Please use this identifier to cite or link to this item:
Title: Evaluating the performance of 3D face reconstruction algorithms
Authors: Stylianou, Georgios 
Lanitis, Andreas 
metadata.dc.contributor.other: Λανίτης, Ανδρέας
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering, Electronic Engineering, Information Engineering
Keywords: Face recognition;3D data acquisition;3D face processing;3D face reconstruction;3D reconstruction;Face image processing;Orientation parameter;Performance evaluation frameworks;Reconstruction accuracy;Algorithms;Multispectral scanners;Software engineering;Three dimensional
Issue Date: 2010
Source: International Conference on Systems, Computing Sciences and Software Engineering, 5-13 December, 2008
Abstract: The use of 3D data in face image processing applications received increased attention during the recent years. However, the development of efficient 3D face processing applications (i.e face recognition) relies on the availability of appropriate 3D scanning technology that enables real time, accurate, non-invasive and low cost 3D data acquisition. 3D scanners currently available do not fulfill the necessary criteria. As an alternative to using 3D scanners, 3D face reconstruction techniques, capable of generating a 3D face from a single or multiple face images, can be used. Although numerous 3D reconstruction techniques were reported in the literature so far the performance of such algorithms was not evaluated in a systematic approach. In this paper we describe a 3D face reconstruction performance evaluation framework that can be used for assessing the performance of 3D face reconstruction techniques. This approach is based on the projection of a set of existing 3D faces into 2D using different orientation parameters, and the subsequent reconstruction of those faces. The comparison of the actual and reconstructed faces enables the definition of the reconstruction accuracy and the investigation of the sensitivity of an algorithm to different conditions. The use of the proposed framework is demonstrated in evaluating the performance of two 3D reconstruction techniques. Springer ScienceBusiness Media B.V. 2010.
DOI: 10.1007/978-90-481-3658-2_27
Type: Conference Papers
Affiliation : Cyprus University of Technology 
European University 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record


checked on Nov 6, 2023

Page view(s)

Last Week
Last month
checked on Dec 11, 2023

Google ScholarTM



Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.