NDLI: A survey: Verification of family relationship from parents and child facial images

Content Provider	IEEE Xplore Digital Library
Author	Dandekar, A.R. Nimbarte, M.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., RTMNU, Nagpur, India (Dandekar, A.R.; Nimbarte, M.S.)
Abstract	Verification of Family Relationship from facial images is a challenging problem in computer vision, and there are very few attempts on tackling this problem in the literature. We present a survey on how to verify family relation by a various metric learning method, probabilistic framework and several methods which can extract critical points on a face using both location and texture information such as lip corners, eye corners and nose tip. These are critical points in a human face, and centre of the mouth of each face. Motivated by the fact that interclass samples (without kinship relations) with higher similarity usually lie in a neighborhood and are more easily misclassified than those with lower similarity, we aim to learn a distance metric under which the interclass samples (with kinship relations) are pushed as close as possible and interclass samples lying in a neighborhood are repulsed and pulled as far as possible, simultaneously, such that more discriminative information can be exploited for verification. To make better use of multiple feature descriptors to further improve the verification performance it is necessary to develop a method to extract the salient familial traits in face images for kinship recognition. If this idea works, an instrument may be invented to measure familial relationships. This computational kinship measurement might have a large impact in real applications, such as child adoptions, trafficking/smuggling of children, and finding missing children, identifying relatives from a photo collection. We can collect Dataset of young parent and old parent face images from Internet. In our research work verification has to be performed by measuring the number of image pairs available for training and testing along with images of their parents and children frontal images. These images are taken as kinship so as to maintain relationship between two persons who are biologically related with overlapping genes.
Sponsorship	IEEE Madhya Pradesh Subsect.
Starting Page	1
Ending Page	6
File Size	232328
Page Count	6
File Format	PDF
ISBN	9781479925254
e-ISBN	9781479925261
DOI	10.1109/SCEECS.2014.6804516
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Accuracy Databases Face recognition Feature Extraction Feature extraction Kinship Verification Face Facial features Face Recognition Familial Traits
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

Verification of family relation from parents and child facial images

Kinship Measurement on Salient Facial Features

Towards computational models of kinship verification

An experimental framework for evaluation of facial feature extraction methods

Group-level arousal and valence recognition in static images: Face, body and context

Facial feature extraction for face recognition: a review

Tri-subjects kinship verification: Understanding the core of a family

Automatic Recognition of Smiling and Neutral Facial Expressions

An effective feature extraction method for face recognition

A survey: Verification of family relationship from parents and child facial images

Similar Documents

Verification of family relation from parents and child facial images

Kinship Measurement on Salient Facial Features

Towards computational models of kinship verification

An experimental framework for evaluation of facial feature extraction methods

Group-level arousal and valence recognition in static images: Face, body and context

Facial feature extraction for face recognition: a review

Tri-subjects kinship verification: Understanding the core of a family

Automatic Recognition of Smiling and Neutral Facial Expressions

An effective feature extraction method for face recognition

A survey: Verification of family relationship from parents and child facial images