Symmetry and Asymmetry in Computer Vision and Graphics

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1539

Special Issue Editors


E-Mail Website
Guest Editor
College of Artificial Intelligence, China University of Petroleum, Beijing 102249, China
Interests: image processing and virtual reality; machine vision and robotics; deep learning and digital twins

E-Mail Website
Guest Editor
Department of Automation, College of Artificial Intelligence, China University of Petroleum, Beijing 102249, China
Interests: analysis; prediction; controlling of complicated nonlinear system; pattern recognition and intelligence systems; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computer vision and graphics have become some of the most active branches in computer science, with advances in technology allowing for the analysis and presentation of increasingly realistic three-dimensional worlds. Symmetry and asymmetry in computer vision and graphics explore the techniques of image and video analysis and understanding in computer vision, as well as the basic laws of representation, interaction, and rendering in computer graphics. This Special Issue aims to disseminate knowledge and experience while reflecting the latest developments and directions in the field of computer vision and graphics. We invite researchers, scholars, engineers, and practitioners to contribute original research articles, reviews, and case studies to this Special Issue.

Prof. Dr. Yuanfeng Lian
Dr. Jian-wei Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neural networks and deep learning
  • generative models
  • pre-training models
  • multimodal large models
  • cross-modal learning
  • object detection, tracking, and recognition
  • action recognition
  • three-dimensional reconstruction and rendering
  • computational geometry
  • shape analysis and retrieval
  • visualization and visual analysis
  • VR/AR/MR
  • digital twins
  • human–computer interaction
  • interactive machine learning
  • interactive embodied intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

25 pages, 11063 KiB  
Article
Evaluating the Accuracy of Smartphone-Based Photogrammetry and Videogrammetry in Facial Asymmetry Measurement
by Luiz Carlos Teixeira Coelho, Matheus Ferreira Coelho Pinho, Flávia Martinez de Carvalho, Ana Luiza Meneguci Moreira Franco, Omar C. Quispe-Enriquez, Francisco Airasca Altónaga and José Luis Lerma
Symmetry 2025, 17(3), 376; https://doi.org/10.3390/sym17030376 - 1 Mar 2025
Viewed by 1087
Abstract
Facial asymmetry presents a significant challenge for health practitioners, including physicians, dentists, and physical therapists. Manual measurements often lack the precision needed for accurate assessments, highlighting the appeal of imaging technologies like structured light scanners and photogrammetric systems. However, high-end commercial systems remain [...] Read more.
Facial asymmetry presents a significant challenge for health practitioners, including physicians, dentists, and physical therapists. Manual measurements often lack the precision needed for accurate assessments, highlighting the appeal of imaging technologies like structured light scanners and photogrammetric systems. However, high-end commercial systems remain cost prohibitive, especially for public health services in developing countries. This study aims to evaluate cell-phone-based photogrammetric methods for generating 3D facial models to detect facial asymmetries. For this purpose, 15 patients had their faces scanned with the ACADEMIA 50 3D scanner, as well as with cell phone images and videos using photogrammetry and videogrammetry, resulting in 3D facial models. Each 3D model (coming from a 3D scanner, photogrammetry, and videogrammetry) was half-mirrored to analyze dissimilarities between the two ideally symmetric face sides using Hausdorff distances between the two half-meshes. These distances were statistically analyzed through various measures and hypothesis tests. The results indicate that, in most cases, both photogrammetric and videogrammetric approaches are as reliable as 3D scanning for detecting facial asymmetries. The benefits and limitations of using images, videos, and 3D scanning are also presented. Full article
(This article belongs to the Special Issue Symmetry and Asymmetry in Computer Vision and Graphics)
Show Figures

Figure 1

Back to TopTop