Face hallucination with application in far distance face recognition
Access Status
Open access
Authors
Xu, Xiang
Date
2014Supervisor
Prof. Ling Li
Assoc. Prof. Wanquan Liu
Type
Thesis
Award
PhD
Metadata
Show full item recordSchool
School of Electrical Engineering and Computing, Department of Computing
Collection
Abstract
In this thesis, faces captured in far distances are investigated. Face enhancement algorithms are studied. Hallucinating faces in holistic model and patch-based model are analysed respectively. The advantages and disadvantages of both models are discussed. An innovative holistic model and patch-based model are proposed separately. More investigation in practical surveillance environments are carried. And a new far face recognition model is proposed. Experiments demonstrate the improvement of proposed approaches.
Related items
Showing items related by title, author, creator and subject.
-
Dincer, Tuna (2000)Lactose is the major carbohydrate in milk. The presence of lactose in whey constitutes a significant pollution problem for dairy factories. At the same time, there is an increasing market for high quality crystalline ...
-
Wang, H.; Song, W.; Liu, Wan-Quan; Song, N.; Wang, Y.; Pan, H. (2018)Face recognition/verification has received great attention in both theory and application for the past two decades. Deep learning has been considered as a very powerful tool for improving the performance of face ...
-
Li, Billy Y.L. (2013)One of the most important advantages of automatic human face recognition is its nonintrusiveness property. Face images can sometime be acquired without user's knowledge or explicit cooperation. However, face images acquired ...