Please use this identifier to cite or link to this item: https://doi.org/10.1109/AIPR.2011.6176376
DC FieldValue
dc.titleHandling pose variation in face recognition using SIFT
dc.contributor.authorBhattacharya, B.
dc.contributor.authorZhu, M.
dc.date.accessioned2014-12-12T07:15:33Z
dc.date.available2014-12-12T07:15:33Z
dc.date.issued2011
dc.identifier.citationBhattacharya, B.,Zhu, M. (2011). Handling pose variation in face recognition using SIFT. Proceedings - Applied Imagery Pattern Recognition Workshop : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/AIPR.2011.6176376" target="_blank">https://doi.org/10.1109/AIPR.2011.6176376</a>
dc.identifier.isbn9781467302159
dc.identifier.issn15505219
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115433
dc.description.abstractThis project deals with overcoming the limitations of the SIFT matching algorithm. We propose a novel way of taking the strengths of the SIFT algorithm and removing the underlying weaknesses to improve SIFT matching in pose variation. This is done by increasing the size of the search database to a certain degree of acceptance. In our bid to improve SIFT matching we have come up with an algorithm to find the pose of an image(albeit with some degree of error). We have stress tested our algorithm against many images and get reliably good results for both horizontal and vertical variation in pose. © 2011 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/AIPR.2011.6176376
dc.sourceScopus
dc.subjectFace recognition
dc.subjectpose
dc.subjectSIFT
dc.typeConference Paper
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1109/AIPR.2011.6176376
dc.description.sourcetitleProceedings - Applied Imagery Pattern Recognition Workshop
dc.description.page-
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on May 18, 2022

Page view(s)

124
checked on May 12, 2022

Google ScholarTM

Check

Altmetric


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