NDLI: UMB-DB: A database of partially occluded 3D faces

Content Provider	IEEE Xplore Digital Library
Author	Colombo, A. Cusano, C. Schettini, R.
Copyright Year	2011
Description	Author affiliation: Università degli Studi di Milano-Bicocca, Viale Sarca 336, 20126, Italy (Colombo, A.; Cusano, C.; Schettini, R.)
Abstract	In this paper we present the UMB-DB 3D face database. The database has been built to test algorithms and systems for 3D face analysis in uncontrolled and challenging scenarios, in particular in those cases where faces are occluded. The database is composed of 1473 pairs of depth and color images of 143 subjects. Each subject has been acquired with different facial expressions, and with the face partially occluded by various objects such as eyeglasses, hats, scarves and hands. The total number of occluded acquisitions is 578. The database, that is freely available for research purposes, could be used for various investigations, some of which are suggested in the paper. For the sake of comparison, we report the results of some of the 3D face detection and recognition algorithms in the state of the art.
Starting Page	2113
Ending Page	2119
File Size	1459228
Page Count	7
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Databases Face recognition Manuals Three dimensional displays Image restoration Face detection
Content Type	Text
Resource Type	Article

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

Occlusion detection and image restoration in 3D face image

Florence faces: A dataset supporting 2D/3D face recognition

The MUG facial expression database

Designing of 3D-face recognition system

Occlusion-robust 3D face recognition using restoration and local classifiers

A 3D algorithm for unsupervised face identification

A new method for human face recognition using texture and depth information

Three-Dimensional Occlusion Detection and Restoration of Partially Occluded Faces

Exploiting 3D faces in biometric forensic recognition

UMB-DB: A database of partially occluded 3D faces

Similar Documents

Occlusion detection and image restoration in 3D face image

Florence faces: A dataset supporting 2D/3D face recognition

The MUG facial expression database

Designing of 3D-face recognition system

Occlusion-robust 3D face recognition using restoration and local classifiers

A 3D algorithm for unsupervised face identification

A new method for human face recognition using texture and depth information

Three-Dimensional Occlusion Detection and Restoration of Partially Occluded Faces

Exploiting 3D faces in biometric forensic recognition

UMB-DB: A database of partially occluded 3D faces