Digital Photogrammetry for Facial Recognition-Reference-Cited by-同舟云学术

Digital Photogrammetry for Facial Recognition

Published:2006-05-30 Issue:4 Volume:6 Page:390-396
ISSN:1530-9827
Container-title:Journal of Computing and Information Science in Engineering
language:en
Short-container-title:

Author:

Galantucci L. M.¹,Ferrandes R.²,Percoco G.¹

Affiliation:

1. Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Bari, Italy

2. Laboratoire Sols, Solides et Strucutres, Institut National Polytechnique de Grenoble, Grenoble, France

Abstract

In this paper, the authors present a biometric low-cost 3D acquisition system, based on a digital photogrammetry technique. The aim of the work is to analyze the suitability of this system for facial recognition purposes. The facial data of a set of 20 people were acquired with the photogrammetric system developed by the authors, and different CAD 3D models were reconstructed for each person. The results are quantified by aligning the models and calculating mean distances and standard deviations between them using two different methods. The former considers the entire face; the latter is based on a few fiducial points of the face.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Link

http://asmedigitalcollection.asme.org/computingengineering/article-pdf/6/4/390/5485612/390_1.pdf

Reference25 articles.

1. Biometric Identification Systems;De Luis-García;Signal Process.

2. Lu, X. , 2003, “Image Analysis for Face Recognition,” http://www.cse.msu.edu/~lvxiaogu/publications/publications.htm

3. Eigenfaces for Recognition;Turk;J. Cogn Neurosci.

4. Independent Component Representations for Face Recognition;Bartlett;Proc. SPIE

5. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection;Belhumeur;IEEE Trans. Pattern Anal. Mach. Intell.

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computing Digital Signature by Transforming 2D Image to 3D: A Geometric Perspective;Communications in Computer and Information Science;2023

2. Mobile Apps for 3D Face Scanning;Lecture Notes in Networks and Systems;2021-08-03

3. Measure and comparison of facial attractiveness indices through photogrammetry and statistical analysis;2021 5th International Conference on Medical and Health Informatics;2021-05-14

4. A Machine Learning approach to study soft-tissue facial characteristics as indicators of woman attractiveness;2021 5th International Conference on Medical and Health Informatics;2021-05-14

5. The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives;International Journal of Digital Earth;2020-08-10