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
Os diversos meios de transmissão que estarão disponíveis no futuro causarão um aumento na procura de programas. Quando a entrada da postura de um agente é usada para manipular um ator virtual de computação gráfica, é melhor que o sistema não exija estúdio e dispositivos especiais. No presente artigo, propomos uma forma de extrair imagens de uma única imagem com base em estimativas de florescimento. Isso é feito usando uma análise de autocorrelação parcial que realiza previsões retroativas e futuras simultaneamente. E dividimos os alvos na profundidade estratificada de uma única imagem. Um experimento foi realizado utilizando uma foto tirada com uma câmera digital e resultados satisfatórios foram obtidos.
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Mitsunobu KAMATA, Akihiko SUGIURA, "A Method to Divide Targets into the Stratified Depth from a Single Image" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 8, pp. 1892-1899, August 2001, doi: .
Abstract: The diverse broadcast means that will be available in the future will cause an increased demand for programs. When the input of the posture of an agent is used to manipulate a virtual computer graphics actor, it is better if the system does not require a special studio and devices. In the present paper, we propose a way to extract images from a single picture based on estimates of blooming. This is done using a partial auto-correlation analysis that carries out backward and forward predictions simultaneously. And, we divide targets into the stratified depth from a single image. An experiment was conducted using a picture taken with a digital camera, and satisfactory results were obtained.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_8_1892/_p
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@ARTICLE{e84-a_8_1892,
author={Mitsunobu KAMATA, Akihiko SUGIURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Method to Divide Targets into the Stratified Depth from a Single Image},
year={2001},
volume={E84-A},
number={8},
pages={1892-1899},
abstract={The diverse broadcast means that will be available in the future will cause an increased demand for programs. When the input of the posture of an agent is used to manipulate a virtual computer graphics actor, it is better if the system does not require a special studio and devices. In the present paper, we propose a way to extract images from a single picture based on estimates of blooming. This is done using a partial auto-correlation analysis that carries out backward and forward predictions simultaneously. And, we divide targets into the stratified depth from a single image. An experiment was conducted using a picture taken with a digital camera, and satisfactory results were obtained.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - A Method to Divide Targets into the Stratified Depth from a Single Image
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1892
EP - 1899
AU - Mitsunobu KAMATA
AU - Akihiko SUGIURA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2001
AB - The diverse broadcast means that will be available in the future will cause an increased demand for programs. When the input of the posture of an agent is used to manipulate a virtual computer graphics actor, it is better if the system does not require a special studio and devices. In the present paper, we propose a way to extract images from a single picture based on estimates of blooming. This is done using a partial auto-correlation analysis that carries out backward and forward predictions simultaneously. And, we divide targets into the stratified depth from a single image. An experiment was conducted using a picture taken with a digital camera, and satisfactory results were obtained.
ER -