3D object reconstruction from parallel cross-sections

Karolina Nurzỳnska

doi:10.1007/978-3-642-02345-3_12

3D object reconstruction from parallel cross-sections

Karolina Nurzỳnska

Katedra Algorytmiki i Oprogramowania (RAU/RAU5)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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Abstrakt

The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.

Język oryginału	angielski
Tytuł publikacji goszczącej	Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers
Strony	111-122
Liczba stron	12
Identyfikatory DOI	https://doi.org/10.1007/978-3-642-02345-3_12
Status publikacji	Opublikowano - 2009
Wydarzenie	International Conference on Computer Vision and Graphics, ICCVG 2008 - Warsaw, Polska Czas trwania: 10 lis 2008 → 12 lis 2008

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	5337 LNCS
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	International Conference on Computer Vision and Graphics, ICCVG 2008
Kraj/Terytorium	Polska
Miejscowość	Warsaw
Okres	10/11/08 → 12/11/08

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

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10.1007/978-3-642-02345-3_12

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Nurzỳnska, K. (2009). 3D object reconstruction from parallel cross-sections. W Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers (str. 111-122). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 5337 LNCS). https://doi.org/10.1007/978-3-642-02345-3_12

@inproceedings{36532ea559ce4d7196f277b96998e35d,

title = "3D object reconstruction from parallel cross-sections",

abstract = "The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.",

keywords = "3D object reconstruction, CT scans, Contour stitching, Parallel contours",

author = "Karolina Nurzỳnska",

year = "2009",

doi = "10.1007/978-3-642-02345-3\_12",

language = "English",

isbn = "3642023444",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "111--122",

booktitle = "Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers",

note = "International Conference on Computer Vision and Graphics, ICCVG 2008 ; Conference date: 10-11-2008 Through 12-11-2008",

}

Nurzỳnska, K 2009, 3D object reconstruction from parallel cross-sections. w Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), tom 5337 LNCS, str. 111-122, International Conference on Computer Vision and Graphics, ICCVG 2008, Warsaw, Polska, 10/11/08. https://doi.org/10.1007/978-3-642-02345-3_12

3D object reconstruction from parallel cross-sections. / Nurzỳnska, Karolina.
Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers. 2009. str. 111-122 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 5337 LNCS).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - 3D object reconstruction from parallel cross-sections

AU - Nurzỳnska, Karolina

PY - 2009

Y1 - 2009

N2 - The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.

AB - The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.

KW - 3D object reconstruction

KW - CT scans

KW - Contour stitching

KW - Parallel contours

UR - https://www.scopus.com/pages/publications/68849118010

U2 - 10.1007/978-3-642-02345-3_12

DO - 10.1007/978-3-642-02345-3_12

M3 - Conference contribution

AN - SCOPUS:68849118010

SN - 3642023444

SN - 9783642023446

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 111

EP - 122

BT - Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers

T2 - International Conference on Computer Vision and Graphics, ICCVG 2008

Y2 - 10 November 2008 through 12 November 2008

ER -

3D object reconstruction from parallel cross-sections

Abstrakt

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Konferencja

Obszary tematyczne ASJC Scopus

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