IEICE TRANSACTIONS on Information
A Method for Depth Extraction by Motion Parallax
Summary :
A Dynamic Depth Extraction Method (DDEM) is proposed, which measures the time required for an edge to move through a known distance on the image plane and hence is able to calculate depth. Experimental results for three vertical bars in different depths show that the mean depths obtained by DDEM were almost the same as those obtained from direct measurement. The fluctuation of obtained depth was about 3.6%, which corresponds to one half frame difference in matching time of the near bar. Three kins of thresholds (λ1, λ2 and λ3) were introduced to reduce the noise affection. There was a wide range of thresholds for which the depth can be extracted stably. The DDEM was also successfully applied to recovering 3D structure of a complicated room.
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- IEICE TRANSACTIONS on Information Vol.E74-D No.10 pp.3394-3399
- Publication Date
- 1991/10/25
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- Special Section PAPER (Special Issue on Computer Vision and Its Applications)
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Terunori MORI, Masanobu YAMAMOTO, "A Method for Depth Extraction by Motion Parallax" in IEICE TRANSACTIONS on Information,
vol. E74-D, no. 10, pp. 3394-3399, October 1991, doi: .
Abstract: A Dynamic Depth Extraction Method (DDEM) is proposed, which measures the time required for an edge to move through a known distance on the image plane and hence is able to calculate depth. Experimental results for three vertical bars in different depths show that the mean depths obtained by DDEM were almost the same as those obtained from direct measurement. The fluctuation of obtained depth was about 3.6%, which corresponds to one half frame difference in matching time of the near bar. Three kins of thresholds (λ1, λ2 and λ3) were introduced to reduce the noise affection. There was a wide range of thresholds for which the depth can be extracted stably. The DDEM was also successfully applied to recovering 3D structure of a complicated room.
URL: https://global.ieice.org/en_transactions/information/10.1587/e74-d_10_3394/_p
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@ARTICLE{e74-d_10_3394,
author={Terunori MORI, Masanobu YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={A Method for Depth Extraction by Motion Parallax},
year={1991},
volume={E74-D},
number={10},
pages={3394-3399},
abstract={A Dynamic Depth Extraction Method (DDEM) is proposed, which measures the time required for an edge to move through a known distance on the image plane and hence is able to calculate depth. Experimental results for three vertical bars in different depths show that the mean depths obtained by DDEM were almost the same as those obtained from direct measurement. The fluctuation of obtained depth was about 3.6%, which corresponds to one half frame difference in matching time of the near bar. Three kins of thresholds (λ1, λ2 and λ3) were introduced to reduce the noise affection. There was a wide range of thresholds for which the depth can be extracted stably. The DDEM was also successfully applied to recovering 3D structure of a complicated room.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - A Method for Depth Extraction by Motion Parallax
T2 - IEICE TRANSACTIONS on Information
SP - 3394
EP - 3399
AU - Terunori MORI
AU - Masanobu YAMAMOTO
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E74-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 1991
AB - A Dynamic Depth Extraction Method (DDEM) is proposed, which measures the time required for an edge to move through a known distance on the image plane and hence is able to calculate depth. Experimental results for three vertical bars in different depths show that the mean depths obtained by DDEM were almost the same as those obtained from direct measurement. The fluctuation of obtained depth was about 3.6%, which corresponds to one half frame difference in matching time of the near bar. Three kins of thresholds (λ1, λ2 and λ3) were introduced to reduce the noise affection. There was a wide range of thresholds for which the depth can be extracted stably. The DDEM was also successfully applied to recovering 3D structure of a complicated room.
ER -
English
