Cliniface: Open source 3D Facial Image Visualization and Analysis Software

Analytics Oct 29, 2019



Cliniface is an open-source facial analysis solution.  It supports many file formats. It's built using many open-source libraries and frameworks. Cliniface is built on a modular architecture, which allows developers to extend its functionalities and features.

Description (By the developer):

Faces can provide clues about an individual’s condition through subtle variations in facial features (facial phenotypes). These variations are part of the spectrum of who we are as individuals. For instance, 1/3 of rare diseases have facial clues and identifying these can aid diagnosis.
The Cliniface project is a partnership between the Cooperative Research Centre for Spatial Information (CRCSI), Department of Health Western Australia, Curtin University, the Princess Margaret Hospital Foundation, the Undiagnosed Diseases Program WA and Linear Clinical Research.

Acknowledgments


The developers of the Cliniface application recognize the funding support of the following organizations:
  • FrontierSI (formerly Cooperative Research Centre for Spatial Information)
  • Western Australian Department of Health
  • Curtin University
  • Perth Children's Hospital Foundation
  • Roy Hill Community Foundation
  • Linear Clinical Research
The Cliniface team would also like to acknowledge the contributions from other collaborators including:
  • Genetic Services of Western Australia
  • Genome.One
  • The Western Australian Register of Developmental Anomalies
  • Telethon Kids Institute, Genetic and Rare Diseases Program
  • Patches Paediatric Clinics
  • FASD Research Australia Centre for Research Excellence
  • Murdoch Children's Research Institute
  • RD-Connect

Platforms


Currently, Cliniface supports Linux and Windows. The project's repo contains a Windows executable package and a portable AppImage which works on almost all Linux/ Unix distros.

Resources


Website
Github

Analytics3DVisualizationOpen sourceLinuxWindowsResearch


Hamza Mu

A physician with programming skills, Linux user since late 1990s, Open source supporter . Doing coding with Python, NodeJS (Meteor, VueJS, Express, D3, PhantomJS), SmallTalk & R language.