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Thesis

Features and methods for improving large scale face recognition

Abstract:

This thesis investigates vector representations for face recognition, and uses these representations for a number of tasks in image and video datasets.

First, we look at different representations for faces in images and videos. The objective is to learn compact yet effective representations for describing faces. We first investigate the use of "Fisher Vector" descriptors for this task. We show that these descriptors are perfectly suited for face representation tasks. We also ...

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Department:
Brasenose College

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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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