Change search
ReferencesLink to record
Permanent link

Direct link
Automatic Facial Occlusion Detection and Removal
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In our daily life, we are faced with many occluded faces. The occlusion may be from different objects like sunglasses, mufflers, masks, scarves etc. Sometimes, this occlusion is used by the criminal persons to hide their identity from the surroundings. In this thesis, a technique is used to detect the facial occlusion automatically. After detecting the occluded areas, a method for image reconstruction called aPCA (asymmetrical Principal Component Analysis) is used to reconstruct the faces. The entire face is reconstructed using the non occluded area of the face. A database of images of different persons is organized which is used in the process of reconstruction of the occluded images. Experiments were performed to examine the effect of the granularity of the occlusion on the aPCA reconstruction process. The input mask image is divided into different parts, the occlusion for each part is marked and aPCA is applied to reconstruct the faces. This process of image reconstruction takes a lot of processing time so pre-defined eigenspaces are introduced that takes very less processing time with very less quality loss of the reconstructed faces.

Place, publisher, year, edition, pages
, UMNAD, 929
National Category
Engineering and Technology
URN: urn:nbn:se:umu:diva-61835OAI: diva2:572230
Educational program
Master's Programme in Computing Science
Available from: 2012-11-27 Created: 2012-11-27 Last updated: 2012-11-27Bibliographically approved

Open Access in DiVA

fulltext(5347 kB)171 downloads
File information
File name FULLTEXT01.pdfFile size 5347 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Computing Science
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 171 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 149 hits
ReferencesLink to record
Permanent link

Direct link