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Review Paper on Face Clustering

Rakhi 1 , Suman 2

Section:Review Paper, Product Type: Journal Paper
Volume-8 , Issue-8 , Page no. 13-16, Aug-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i8.1316

Online published on Aug 31, 2020

Copyright © Rakhi, Suman . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rakhi, Suman, “Review Paper on Face Clustering,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.8, pp.13-16, 2020.

MLA Style Citation: Rakhi, Suman "Review Paper on Face Clustering." International Journal of Computer Sciences and Engineering 8.8 (2020): 13-16.

APA Style Citation: Rakhi, Suman, (2020). Review Paper on Face Clustering. International Journal of Computer Sciences and Engineering, 8(8), 13-16.

BibTex Style Citation:
@article{_2020,
author = {Rakhi, Suman},
title = {Review Paper on Face Clustering},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2020},
volume = {8},
Issue = {8},
month = {8},
year = {2020},
issn = {2347-2693},
pages = {13-16},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5189},
doi = {https://doi.org/10.26438/ijcse/v8i8.1316}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i8.1316}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5189
TI - Review Paper on Face Clustering
T2 - International Journal of Computer Sciences and Engineering
AU - Rakhi, Suman
PY - 2020
DA - 2020/08/31
PB - IJCSE, Indore, INDIA
SP - 13-16
IS - 8
VL - 8
SN - 2347-2693
ER -

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Abstract

In recent years video surveillance system has been broadly established and nowadays we can see the billions of cameras are embedded in smart phones and other devices. Face investigation from videos and images is most predominant task for various government agencies and industry alike. The process in which unlabeled facial images are assembled according to individual characteristics is called face clustering. Clustering is required in numerous applications for example, law enforcement, disruptive design, construction, social media, health care and surveillance applications etc. Here, in this paper we reviewed some of the face clustering works done by different researchers using different methods for different applications and also gives the brief knowledge about the work done by the previous researcher

Key-Words / Index Term

Face Recognition, Face Clustering, Video segmentation, Video Organization etc

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