Mapping landmarks on to the face

G. M. Beumer; R. N.J. Veldhuis; B. J. Boom

doi:10.5220/0001431100120017

Mapping landmarks on to the face

G. M. Beumer, R. N.J. Veldhuis, B. J. Boom

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Landmarking can be formalised as calculating the Maximum A-posteriori Probability (MAP) of a set of land-marks given an image (texture) containing a face. In this paper a likelihood-ratio based landmarking method is extended to a MAP-based landmarking method. The approach is validated by means of experiments. The MAP approach turns out to be advantageous, particularly for low quality images, in which case the landmarking accuracy improves significantly.

Original language	English
Title of host publication	BIOSIGNALS 2009
Subtitle of host publication	Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing
Pages	12-17
Number of pages	6
DOIs	https://doi.org/10.5220/0001431100120017
Publication status	Published - 21 Jul 2009
Event	International Conference on Bio-Inspired Systems and Signal Processing 2009 - Porto, Portugal Duration: 14 Jan 2009 → 17 Jan 2009 http://www.biosignals.biostec.org/Biosignals2009/

Conference

Conference	International Conference on Bio-Inspired Systems and Signal Processing 2009
Abbreviated title	BIOSIGNALS 2009
Country/Territory	Portugal
City	Porto
Period	14/01/09 → 17/01/09
Internet address	http://www.biosignals.biostec.org/Biosignals2009/

Keywords

Biometrics
Face recognition
Landmarking

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10.5220/0001431100120017

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title = "Mapping landmarks on to the face",

abstract = "Landmarking can be formalised as calculating the Maximum A-posteriori Probability (MAP) of a set of land-marks given an image (texture) containing a face. In this paper a likelihood-ratio based landmarking method is extended to a MAP-based landmarking method. The approach is validated by means of experiments. The MAP approach turns out to be advantageous, particularly for low quality images, in which case the landmarking accuracy improves significantly.",

keywords = "Biometrics, Face recognition, Landmarking",

author = "Beumer, {G. M.} and Veldhuis, {R. N.J.} and Boom, {B. J.}",

year = "2009",

month = jul,

day = "21",

doi = "10.5220/0001431100120017",

language = "English",

isbn = "9789898111654",

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note = "International Conference on Bio-Inspired Systems and Signal Processing 2009, BIOSIGNALS 2009 ; Conference date: 14-01-2009 Through 17-01-2009",

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T1 - Mapping landmarks on to the face

AU - Beumer, G. M.

AU - Veldhuis, R. N.J.

AU - Boom, B. J.

PY - 2009/7/21

Y1 - 2009/7/21

N2 - Landmarking can be formalised as calculating the Maximum A-posteriori Probability (MAP) of a set of land-marks given an image (texture) containing a face. In this paper a likelihood-ratio based landmarking method is extended to a MAP-based landmarking method. The approach is validated by means of experiments. The MAP approach turns out to be advantageous, particularly for low quality images, in which case the landmarking accuracy improves significantly.

AB - Landmarking can be formalised as calculating the Maximum A-posteriori Probability (MAP) of a set of land-marks given an image (texture) containing a face. In this paper a likelihood-ratio based landmarking method is extended to a MAP-based landmarking method. The approach is validated by means of experiments. The MAP approach turns out to be advantageous, particularly for low quality images, in which case the landmarking accuracy improves significantly.

KW - Biometrics

KW - Face recognition

KW - Landmarking

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U2 - 10.5220/0001431100120017

DO - 10.5220/0001431100120017

M3 - Conference contribution

AN - SCOPUS:67650547216

SN - 9789898111654

SP - 12

EP - 17

BT - BIOSIGNALS 2009

T2 - International Conference on Bio-Inspired Systems and Signal Processing 2009

Y2 - 14 January 2009 through 17 January 2009

ER -

Mapping landmarks on to the face

Abstract

Conference

Keywords

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