Reconstruction of occluded facial images using asymmetrical principal component analysis
2011 (English)In: 2011 18th International Conference on Systems, Signals and Image Processing (IWSSIP), IEEE , 2011, 276-279 p.Conference paper (Refereed)
When face images are occluded it becomes difficult or impossible to make a correct recognition based on only the non-occluded parts. With asymmetrical Principal Component Analysis (aPCA) it is possible to estimate occluded regions based on the content of the non-occluded pixels. Entire faces can be reconstructed from images where some parts are occluded with the occluded region being estimated based on the relation to the non-occluded region. We show the result with 3 different occlusion cases and compare two reconstruction methods. The results are measured both objectively and subjectively and it is shown that a clear and sharp image part should be used even if the resulting image have edges in it.
Place, publisher, year, edition, pages
IEEE , 2011. 276-279 p.
IdentifiersURN: urn:nbn:se:umu:diva-46986ISBN: 978-9958-9966-1-0OAI: oai:DiVA.org:umu-46986DiVA: diva2:441740
18th International Conference on Systems, Signals and Image Processing (IWSSIP), 16-18 June 2011