Optimizing a Triangular Mesh for Shape Reconstruction from Images
Summary :
In reconstructing 3-D from images based on feature points, one usually defines a triangular mesh that has these feature points as vertices and displays the scene as a polyhedron. If the scene itself is a polyhedron, however, some of the displayed edges may be inconsistent with the true shape. This paper presents a new technique for automatically eliminating such inconsistencies by using a special template. We also present a technique for removing spurious occluding edges. All the procedures do not require any thresholds to be adjusted. Using real images, we demonstrate that our method has high capability to correct inconsistencies.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.10 pp.2269-2276
- Publication Date
- 2005/10/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.10.2269
- Type of Manuscript
- Special Section PAPER (Special Section on Image Recognition and Understanding)
- Category
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Atsutada NAKATSUJI, Yasuyuki SUGAYA, Kenichi KANATANI, "Optimizing a Triangular Mesh for Shape Reconstruction from Images" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 10, pp. 2269-2276, October 2005, doi: 10.1093/ietisy/e88-d.10.2269.
Abstract: In reconstructing 3-D from images based on feature points, one usually defines a triangular mesh that has these feature points as vertices and displays the scene as a polyhedron. If the scene itself is a polyhedron, however, some of the displayed edges may be inconsistent with the true shape. This paper presents a new technique for automatically eliminating such inconsistencies by using a special template. We also present a technique for removing spurious occluding edges. All the procedures do not require any thresholds to be adjusted. Using real images, we demonstrate that our method has high capability to correct inconsistencies.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.10.2269/_p
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@ARTICLE{e88-d_10_2269,
author={Atsutada NAKATSUJI, Yasuyuki SUGAYA, Kenichi KANATANI, },
journal={IEICE TRANSACTIONS on Information},
title={Optimizing a Triangular Mesh for Shape Reconstruction from Images},
year={2005},
volume={E88-D},
number={10},
pages={2269-2276},
abstract={In reconstructing 3-D from images based on feature points, one usually defines a triangular mesh that has these feature points as vertices and displays the scene as a polyhedron. If the scene itself is a polyhedron, however, some of the displayed edges may be inconsistent with the true shape. This paper presents a new technique for automatically eliminating such inconsistencies by using a special template. We also present a technique for removing spurious occluding edges. All the procedures do not require any thresholds to be adjusted. Using real images, we demonstrate that our method has high capability to correct inconsistencies.},
keywords={},
doi={10.1093/ietisy/e88-d.10.2269},
ISSN={},
month={October},}
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TY - JOUR
TI - Optimizing a Triangular Mesh for Shape Reconstruction from Images
T2 - IEICE TRANSACTIONS on Information
SP - 2269
EP - 2276
AU - Atsutada NAKATSUJI
AU - Yasuyuki SUGAYA
AU - Kenichi KANATANI
PY - 2005
DO - 10.1093/ietisy/e88-d.10.2269
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2005
AB - In reconstructing 3-D from images based on feature points, one usually defines a triangular mesh that has these feature points as vertices and displays the scene as a polyhedron. If the scene itself is a polyhedron, however, some of the displayed edges may be inconsistent with the true shape. This paper presents a new technique for automatically eliminating such inconsistencies by using a special template. We also present a technique for removing spurious occluding edges. All the procedures do not require any thresholds to be adjusted. Using real images, we demonstrate that our method has high capability to correct inconsistencies.
ER -
English
