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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
3차원 이미지에서 실제 장면의 2.5차원 정보를 획득하는 것은 지난 XNUMX년 동안 컴퓨터 비전 및 이미지 이해에서 가장 중요한 문제 중 하나였습니다. 비접촉 범위 획득 기술은 기본적으로 수동형과 능동형의 두 가지 클래스로 분류될 수 있습니다. 본 논문에서는 장면에 영향을 주지 않고 XNUMX차원 정보를 얻을 수 있다는 장점이 있는 수동적 깊이 추출 기법에 중점을 두고 있다. 수동 범위 감지 기술은 종종 x 모양으로 지칭되며, 여기서 x는 음영, 질감, 윤곽, 초점, 스테레오 및 동작과 같은 시각적 단서 중 하나입니다. 이러한 기술은 눈에 보이는 표면의 XNUMXD 표현을 생성합니다. 본 설문조사에서는 이 연구 분야의 측면을 논의하고 비디오 속도 범위 이미징 센서와 새로운 주제 및 응용 프로그램을 포함한 몇 가지 최근 발전을 검토합니다.
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부
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
부
@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},}
부
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 -