Abstract
Landmarking can be seen as calculating the maximum a posteriori probability of a certain set of landmarks given a certain image (texture) which contains a face. The MLLL plus BILBO algorithm by Beumer et al [1] is one method.
An improvement to this existing landmarking algorithm, MLLL in combination with BILBO, is presented. MLLL uses a likelihood ratio based similarity score to mark candidate landmark locations. BILBO uses a statistical method on the
shape to correct outliers. A theoretical analysis of this intuitive approach shows new insight.
In order to verify this theory we performed a simple experiment. The results show that using the new method performs significantly better than when only using the similarity score method (MLLL) in combination with outlier removal (BILBO).
Original language | Undefined |
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Title of host publication | Proceedings of the 28th Symposium on Information Theory in the Benelux |
Editors | Raymond N.J. Veldhuis, R.N.J. Veldhuis, H.S. Cronie |
Place of Publication | Eindhoven |
Publisher | Werkgemeenschap voor Informatie- en Communicatietheorie (WIC) |
Pages | 183-188 |
Number of pages | 6 |
ISBN (Print) | 978-90-365-2509-1 |
Publication status | Published - 24 May 2007 |
Event | 28th Symposium on Information Theory in the Benelux 2007 - Best Western Dish Hotel, Enschede, Netherlands Duration: 24 May 2007 → 25 May 2007 Conference number: 28 |
Publication series
Name | |
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Publisher | Werkgemeenschap voor Informatie- en Communicatietheorie |
Number | LNCS4549 |
Conference
Conference | 28th Symposium on Information Theory in the Benelux 2007 |
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Country | Netherlands |
City | Enschede |
Period | 24/05/07 → 25/05/07 |
Keywords
- EWI-10854
- IR-64278
- METIS-241831
- SCS-Safety