Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/61822
Title: Face recognition based on image sets
Authors: Huang, Likun
Keywords: DRNTU::Engineering::Bioengineering
Issue Date: 2014
Source: Huang, L. (2014). Face recognition based on image sets. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: In this thesis, we study the problem of face recognition based on image sets. The main objective of our work is to develop set-based distance metrics that are able to measure the similarity between image sets, rather than conventional distance metrics that can only measure the distance between samples. The face images obtained from real-life impose great challenges to the conventional face recognition systems. Large variations in appearances and various imperfections such as occlusions and misalignments in the face images severely degrade the recognition performance. One possible solution is to utilize more face images for each person, e.g., a collection of photos from personal galleries or frames extracted from a video clip. Under such circumstances, the face recognition task becomes the process of modelling and matching image sets. Our investigation then focuses on developing appropriate models and set-based distance metrics for representing different image sets.
URI: http://hdl.handle.net/10356/61822
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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