Face hallucination with application in far distance face recognition
MetadataShow full item record
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.
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)© 2018 by the authors. Licensee MDPI, Basel, Switzerland. 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 ...
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 ...