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@article{matthews:aamr,
address = {Hingham, MA, USA},
author = {Iain Matthews and Simon Baker},
citeulike-article-id = {1848202},
doi = {10.1023/B:VISI.0000029666.37597.d3},
issn = {0920-5691},
journal = {IJCV},
keywords = {2d, aam},
month = {November},
number = {2},
pages = {135--164},
priority = {2},
publisher = {Kluwer Academic Publishers},
title = {{A}ctive {A}ppearance {M}odels {R}evisited},
url = {http://dx.doi.org/10.1023/B:VISI.0000029666.37597.d3},
volume = {60},
year = {2004}
}
@article{hager98:project_out,
author = {Hager, G. D. and Belhumeur, P. N. },
booktitle = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
citeulike-article-id = {1865605},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
keywords = {aam, project_out_trick, tracking},
number = {10},
pages = {1025--1039},
priority = {5},
title = {Efficient region tracking with parametric models of geometry and illumination},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=722606},
volume = {20},
year = {1998}
}
@inproceedings{sami:icia,
address = {Washington, DC, USA},
author = {Romdhani, Sami and Vetter, Thomas },
booktitle = {ICCV '03},
citeulike-article-id = {1869162},
isbn = {0769519504},
keywords = {aam, inverse_compositional, morphable_model},
priority = {5},
publisher = {IEEE Computer Society},
title = {Efficient, {R}obust and {A}ccurate {F}itting of a {3D} {M}orphable {M}odel},
url = {http://portal.acm.org/citation.cfm?id=946247.946642},
year = {2003}
}
@techreport{sami:selective_recovery,
author = {Romdhani, Sami and Canterakis, Nikolaos and Vetter, Thomas },
booktitle = {Technical Report Nr 3},
citeulike-article-id = {1896147},
institution = {University of Basel},
keywords = {morphable_model, weak_perspective},
month = {July},
organization = {Computer Science Dept},
priority = {5},
title = {Selective vs. Global Recovery of Rigid and Non-Rigid Motion},
year = {2003}
}
@inproceedings{baker01:equivalence,
abstract = {There are two major formulations of image alignment using gradient descent. The first estimates an additive increment to the parameters (the additive approach), the second an incremental warp (the compositional approach). We first prove that these two formulations are equivalent. A very efficient algorithm was proposed by Hager and Belhumeur (1998) using the additive approach that unfortunately can only be applied to a very restricted class of warps. We show that using the compositional approach an equally efficient algorithm (the inverse compositional algorithm) can be derived that can be applied to any set of warps which form a group. While most warps used in computer vision form groups, there are a certain warps that do not. Perhaps most notable is the set of piecewise affine warps used in flexible appearance models (FAMs). We end this paper by extending the inverse compositional algorithm to apply to FAMs.},
author = {Baker, S. and Matthews, I. },
booktitle = {CVPR '01},
citeulike-article-id = {1967072},
journal = {CVPR '01},
keywords = {aam, icia},
pages = {I-1090--I-1097 vol.1},
priority = {5},
title = {Equivalence and {E}fficiency of {I}mage {A}lignment {A}lgorithms},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=990652},
volume = {1},
year = {2001}
}
@article{cootes01:aam,
author = {Cootes, T. F. and Edwards, G. J. and Taylor, C. J. },
journal = {PAMI},
keywords = {aam, model},
number = {6},
pages = {681--685},
title = {{A}ctive {A}ppearance {M}odels},
volume = {23},
year = {2001}
}
@article{cootes:tps,
abstract = {Face images are difficult to interpret because they are highly variable. Sources of variability include individual appearance, 3D pose, facial expression, and lighting. We describe a compact parametrized model of facial appearance which takes into account all these sources of variability. The model represents both shape and gray-level appearance, and is created by performing a statistical analysis over a training set of face images. A robust multiresolution search algorithm is used to fit the model to faces in new images. This allows the main facial features to be located, and a set of shape, and gray-level appearance parameters to be recovered. A good approximation to a given face can be reconstructed using less than 100 of these parameters. This representation can be used for tasks such as image coding, person identification, 3D pose recovery, gender recognition, and expression recognition. Experimental results are presented for a database of 690 face images obtained under widely varying conditions of 3D pose, lighting, and facial expression. The system performs well on all the tasks listed above},
author = {Lanitis, A. and Taylor, C. J. and Cootes, T. F. },
citeulike-article-id = {827645},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
keywords = {3d, face},
number = {7},
pages = {743--756},
priority = {5},
title = {Automatic interpretation and coding of face images using flexible models},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=598231},
volume = {19},
year = {1997}
}
@techreport{baker01:icia_tr,
address = {Pittsburgh, PA},
author = {Simon},
citeulike-article-id = {2390678},
institution = {Robotics Institute, Carnegie Mellon University},
keywords = {aam, icia},
month = {February},
number = {CMU-RI-TR-01-03},
priority = {0},
title = {Aligning Images Incrementally Backwards},
url = {http://www.ri.cmu.edu/pubs/pub\_3491.html},
year = {2001}
}
@misc{minka:matrix,
abstract = {This paper contains a large number of matrix identities which cannot be absorbed by mere reading. The reader is encouraged to take time and check each equation by hand and work out the examples. This is advanced material; see Searle (1982) for basic results. 1 Derivatives},
author = {Minka, T. },
citeulike-article-id = {899368},
keywords = {linear\_algebra},
priority = {0},
title = {Old and new matrix algebra useful for statistics},
url = {http://citeseer.ist.psu.edu/minka97old.html},
year = {1997}
}
@article{matthews:kanade20,
author = {Simon Baker and Iain Matthews},
citeulike-article-id = {1238610},
doi = {10.1023/B:VISI.0000011205.11775.fd},
journal = {IJCV},
longjournal = {International Journal of Computer Vision},
month = {February},
number = {3},
pages = {221--255},
priority = {5},
title = {{L}ucas-{K}anade 20 {Y}ears {O}n: {A} {U}nifying {F}ramework},
theurl = {http://portal.acm.org/citation.cfm?id=964568.964604},
volume = {56},
year = {2004}
}
@inproceedings{wu:boosted_ranking,
abstract = {Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is aligned by maximizing a score function, which we learn from training data, and that we impose to be concave. We show that this problem can be reduced to learning a classifier that is able to say whether or not by switching from one alignment to a new one, the model is approaching the correct fitting. This relates to the ranking problem where a number of instances need to be ordered. For training the model, we propose to extend GentleBoost [23] to rank-learning. Extensive experimentation shows the superiority of this approach to other learning paradigms, and demonstrates that this model exceeds the alignment performance of the state-of-the-art.},
author = {Wu, Hao and Liu, Xiaoming and Doretto, Gianfranco },
booktitle = {CVPR '08},
citeulike-article-id = {3132874},
doi = {10.1109/CVPR.2008.4587753},
journal = {CVPR '08},
keywords = {aam, descriptors},
pages = {1--8},
posted-at = {2008-08-18 15:05:08},
priority = {0},
title = {Face {A}lignment via {B}oosted {R}anking {M}odel},
url = {http://dx.doi.org/10.1109/CVPR.2008.4587753},
year = {2008}
}
@inproceedings{Saragih07:aam,
abstract = {The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter update model in an iterative framework. Despite its popularity, the scope of this approach is severely restricted, both in fitting accuracy and capture range, due to the simplicity of the linear update models used. In this paper, we present an new AAM fitting formulation, which utilizes a nonlinear update model. To motivate our approach, we compare its performance against two popular fitting methods on two publicly available face databases, in which this formulation boasts significant performance improvements.},
author = {Saragih, J. and Goecke, R. },
booktitle = {ICCV '07},
citeulike-article-id = {3132996},
doi = {10.1109/ICCV.2007.4409106},
journal = {ICCV 2007},
keywords = {aam},
pages = {1--8},
posted-at = {2008-08-18 16:15:13},
priority = {0},
title = {A {N}onlinear {D}iscriminative {A}pproach to {AAM} {F}itting},
url = {http://dx.doi.org/10.1109/ICCV.2007.4409106},
year = {2007}
}
@inproceedings{Liu07:aam,
author = {Liu, Xiaoming},
booktitle = {CVPR '07},
journal = {CVPR '07},
pages = {1--8},
title = {{G}eneric {F}ace {A}lignment using {B}oosted {A}ppearance {M}odel},
url = {http://dx.doi.org/10.1109/CVPR.2007.383265},
year = {2007}
}
% address = {New York, NY, USA},
@inproceedings{blanz:model,
author = {Blanz, Volker and Vetter, Thomas },
booktitle = {SIGGRAPH '99},
citeulike-article-id = {423122},
doi = {10.1145/311535.311556},
isbn = {0201485605},
keywords = {morphable_model},
pages = {187--194},
priority = {0},
publisher = {ACM Press},
title = {A {M}orphable {M}odel for the {S}ynthesis of {3D} {F}aces},
url = {http://portal.acm.org/citation.cfm?id=311556},
year = {1999}
}
@article{vemuri98:motion,
author = {Vemuri, B. C. and Huang, S. and Sahni, S. and Leonard, C. M. and Mohr, C. and Gilmore, R. and Fitzsimmons, J. },
citeulike-article-id = {3484827},
doi = {http://dx.doi.org/10.1016/S1361-8415(98)80004-2},
issn = {1361-8415},
journal = {Medical Image Analysis},
keywords = {icia},
month = {March},
pages = {79--98},
posted-at = {2008-11-06 15:07:17},
priority = {0},
publisher = {Elsevier},
title = {An efficient motion estimator with application to medical image registration},
url = {http://dx.doi.org/10.1016/S1361-8415(98)80004-2},
year = {1998}
}
@inproceedings{burkhardt86:motion,
author = {H. Burkhardt and N. Diehl},
title = {Simultaneous {E}stimation of {R}otation and {T}ranslation in {I}mage {S}equences},
booktitle = {Proc. of the European Signal Processing Conference, EUSIPCO-86},
address = {Den Haag},
year = {1986}
}
@phdthesis{diehl:diss,
author = {N. Diehl},
title = {Methoden zur allgemeinen {B}ewegungssch{\"a}tzung in {B}ildfolgen},
school = {TU Hamburg-Harburg},
year = {1988},
note = {Published as Fortschrittsbericht (Reihe 10, Nr. 92) VDI-Zeitschriften, VDI-Verlag}
}
@inproceedings{Nguyen_2008_6186,
author = "Minh Hoai Nguyen and Fernando de la Torre Frade",
title = "Learning Image Alignment without Local Minima for Face Detection and Tracking",
booktitle = "8th IEEE International Conference on Automatic Face and Gesture Recognition",
month = "September",
year = "2008"
}
@inproceedings{xm2vts,
MONTH = {March},
YEAR = {1999},
AUTHOR = {K. Messer and J. Matas and J. Kittler and J. Luettin and G. Maitre},
TITLE = {{XM2VTSDB}: {T}he {E}xtended {M2VTS} {D}atabase},
Booktitle = {2nd Int. Conf. on Audio and Video-based Biometric Person Authentication },
PAGES = {}
}
@TECHREPORT{imm,
author = "M. M. Nordstr{\o}m and M. Larsen and J. Sierakowski and M. B. Stegmann",
title = "The {IMM} Face Database - An Annotated Dataset of 240 Face Images",
year = "2004",
month = "may",
keywords = "annotated image dataset, face images, statistical models of shape",
number = "",
series = "",
institution = "{IMM}, {TU} {D}enmark {DTU}",
address = "",
type = "",
url = "http://www2.imm.dtu.dk/pubdb/p.php?3160",
abstract = "This note describes a dataset consisting of 240 annotated monocular images of 40 different human faces. Points of correspondence are placed on each image so the dataset can be readily used for building statistical models of shape. Format specifications and terms of use are also given in this note."
}
@article{wimmer07:learning,
author = {Matthias Wimmer and Freek Stulp and Sylvia Pietzsch and Bernd Radig},
title = {Learning Local Objective Functions for Robust Face Model Fitting},
journal = {PAMI},
year = {2008},
volume = {30},
number = {8},
issn = {0162-8828},
pages = {1357-1370},
bib2html_pubtype = {Journal},
bib2html_rescat = {Image Understanding},
bib2html_groups = {IU},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.70793},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
@misc{cootes:talkingface,
AUTHOR = "T. F. Cootes",
TITLE = "Talking Face Video",
MONTH = "October",
YEAR = {2008},
NOTE = {{\smaller[1]{\url{www-prima.inrialpes.fr/FGnet/data/01-TalkingFace/talking\_face.html}}}}
}