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

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Jovan Toroman
Jovan Toroman

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GJCST Volume 18 Issue D3

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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.

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.

Jovan Toroman. 2018. \u201cUtilization of 3-d Models for Enhancing Facial Recognition over Various Angles\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 18 (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

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GJCST-D Classification: I.5.2
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v1.2

Issue date

December 13, 2018

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English

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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.

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

Jovan Toroman
Jovan Toroman

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