IEICE TRANSACTIONS on Information
Passive Range Sensing Techniques: Depth from Images
Summary :
Acquisition of three-dimensional information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades. Noncontact range acquisition techniques can be essentially classified into two classes: Passive and active. This paper concentrates on passive depth extraction techniques which have the advantage that 3-D information can be obtained without affecting the scene. Passive range sensing techniques are often referred to as shape-from-x, where x is one of visual cues such as shading, texture, contour, focus, stereo, and motion. These techniques produce 2.5-D representations of visible surfaces. This survey discusses aspects of this research field and reviews some recent advances including video-rate range imaging sensors as well as emerging themes and applications.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.3 pp.523-533
- Publication Date
- 1999/03/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- INVITED SURVEY PAPER
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Naokazu YOKOYA, Takeshi SHAKUNAGA, Masayuki KANBARA, "Passive Range Sensing Techniques: Depth from Images" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 3, pp. 523-533, March 1999, doi: .
Abstract: Acquisition of three-dimensional information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades. Noncontact range acquisition techniques can be essentially classified into two classes: Passive and active. This paper concentrates on passive depth extraction techniques which have the advantage that 3-D information can be obtained without affecting the scene. Passive range sensing techniques are often referred to as shape-from-x, where x is one of visual cues such as shading, texture, contour, focus, stereo, and motion. These techniques produce 2.5-D representations of visible surfaces. This survey discusses aspects of this research field and reviews some recent advances including video-rate range imaging sensors as well as emerging themes and applications.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_3_523/_p
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@ARTICLE{e82-d_3_523,
author={Naokazu YOKOYA, Takeshi SHAKUNAGA, Masayuki KANBARA, },
journal={IEICE TRANSACTIONS on Information},
title={Passive Range Sensing Techniques: Depth from Images},
year={1999},
volume={E82-D},
number={3},
pages={523-533},
abstract={Acquisition of three-dimensional information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades. Noncontact range acquisition techniques can be essentially classified into two classes: Passive and active. This paper concentrates on passive depth extraction techniques which have the advantage that 3-D information can be obtained without affecting the scene. Passive range sensing techniques are often referred to as shape-from-x, where x is one of visual cues such as shading, texture, contour, focus, stereo, and motion. These techniques produce 2.5-D representations of visible surfaces. This survey discusses aspects of this research field and reviews some recent advances including video-rate range imaging sensors as well as emerging themes and applications.},
keywords={},
doi={},
ISSN={},
month={March},}
Copy
TY - JOUR
TI - Passive Range Sensing Techniques: Depth from Images
T2 - IEICE TRANSACTIONS on Information
SP - 523
EP - 533
AU - Naokazu YOKOYA
AU - Takeshi SHAKUNAGA
AU - Masayuki KANBARA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 1999
AB - Acquisition of three-dimensional information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades. Noncontact range acquisition techniques can be essentially classified into two classes: Passive and active. This paper concentrates on passive depth extraction techniques which have the advantage that 3-D information can be obtained without affecting the scene. Passive range sensing techniques are often referred to as shape-from-x, where x is one of visual cues such as shading, texture, contour, focus, stereo, and motion. These techniques produce 2.5-D representations of visible surfaces. This survey discusses aspects of this research field and reviews some recent advances including video-rate range imaging sensors as well as emerging themes and applications.
ER -
English
