Utilization of 3-d Models for Enhancing Facial Recognition over Various Angles

Jovan Toroman

Utilization of 3-d Models for Enhancing Facial Recognition over Various Angles

Jovan Toroman *

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Utilization of 3-d Models for Enhancing Facial Recognition over Various Angles

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Abstract

Aalgorithms for facial recognition PCA (Principal component analysis) encounter a dramatic performance decline when analyzing photos taken from various angles. As part of this research, a 3-D model was utilized for the sake of improving abovementioned performance. This model enables us to convert an image of somebody’s face, which was taken from a specific angle to another face. Model was tested using biometric database created on Belgrade University. Picture rotation according to model was performed before comparing with the specimen pictures from the database. Results of this study have shown accuracy in regards to biometric verification, where identification percentage has been drastically improved.

References

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Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Jovan Toroman. 2018. "Utilization of 3-d Models for Enhancing Facial Recognition over Various Angles". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 18 (GJCST Volume 18 Issue D3).

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GJCST Volume 18 Issue D3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-D Classification I.5.2

Submission ReceivedDecember 8, 2017
Peer Review Double Blind
Handling Editor
Accepted January 2, 2018
Published January 15, 2018

Version of record

v1.2

Issue date

December 13, 2018

Language

English

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Article Matrices

Total Score: 141

Country: Serbia

Subject: Global Journal of Computer Science and Technology

Authors: Jovan Toroman (PhD/Dr. count: 0)

View Count (all-time): 412

Total Views (Real + Logic): 1508

Total Downloads (simulated): 73

Publish Date: 2018 01, Mon

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Total Views: 1.5K

Total Downloads: 73

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