Entrées Bibliographiques .bib
@InProceedings{ lingrand-charnoz-etal:04,
author = {Lingrand, Diane and Charnoz, Arnaud and Koulibaly, Pierre Malick and Darcourt, Jacques and Montagnat Johan},
title = {Toward accurate segmentation of the LV myocardium and chamber for volumes estimation in gated SPECT sequences},
year = 2004,
month = mai,
volume = {LNCS 3024},
pages = {267-278},
booktitle = {8th ECCV},
editor = {T. Pajdla and J. Matas},
publisher = {Springer-Verlag}
}
@InBook{ lingrand-gaspard-etal:03,
author = {D. Lingrand and F. Gaspard and T. Vi{
'e}ville},
title = {D{\'e}placements sp{\'e}cifiques pour l'auto-{\'e}talonnage},
year = 2003,
book = {Trait{\'e} IC2 : Perception visuelle par imagerie vid{\'e}o.},
pages = 89--137,
editor = {Herm{\`e}s}
}
@InProceedings{ charnoz-lingrand-etal:03a,
author = {Charnoz, A. and Lingrand, D. and Montagnat, J.},
title = {Segmentation du coeur dans des sequences 3D TEMP par ensemble de niveaux},
booktitle = {Orasis'2003},
year = {Mai 2003},
pages = {52--61},
annote = {Les méthodes de segmentation par ensembles de niveaux ont été introduites en imagerie médicale par Malladi et al en 1995. Dans ce papier, nous nous intéressons à la segmentation du myocarde dans des séquences temporelles d'images TEMP (Tomographie à Émission Mono-Photonique). Nous présentons différentes améliorations de la méthode originale, accélérant la convergence de l'algorithme et améliorant la qualité de la segmentation finale.
Nous avons étudié différents critères d'évolution, prenant en compte la nature dynamique des séquences d'images du coeur. A chaque étape de l'algorithme de segmentation, nous avons comparé différentes solutions afin de réduire à la fois le temps de segmentation et d'augmenter la qualité du résultat.
Nous avons développé une plate-forme modulaire, incluant la visualisation 3D+T, afin d'expérimenter les solutions proposées et de régler les différents paramètres de l'algorithme. Nous montrons les résultats de segmentation sur des images simulées et sur des images réelles acquises par procédé TEMP.}}
@InProceedings{ charnoz-lingrand-etal:03b,
author = {Charnoz, A. and Lingrand, D. and Montagnat, J.},
title = {A levelset based method for segmenting the heart in 3D+T gated SPECT images},
booktitle = {FIMH 2003},
year = {June 2003},
pages = {52--61},
publisher = {Springer-Verlag},
series = {LNCS},
annote = {Levelset methods were introduced in medical images segmentation by Malladi et al in 1995. In this paper, we propose several improvements of the original method to speed up the algorithm convergence and to improve the quality of the segmentation in the case of cardiac gated SPECT images.
We studied several evolution criterions, taking into account the dynamic property of heart image sequences. For each step of the segmentation algorithm, we have compared different solutions in order to both reduce time and improve quality.
We have developed a modular segmentation tool with 3D+T visualization capabilities to experiment the proposed solutions and tune the algorithm parameters. We show segmentation results on both simulated and real SPECT images. }}
@Article{ lingrand:02,
author = {Lingrand, Diane},
title = {Minimal parameterization of fundamental matrices using motion and camera properties},
year = {2002},
journal = {Robotics and Autonomous Systems},
volume = {39},
pages = {169--179},
number = {3-4},
keywords = {fundamental matrices, specific displacements, self-calibration},
annote = {This paper addresses the optimal recovery of the displacement and projection parameters from uncalibrated monocular video sequences. We study the particular cases of camera and objects displacements and camera projection in order to extract an optimized parameterization of the problem of parameters recovery for each cases.
This work follows previous studies on particular cases of displacement, scene geometry and camera analysis and focuses on the particular forms of fundamental matrices. This paper introduces the idea of using not all particular cases as individual cases but grouping these cases into a tractable number of sets, using properties on fundamental matrices.
Some experiments were performed in order to demonstrate that if several models are correct, the model with the least parameters gives the best estimate, corresponding to the true case.}}
@Article{ lingrand:02b,
author = {Lingrand, Diane},
title = {Using singularities in order to improve robustness in motion estimation},
year = {2002},
journal = {Computer Vision and Image Understanding},
volume = {85},
pages = {159--188},
number = {3},
keywords = {specific displacements, motion estimation},
annote = {For decades, there has been an intensive research effort in the Computer Vision community to deal with video sequences. In this paper, we present a new method for recovering a maximum of information on displacement and projection parameters in monocular video sequences without calibration. This work follows previous studies on particular cases of displacement, scene geometry and camera analysis and focuses on the particular forms of homographic matrices.
It is already known that the number of particular cases involved in a complete study precludes an exhaustive test. To lower the algorithmic complexity, some authors propose to decompose all possible cases in a hierarchical tree data structure but these works are still in development [26].
In this paper, we propose a new way to deal with the huge number of particular cases: (i) we use simple rules in order to eliminate some redundant cases and some physically impossible cases, and (ii) we divide the cases into subsets corresponding to particular forms determined by simple rules leading to a computationally efficient discrimination method.
Finally, some experiments were performed on image sequences acquired either using a robotic system or manually in order to demonstrate that when several models are valid, the model with the fewer parameters gives the best estimation, regarding the free parameters of the problem. The experiments presented in this paper show that even if the selected case is an approximation of reality, the method
is still robust.}}
@InProceedings{ lingrand-montagnat-etal:01,
author = {Lingrand, Diane and Montagnat, Johan and
Collins, Louis and Gotman, Jean},
title = {Compensating Small Head Displacements for
an accurate fMRI Registration},
year = {2001},
month = jun,
pages = {10--16},
crossref = {scia:01}
annote = {Many medical image processing algorithms require
the comparison of multiple scans acquired from a
given subject. In the absence of an absolute
coordinate system, these different images have to be
aligned in a common space before being able to
identify similar anatomical landmarks. Several rigid
registration techniques have been proposed that
estimate the rigid transformation between two
anatomical volumes~\cite{Brown-CS92} but none of
them introduce geometric constraints on the possible
position of the human head inside a scanner.
We propose a new method to improve the accuracy of
rigid registration in the case of small
displacements by restricting the number of degrees
of freedom (dof) involved in the registration
process. It has been shown in a different context
that decreasing the number of dof improves the
numerical stability of the displacement recovery
algorithm \cite{vieville-lingrand:99,lingrand:00d}
by regularizing the minimized criterion and reducing
the number of local minima.
We developed a strategy adapted to the case of human
head displacement in a MRI scanner. This algorithm
has been successfully tested on 6 sets of fMRI
volumes acquired at the MNI on different patients.
Each set is composed of 30 to 78 volumes.}
}
@STRING{scia = "Scandinavian Conference on Image Analysis" }
@Proceedings{ scia:01,
year = {2001},
month = jun,
editor = {Ivar Austvoll},
address = {Bergen, Norway},
booktitle = proc # 10 # th # scia,
citekey = {scia:01}
}
@InProceedings{ lingrand:01b,
author = {Lingrand, Diane},
title = {Approximations of camera projection and related homographic relations},
year = {2001},
month = august,
editor = {R. Fisher (ed)},
booktitle = {CVonline: On-Line Compendium of Computer Vision, Vision Geometry and Mathematics},
url = {http://www.dai.ed.ac.uk/CVonline/geom.htm},
}
@Article{ vieville-lingrand-etal:01,
author = {T. Vieville and D. Lingrand and F. Gaspard},
title = {Implementing a variant of the Kanatani's
estimation method},
year = 2001,
journal = {Int. J. Comp. Vision},
volume = {44},
pages = {41--64},
number = {1}
}
@InProceedings{ lingrand:00,
author = {Lingrand, Diane},
title = {Etude des singularit{\'e}s des
homographies dans des s{\'e}quences
monoculaires non calibr{\'e}es.},
year = 2000,
month = feb,
volume = 3,
pages = {99--108},
crossref = {rfia:00},
keywords = {Cas particuliers, homographies,
projection perspective, projection
para-perspective, projection
orthographique.},
annote = {Nous nous int{\'e}ressons dans cet
article aux formes particuli{\`e}res de
matrices d'homographies afin d'obtenir des
mod{\`e}les comportant un nombre minimal
de param{\`e}tres. Apr{\`e}s avoir
d{\'e}termin{\'e} tous les cas
particuliers de mouvement et de cam{\'e}ra
induisant des homographies, nous
d{\'e}montrons exp{\'e}rimentalement
qu'entre plusieurs mod{\`e}les valides,
c'est celui comportant le moins de
param{\`e}tres qui fournit en pratique la
meilleure estim{\'e}e des param{\`e}tres
homographiques.}
}
@InProceedings{ lingrand:00b,
author = {Lingrand, Diane},
title = {Particular Forms of Homography Matrices},
year = 2000,
month = September,
volume = 2,
pages = {596-605},
booktitle = {BMVC 2000},
keywords = {},
annote ={This paper deals with monocular video sequences without calibration
to recover a maximum of information on displacement and projection
parameters. In this paper, we propose a new way to deal with the
huge number of particular cases of homographic relations and
validate this approach with some experiments showing that if several
models are correct, the model with less parameters gives the best
estimation. The experiments presented in this paper show also that
even if the motion is approximate, the method is still robust.},
}
@InProceedings{ lingrand:00c,
author = {Lingrand, Diane},
title = {Using Particular Forms of Fundamental Matrices},
year = 2000,
month = {July},
volume = {1},
pages = {209--215},
booktitle = {SIRS 2000},
keywords = {},
annote = {This paper addresses the optimal recovery of the displacement and
projection parameters from uncalibrated monocular video sequences.
This work follows previous studies on particular cases of
displacement, scene geometry and camera analysis and focuses on the
particular forms of fundamental matrices.
Some experiments were performed in order to demonstrate that if several
models are correct, the model with the least parameters gives the best
estimate, corresponding to the true case.},
}
@PhDThesis{ lingrand:99,
author = {Lingrand, Diane},
title = {Analyse Adaptative du Mouvement dans des S\'equences Monoculaires non Calibr\'ees},
year = {1999},
address = {INRIA, Sophia, France},
school = {Universit\'e de Sophia-Antipolis}
}
@TechReport{ lingrand-charnoz-etal:03,
author = {Lingrand, Diane and Charnoz, Arnaud and Koulibaly, Pierre Malick and Darcourt, Jacques and Montagnat, Johan},
year = {2003},
month = dec,
institution = {I3S, UNSA/CNRS},
number = {2003-34}
}
@TechReport{ lingrand:99b,
author = {Lingrand, Diane},
title = {Approximations de la projection perspective:
mod{\`e}le combin{\'e} et {\'e}tude des
singularit{\'e}s homographiques.},
year = {1999},
month = apr,
institution = {INRIA Sophia Antipolis},
number = {RR-3682},
keywords = {projection perspective, projection
para-perspective, projection orthographique,
projection ortho-perspective, homographie},
annote = {Les approximations de la projection perspective
{\'e}tudi{\'e}es dans ce rapport, projections
para-perspective, ortho-perspective et
orthographique, peuvent {\^e}tre consid{\'e}r{\'e}es
{\`a} la fois comme des approximations
g{\'e}om{\'e}triques et des approximations
num{\'e}riques (d{\'e}veloppement limit{\'e} d'ordre
pr{\'e}cis{\'e}). Nous avons examin{\'e}s les
simplifications apport{\'e}es par ces projections,
notamment pour l'{\'e}tude de la disparit{\'e}
vectorielle. Ces mod{\`e}les s'appliquent dans le
cadre de la focalisation d'attention dans la mesure
o{\`u} ils rendent compte d'une zone locale ou
fov{\'e}ale de l'image observ{\'e}e et permettent
une analyse num{\'e}riquement robuste de la
structure et du mouvement de la sc{\`e}ne m{\^e}me
avec un faible nombre de donn{\'e}es. Apr{\`e}s
avoir d{\'e}riv{\'e} la matrice fondamentale dans
tous ces cas, on s'est plus particuli{\`e}rement
int{\'e}ress{\'e} aux cas de mouvement et de
stucture de la sc{\`e}ne pour lesquels on obtient
une relation homographique entre les points images
et on a mis en {\'e}vidence les propri{\'e}t{\'e}s
g{\'e}om{\'e}trique et de mouvement correspondant
aux cas de la projection para-perspective et orthographique.}
@Article{ vieville-lingrand:99,
author = {Vi{\'e}ville, Thierry and Lingrand, Diane},
title = {Using Specific Displacements to analyze Motion
without Calibration},
year = {1999},
journal = {Int. J. Comp. Vision},
volume = {31},
pages = {5--29},
number = {1},
keywords = {structure and motion, specific displacements,
self-calibration}
@TechReport{ faugeras-clement-etal:99,
author = {O. Faugeras and F. Cl\'ement and R. Deriche and R.
Keriven and T. Papadopoulo and J. Roberts and T.
Vi\'eville and F. Devernay and J. Gomes and G.
Hermosillo and P. Kornprobst and D. Lingrand},
title = {The inverse EEG and MEG problems: The adjoint space
approach I: The continuous case},
year = 1999,
month = may,
url = {http://www.inria.fr/RRRT/RR-3673.html},
institution = {INRIA},
number = 3673,
keywords = {MEG, EEG, inverse problems, Adjoint state method}
}
@InProceedings{ lingrand-vieville:97,
author = {Lingrand, Diane and Vi{\'e}ville, Thierry},
title = {Singularit{\'e}s au service du mouvement et de la
calibration.},
year = 1997,
month = oct,
pages = {17--26},
editor = {INRIA},
booktitle = {Journ{\'e}es ORASIS'97},
url = {http://www.inria.fr/robotvis/personnel/dlingran/Arges/Orasis97/orasis97.html}
,
keywords = {s{\'e}quences monoculaires, mouvements singuliers,
auto-calibration},
annote = {Cet article s'ins{\`e}re dans un travail relatif
aux singularit{\'e}s des sc{\`e}nes, des mod{\`e}les
de cam{\'e}ra et des mouvements au sein de
s{\'e}quences monoculaires non calibr{\'e}es, dans
le but d'obtenir le plus d'informations possible sur
l'auto-calibration, le mouvement et la sc{\`e}ne
(objets g{\'e}om{\'e}triques, relations, structure
3D). Cette {\'e}tude est un prolongement de
\cite{vieville-lingrand:96} comprenant plus de cas
gr{\^a}ce {\`a} l'introduction de code
g{\'e}n{\'e}r{\'e} automatiquement et pr{\'e}voyant
dans un futur proche, l'introduction de toute contrainte.}
}
@InProceedings{ vieville-lingrand:96,
author = {Vi{\'e}ville, Thierry and Lingrand, Diane},
title = {Using Singular Displacements for Uncalibrated
Monocular Visual Systems},
year = 1996,
month = apr,
volume = 2,
pages = {207--216},
booktitle = {4th ECCV},
keywords = {Structure and Motion, Singular Displacements,
Self-Calibration.},
annote = {In the present paper, we review and complete the
equations and the formalism which allow to achieve a
minimal parameterization of the retinal displacement
for a monocular visual system without calibration.
Considering the emergence of active visual systems
for which we {\bf can not} consider that the
calibration parameters are either known or fixed, we
develop an alternative strategy using the fact that
certain class of special displacements induces
enough equations to evaluate the calibration
parameters, so that we can recover the affine or
Euclidean structure of the scene when needed.
A synthesis of what can be recovered for singular
displacements in terms of camera calibration, scene
geometry and kinematics is proposed. We give, for
the different levels of calibration, an exhaustive
list of the geometric and kinematic information
which can be recovered. Following a strategy based
on special kind of displacements, such as fixed axis
rotations or pure translations for instance, we
describe how to detect this particular classes of
displacement. }
}
@InProceedings{ lingrand-vieville:96b,
author = {Lingrand, Diane and Vi{\'e}ville, Thierry},
title = {Perception tridimensionnelle dynamique au niveau de
la fov{\'e}a. Utilisation de mod{\`e}les affines.},
year = {1996},
month = may,
volume = {1},
pages = {181--186},
booktitle = {Journ{\'e}es ORASIS'96},
keywords = {vision active, orthographique, affine,
non-calibr{\'e}}
}
@InProceedings{ lingrand-vieville:96c,
author = {Lingrand, Diane and Vi{\'e}ville, Thierry},
title = {Dynamic Foveal 3{D} Sensing Using Affine Models},
year = {1996},
month = aug,
volume = {1},
pages = {810--814},
crossref = {icpr:96},
annote = {This study is aimed at developing a method for
analysing 3D structure of a scene considering a
monocular image sequence, with an uncalibrated
camera -as for an active visual system- and using a
continuous model of motion, considering that the
scene is static.}
}
@TechReport{ lingrand-vieville:95,
author = {Lingrand, Diane and Vi{\'e}ville, Thierry},
title = {Dynamic Foveal 3{D} Sensing Using Affine Models},
year = {1995},
month = oct,
institution = {INRIA Sophia-Antipolis},
number = {RR-2687},
keywords = {Structure and Motion, Active Vision, Affine
Models},
annote = { This study is aimed at developing a method of
analysis of the 3D structure of a scene considering
a monocular image sequence, with an uncalibrated
camera -as for an active visual system- and using a
continuous model of motion.}
}
@TechReport{ vieville-lingrand:95,
author = {Vi{\'e}ville, Thierry and Lingrand, Diane},
title = {Using Singular Displacements for Uncalibrated
Monocular Visual Systems},
year = {1995},
month = oct,
institution = {INRIA Sophia-Antipolis},
number = {RR-2678},
keywords = {Structure and Motion, Singular Displacements,
Self-Calibration},
annote = { In the present paper, we review and complete the
equations and the formalism which allow to achieve a
minimal parameterization of the retinal displacement
for a monocular visual system without calibration.
}
}
Diane Lingrand