Spherical Object Reconstruction Using Star-Shaped Simplex
Meshes

D 2001

Spherical Object Reconstruction Using Star-Shaped Simplex Meshes

MATULA, Pavel a David SVOBODA

Základní údaje

Originální název

Spherical Object Reconstruction Using Star-Shaped Simplex Meshes

Autoři

MATULA, Pavel (203 Česká republika, garant) a David SVOBODA (203 Česká republika)

Vydání

Berlin, Heidelberg, New York, Energy Minimization Methods in Computer Vision and Pattern Recognition, s. 608-620, 2001

Nakladatel

Springer-Verlag

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/00216224:14330/01:00004584

Organizační jednotka

Fakulta informatiky

ISBN

3-540-42523-3

UT WoS

000180456900040

Klíčová slova anglicky

Simplex meshes; object reconstruction; cell nuclei segmentation

Štítky

Cell nuclei segmentation, object reconstruction, simplex meshes

Změněno: 22. 1. 2008 08:01, doc. RNDr. David Svoboda, Ph.D.

Anotace

V originále

Spherical object reconstruction is of great importance, especially in the field of cell biology, since cells as well as cell nuclei mostly have the shape of a deformed sphere. Fast, reliable and precise procedure is needed for automatic measuring of topographical parameters of the large number of cells or cell nuclei. This paper presents a new method for spherical object reconstruction. The method springs from Delingette general object reconstruction algorithm which is based on the deformation of simplex meshes. However, the unknown surface is searched only within the subclass of simplex meshes, which have the shape of a star. Star-shaped simplex meshes are suitable for modelling of spherical or ellipsoidal objects. In our approach, the law of motion was altered so that it preserves the star-shape during deformation. The proposed method is easier than the general method and therefore faster. In addition, it uses more computationally stable expressions than a method, strictly implemented according to Delingette's paper. It is also shown how to partly avoid the occasional instability of the Delingette method. The accuracy of both methods is comparable. The star-shaped method achieves a stable state more often.

Návaznosti

IBS5004010, projekt VaV

Název: Vývoj nových diagnostických technik pro onkologii

Investor: Akademie věd ČR, Vývoj nových diagnostických technik pro onkologii

MSM 143300002, záměr

Název: Využití počítačové analýzy obrazu v optické mikroskopii

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Využití počítačové analýzy obrazu v optické mikroskopii

Citovat

MATULA, Pavel a David SVOBODA. Spherical Object Reconstruction Using Star-Shaped Simplex Meshes. In Energy Minimization Methods in Computer Vision and Pattern Recognition. Berlin, Heidelberg, New York: Springer-Verlag, 2001, s. 608-620. ISBN 3-540-42523-3.

@inproceedings{372994,
   author = {Matula, Pavel and Svoboda, David},
   address = {Berlin, Heidelberg, New York},
   booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
   keywords = {Simplex meshes; object reconstruction; cell nuclei segmentation},
   language = {eng},
   location = {Berlin, Heidelberg, New York},
   isbn = {3-540-42523-3},
   note = {LNCS 2134},
   pages = {608-620},
   publisher = {Springer-Verlag},
   title = {Spherical Object Reconstruction Using Star-Shaped Simplex Meshes},
   url = {http://dx.doi.org/10.1007/3-540-44745-8_40},
   year = {2001}
}

TY  - CONF
ID  - 372994
AU  - Matula, Pavel - Svoboda, David
PY  - 2001
TI  - Spherical Object Reconstruction Using Star-Shaped Simplex Meshes
PB  - Springer-Verlag
CY  - Berlin, Heidelberg, New York
SN  - 3540425233
N1  - LNCS 2134
KW  - Simplex meshes
KW  - object reconstruction
KW  - cell nuclei segmentation
UR  - http://dx.doi.org/10.1007/3-540-44745-8_40
N2  - Spherical object reconstruction is of great importance, especially in the field of cell biology, since cells as well as cell nuclei mostly have the shape of a deformed sphere. Fast, reliable and precise procedure is needed for automatic measuring of topographical parameters of the large number of cells or cell nuclei. This paper presents a new method for spherical object reconstruction. The method springs from Delingette general object reconstruction algorithm which is based on the deformation of simplex meshes. However, the unknown surface is searched only within the subclass of simplex meshes, which have the shape of a star. Star-shaped simplex meshes are suitable for modelling of spherical or ellipsoidal objects. In our approach, the law of motion was altered so that it preserves the star-shape during deformation. The proposed method is easier than the general method and therefore faster. In addition, it uses more computationally stable expressions than a method, strictly implemented according to Delingette's paper. It is also shown how to partly avoid the occasional instability of the Delingette method. The accuracy of both methods is comparable. The star-shaped method achieves a stable state more often.
ER  -

MATULA, Pavel a David SVOBODA. Spherical Object Reconstruction Using Star-Shaped Simplex Meshes. In \textit{Energy Minimization Methods in Computer Vision and Pattern Recognition}. Berlin, Heidelberg, New York: Springer-Verlag, 2001, s.~608-620. ISBN~3-540-42523-3.

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