Adaptive space carving with texture mapping

Yoo Kil Yang; Jung Lee; Soo Kyun Kim; Chang Hun Kim

Adaptive space carving with texture mapping

Yoo Kil Yang, Jung Lee, Soo Kyun Kim, Chang Hun Kim

Research output: Contribution to journal › Conference article › peer-review

Abstract

Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.

Original language	English
Pages (from-to)	1129-1138
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3482
Issue number	III
Publication status	Published - 2005
Event	International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 2005 May 9 → 2005 May 12

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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title = "Adaptive space carving with texture mapping",

abstract = "Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.",

author = "Yang, {Yoo Kil} and Jung Lee and Kim, {Soo Kyun} and Kim, {Chang Hun}",

year = "2005",

language = "English",

volume = "3482",

pages = "1129--1138",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "III",

note = "International Conference on Computational Science and Its Applications - ICCSA 2005 ; Conference date: 09-05-2005 Through 12-05-2005",

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T1 - Adaptive space carving with texture mapping

AU - Yang, Yoo Kil

AU - Lee, Jung

AU - Kim, Soo Kyun

AU - Kim, Chang Hun

PY - 2005

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N2 - Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.

AB - Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.

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M3 - Conference article

AN - SCOPUS:24944567470

SN - 0302-9743

VL - 3482

SP - 1129

EP - 1138

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - III

T2 - International Conference on Computational Science and Its Applications - ICCSA 2005

Y2 - 9 May 2005 through 12 May 2005

ER -

Adaptive space carving with texture mapping

Abstract

ASJC Scopus subject areas

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