onr:"swepub:oai:DiVA.org:hh-14896"
Search: onr:"swepub:oai:DiVA.org:hh-14896" > Face authentication...
- 1 of 1
- Previous record
- Next record
- To hitlist
Face authentication with Gabor information on deformable graphs
-
- Duc, Benoıt (author)
- Motorola, Inc., Geneva, Switzerland
-
- Fischer, Stefan (author)
- FASTCOM Technology, S.A., Lausanne
-
- Bigun, Josef (author)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
- Motorola, Inc, Geneva, Switzerland FASTCOM Technology, S.A., Lausanne (creator_code:org_t)
- New York, NY : IEEE Press, 1999
- 1999
- English.
- In: IEEE Transactions on Image Processing. - New York, NY : IEEE Press. - 1057-7149 .- 1941-0042. ; 8:4, s. 504-516
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Elastic graph matching has been proposed as a practical implementation of dynamic link matching, which is a neural network with dynamically evolving links between a reference model and an input image. Each node of the graph contains features that characterize the neighborhood of its location in the image. The elastic graph matching usually consists of two consecutive steps, namely a matching with a rigid grid, followed by a deformation of the grid, which is actually the elastic part. The deformation step is introduced in order to allow for some deformation, rotation, and scaling of the object to be matched. This method is applied here to the authentication of human faces where candidates claim an identity that is to be checked. The matching error as originally suggested is not powerful enough to provide satisfying results in this case. We introduce an automatic weighting of the nodes according to their significance. We also explore the significance of the elastic deformation for an application of face-based person authentication. We compare performance results obtained with and without the second matching step. Results show that the deformation step slightly increases the performance, but has lower influence than the weighting of the nodes. The best results are obtained with the combination of both aspects. The results provided by the proposed method compare favorably with two methods that require a prior geometric face normalization, namely the synergetic and eigenface approaches
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- face recognition
- person authentication
- face verification
- local discriminants
- computer vision
- matching
- Gabor filter
- local orientation
- Information technology
- Informationsteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- IEEE Transactions on Image Processing (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Duc, Benoıt
- Fischer, Stefan
- Bigun, Josef
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- Articles in the publication
- IEEE Transaction ...
- By the university
- Halmstad University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
