3D Face reconstruction from 2D images a survey

W. N. Widanagamaachchi, A. T. Dharmaratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

23 Citations (Scopus)


This paper surveys the topic of 3D face reconstruction using 2D images from a computer science perspective. Various approaches have been proposed as solutions for this problem but most have their limitations and drawbacks. Shape from shading, Shape from silhouettes, Shape from motion and Analysis by synthesis using morphable models are currently regarded as the main methods of attaining the facial information for reconstruction of its 3D counterpart. Though this topic has gained a lot of importance and popularity, a fully accurate facial reconstruction mechanism has not yet being identified due to the complexity and ambiguity involved. This paper discusses about the general approaches of 3D face reconstruction and their drawbacks. It concludes with an analysis of several implementations and some speculations about the future of 3D face reconstruction.

Original languageEnglish
Title of host publicationProceedings - Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2008
Number of pages7
Publication statusPublished - 2008
Externally publishedYes
EventDigital Image Computing Techniques and Applications 2008 - Rydges Lakeside Canberra, Canberra, Australia
Duration: 1 Dec 20083 Dec 2008
Conference number: 10th
https://ieeexplore.ieee.org/xpl/conhome/4699977/proceeding (Proceedings)

Publication series

NameProceedings - Digital Image Computing: Techniques and Applications, DICTA 2008


ConferenceDigital Image Computing Techniques and Applications 2008
Abbreviated titleDICTA 2008
OtherDICTA is the main Australian conference on machine vision, image processing and related areas.In 2007, it had approximately 80 papers with 110 delegates. Since its establishment, DICTA has been a biannual meeting. In 2008, it will turn into an annual conference. It is the conference of the Australian Pattern Recognition Society.
Internet address

Cite this