Please use this identifier to cite or link to this item: https://doi.org/10.1109/AIPR.2011.6176376
Title: Handling pose variation in face recognition using SIFT
Authors: Bhattacharya, B. 
Zhu, M.
Keywords: Face recognition
pose
SIFT
Issue Date: 2011
Citation: Bhattacharya, B.,Zhu, M. (2011). Handling pose variation in face recognition using SIFT. Proceedings - Applied Imagery Pattern Recognition Workshop : -. ScholarBank@NUS Repository. https://doi.org/10.1109/AIPR.2011.6176376
Abstract: This 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.
Source Title: Proceedings - Applied Imagery Pattern Recognition Workshop
URI: http://scholarbank.nus.edu.sg/handle/10635/115433
ISBN: 9781467302159
ISSN: 15505219
DOI: 10.1109/AIPR.2011.6176376
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