NDLI: Face reconstruction from image sequences for forensic face comparison

Content Provider	IET Digital Library
Author	Dam, Chris van Veldhuis, Raymond Spreeuwers, Luuk
Abstract	The authors explore the possibilities of a dense model-free three-dimensional (3D) face reconstruction method, based on image sequences from a single camera, to improve the current state of forensic face comparison. They propose a new model-free 3D reconstruction method for faces, based on the Lambertian reflectance model to estimate the albedo and to refine the 3D shape of the face. This method avoids any form of bias towards face models and is therefore suitable in a forensic face comparison process. The proposed method can reconstruct frontal albedo images, from multiple non-frontal images. Also a dense 3D shape model of the face is reconstructed, which can be used to generate faces under pose. In the authors’ experiments, the proposed method is able to improve the face recognition scores in more than 90% of the cases. Using the likelihood ratio framework, they show for the same experiment that for data initially unsuitable for forensic use, the reconstructions become meaningful in a forensic context in more than 60% of the cases.
Starting Page	140
Ending Page	146
Page Count	7
ISSN	20474938
Volume Number	5
e-ISSN	20474946
Issue Number	Issue 2, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/5/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2015.0036
Journal	IET Biometrics
Publisher Date	2016-06-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Shape Refining Albedo Estimation Computer Vision And Image Processing Technique Dense 3D Shape Model Dense Model-free 3D Face Reconstruction Method Face Recognition Face Recognition Score Improvement Forensic Face Comparison Process Frontal Albedo Image Reconstruction Graphics Technique Image Forensics Image Recognition Image Reconstruction Image Sequence Image Sonsor Lambertian Reflectance Model Likelihood Ratio Framework Multiple Nonfrontal Image Solid Modelling Statistical Analysis Statistics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive face modelling for reconstructing 3D face shapes from single 2D images

Specularity removal for enhancing face recognition

Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination

Appearance-based approach for complete human jaw shape reconstruction

Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines

Measuring and mitigating targeted biometric impersonation

Recovering shape and reflectance model of non-lambertian objects from multiple views

Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model

3D face mask presentation attack detection based on intrinsic image analysis

Face reconstruction from image sequences for forensic face comparison

Similar Documents

Adaptive face modelling for reconstructing 3D face shapes from single 2D images

Specularity removal for enhancing face recognition

Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination

Appearance-based approach for complete human jaw shape reconstruction

Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines

Measuring and mitigating targeted biometric impersonation

Recovering shape and reflectance model of non-lambertian objects from multiple views

Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model

3D face mask presentation attack detection based on intrinsic image analysis

Face reconstruction from image sequences for forensic face comparison