The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cet article, nous décrivons une nouvelle technique pour extraire une description polyédrique à partir des données de portée panoramique d'une scène prise par un télémètre laser panoramique. Tout d’abord, nous introduisons un modèle de bruit raisonnable des données de distance acquises avec un télémètre radar laser, et dérivons une solution approximative simple et efficace de l’ajustement optimal d’un plan local dans les données de distance sous le modèle de bruit supposé. Ensuite, nous calculons les normales de surface locales à l'aide de la méthode proposée et extrayons des régions planaires stables des données de distance en utilisant à la fois les informations de distribution des normales de surface locales et leurs informations spatiales dans l'image de distance. Enfin, nous décrivons une méthode qui construit une description polyédrique de la scène en utilisant les régions planaires stables extraites des données de plage panoramique avec 360
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Caihua WANG, Hideki TANAHASHI, Hidekazu HIRAYU, Yoshinori NIWA, Kazuhiko YAMAMOTO, "Polyhedral Description of Panoramic Range Data by Stable Plane Extraction" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 9, pp. 1399-1408, September 2002, doi: .
Abstract: In this paper, we describe a novel technique to extract a polyhedral description from panoramic range data of a scene taken by a panoramic laser range finder. First, we introduce a reasonable noise model of the range data acquired with a laser radar range finder, and derive a simple and efficient approximate solution of the optimal fitting of a local plane in the range data under the assumed noise model. Then, we compute the local surface normals using the proposed method and extract stable planar regions from the range data by using both the distribution information of local surface normals and their spatial information in the range image. Finally, we describe a method which builds a polyhedral description of the scene using the extracted stable planar regions of the panoramic range data with 360
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_9_1399/_p
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@ARTICLE{e85-d_9_1399,
author={Caihua WANG, Hideki TANAHASHI, Hidekazu HIRAYU, Yoshinori NIWA, Kazuhiko YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Polyhedral Description of Panoramic Range Data by Stable Plane Extraction},
year={2002},
volume={E85-D},
number={9},
pages={1399-1408},
abstract={In this paper, we describe a novel technique to extract a polyhedral description from panoramic range data of a scene taken by a panoramic laser range finder. First, we introduce a reasonable noise model of the range data acquired with a laser radar range finder, and derive a simple and efficient approximate solution of the optimal fitting of a local plane in the range data under the assumed noise model. Then, we compute the local surface normals using the proposed method and extract stable planar regions from the range data by using both the distribution information of local surface normals and their spatial information in the range image. Finally, we describe a method which builds a polyhedral description of the scene using the extracted stable planar regions of the panoramic range data with 360
keywords={},
doi={},
ISSN={},
month={September},}
Copier
TY - JOUR
TI - Polyhedral Description of Panoramic Range Data by Stable Plane Extraction
T2 - IEICE TRANSACTIONS on Information
SP - 1399
EP - 1408
AU - Caihua WANG
AU - Hideki TANAHASHI
AU - Hidekazu HIRAYU
AU - Yoshinori NIWA
AU - Kazuhiko YAMAMOTO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2002
AB - In this paper, we describe a novel technique to extract a polyhedral description from panoramic range data of a scene taken by a panoramic laser range finder. First, we introduce a reasonable noise model of the range data acquired with a laser radar range finder, and derive a simple and efficient approximate solution of the optimal fitting of a local plane in the range data under the assumed noise model. Then, we compute the local surface normals using the proposed method and extract stable planar regions from the range data by using both the distribution information of local surface normals and their spatial information in the range image. Finally, we describe a method which builds a polyhedral description of the scene using the extracted stable planar regions of the panoramic range data with 360
ER -