IEICE TRANSACTIONS on Fundamentals
A Method to Divide Targets into the Stratified Depth from a Single Image
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.8 pp.1892-1899
- Publication Date
- 2001/08/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Digital Signal Processing)
- Category
- Image/Visual Signal Processing
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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},}
Copy
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 -
English
