Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14628
Title: Person identification from heavily occluded face images
Authors: Lanitis, Andreas 
Keywords: Face recognition;Glasses detection;Eyeglasses
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 28-May-2004
Source: Symposium on Applied Computing, Nicosia, Cyprus, 14 March 2004 through 17 March 2004
Conference: Symposium on Applied Computing 
Abstract: In numerous occasions there is need to identify subjects shown in heavily occluded face images. Typical examples include the recognition of criminals whose facial images are captured by surveillance cameras. In such cases a significant part of the subjects face is occluded making the process of identification extremely difficult, both for automatic face recognition systems and human observers. In this paper we propose a face recognition algorithm, which can be used for identifying individuals with hidden facial parts. During the face recognition procedure, occluded facial regions are detected so that the model-based face recognition algorithm implemented makes use of information only from the non-occluded facial regions. With our approach information from occluded facial regions is not utilized during the process of face recognition hence the occlusions do not destruct the recognition process and as a result the probability of achieving correct identification is improved.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s)

8
Last Week
0
Last month
checked on Aug 22, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.