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
Nous proposons une nouvelle méthode pour générer des images stéréo visuelles à partir des images bidimensionnelles courantes sans reconstruction 3D. Les principales contributions novatrices de ce rapport concernent deux aspects. Tout d'abord, nous abordons la détection du mouvement dominant présenté dans les scènes données. Pour ce faire, nous empruntons le théorème de déphasage et calculons la transformée de Fourier inverse du spectre de puissance croisée pour trouver la valeur de crête maximale dont la position peut être utilisée pour décider des paramètres de mouvement. Deuxièmement, contrairement à la plupart des chercheurs qui étudient la vision stéréo pour récupérer des informations 3D pour la modélisation et le rendu, nous abordons la génération d'images stéréo visuelles sans reconstruction 3D en appliquant les paramètres de mouvement calculés pour prendre la décision de sélectionner deux images données pour former une paire stéréo pour la gauche. l'œil et l'œil droit respectivement. Les approches proposées peuvent être utilisées pour des applications telles que la navigation dans un environnement virtuel.
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Xiaohua ZHANG, Masayuki NAKAJIMA, "Visual Stereo Image Generation from Video Data Using Phase Correlation Technique" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 6, pp. 1266-1273, June 2000, doi: .
Abstract: We propose a new method for generating visual stereo images from the common two dimensional images without 3D reconstruction. The major novel contributions of this report are in two aspects. First, we address the detection of dominant motion presented in the given scenes, for doing so we borrow phase shift theorem and calculate the inverse Fourier transform of cross-power spectrum to find the maximum peak value whose position can be used to decide motion parameters. Secondly, unlike most of researchers study the stereo vision to recover 3D information for modeling and rendering, we address the visual stereo image generation without 3D reconstruction by applying the computed motion parameters to make decision of selecting two given images to form a stereo pair for left eye and right eye respectively. The proposed approaches can be employed for applications such as navigation in a virtual environment.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_6_1266/_p
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@ARTICLE{e83-d_6_1266,
author={Xiaohua ZHANG, Masayuki NAKAJIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Visual Stereo Image Generation from Video Data Using Phase Correlation Technique},
year={2000},
volume={E83-D},
number={6},
pages={1266-1273},
abstract={We propose a new method for generating visual stereo images from the common two dimensional images without 3D reconstruction. The major novel contributions of this report are in two aspects. First, we address the detection of dominant motion presented in the given scenes, for doing so we borrow phase shift theorem and calculate the inverse Fourier transform of cross-power spectrum to find the maximum peak value whose position can be used to decide motion parameters. Secondly, unlike most of researchers study the stereo vision to recover 3D information for modeling and rendering, we address the visual stereo image generation without 3D reconstruction by applying the computed motion parameters to make decision of selecting two given images to form a stereo pair for left eye and right eye respectively. The proposed approaches can be employed for applications such as navigation in a virtual environment.},
keywords={},
doi={},
ISSN={},
month={June},}
Copier
TY - JOUR
TI - Visual Stereo Image Generation from Video Data Using Phase Correlation Technique
T2 - IEICE TRANSACTIONS on Information
SP - 1266
EP - 1273
AU - Xiaohua ZHANG
AU - Masayuki NAKAJIMA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2000
AB - We propose a new method for generating visual stereo images from the common two dimensional images without 3D reconstruction. The major novel contributions of this report are in two aspects. First, we address the detection of dominant motion presented in the given scenes, for doing so we borrow phase shift theorem and calculate the inverse Fourier transform of cross-power spectrum to find the maximum peak value whose position can be used to decide motion parameters. Secondly, unlike most of researchers study the stereo vision to recover 3D information for modeling and rendering, we address the visual stereo image generation without 3D reconstruction by applying the computed motion parameters to make decision of selecting two given images to form a stereo pair for left eye and right eye respectively. The proposed approaches can be employed for applications such as navigation in a virtual environment.
ER -