit between the original and altered files. Multiple authors suggested to compress .stl files by removing a fixed percentage of triangular faces. However, certain variables which are not yet fully investigated may impact the outcome of remeshing and compressing .stl files.

METHODS

This narrative review article explores important concepts and considerations that may have a significant impact on the outcome of remeshing and compressing .stl file.

RESULTS

When restructuring digital meshes to compress .stl files, numerous variables such as initial mesh density, adaptive resolution, scanning technology, rendition and remeshing algorithms, and the clinical situation can affect the outcome.

CONCLUSION

Prior to applying subjective compression to .stl files by a static percentage, multiple variables must be considered to ensure trueness of fit is preserved. The results obtained for specific situations may not extrapolate to others.

CLINICAL SIGNIFICANCE

Remeshing algorithms used to reduce .stl file size, or to optimize the files prior to manufacturing, may cause the loss of important data. Further research is needed to guide clinicians safely altering digital meshes.

Interactive Laboratories for Science Education: A Subjective Study and Systematic Literature Review

In science education laboratory experimentation has a vital role for students’ learning enhancement. Keeping in view the importance of modern day technologies in teaching learning process, various interactive laboratories (ISLs) have been developed to assist students in hands-on experiments in science education. In this paper we describe the potential contributions of existing interactive science laboratories (ISLs) in the major subjects of science, i.e., chemistry, biology and physics. The existing ISLs include virtual labs and simulation software where users performed their experiments. Important problems and challenges in the existing ISLs are highlighted. The systematic literature review (SLR) methodology is used for article searching, selection, and quality assessments. For this study, 86 articles after final selection using SLR are selected and classified into different categories. Each article is selected after briefly studying its different information, including category of the article, key idea, evaluation criterion, and its strengths and weaknesses. A subjective study with field experts was also conducted to investigate one of our existing virtual lab about the practical implementation and to find out the key issues in its implementation and use. Then, considering the suggestions of the subjective study, some guidelines are proposed for the improvement of future ISLs.