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Face Identification and Face Verification in Spherical Images

Kadhane, Abhilash Rajkumar (2020) Face Identification and Face Verification in Spherical Images. Masters thesis, Dublin, National College of Ireland.

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The advances in omnidirectional vision systems have opened a whole new world of its applications in various domains. This looming technology has increased the popularity and demand of omnidirectional cameras in human-machine interaction systems and surveillance systems. With this rising demand, the requirement of powerful networks to analyse the input spherical images has also increased. Face recognition in spherical images is an unexplored area and should be researched further as it has great potential. Also absence of publicly available spherical face dataset has limited any research in this domain. This project includes face identification implemented using KNN and SVM classifiers and face verification by using Joint Bayesian. Multiple models including a finetuned network are implemented for feature extraction and evaluated based on their performance in Face identification and Face verification tasks. Highest accuracy achieved in the Face identification task was 89% (SVM) and 92% (KNN) by the Fine-tuned ResNet-50 model. In face verification task, highest accuracy of 87% (Joint Bayesian) was obtained by the same model. After Finetuning an existing pretrained network, remarkable improvement in both the Face identification and Face verification tasks were observed.
Keywords: CNN, Spherical images, Equirectangular projection, Face identification, Face verification

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 22 Jan 2021 14:29
Last Modified: 22 Jan 2021 14:29

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