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
도시행정, 시설관리 등 다양한 분야에서 사용자에게 자동화된 매핑 기능을 제공하는 지리정보시스템(GIS)에 대한 요청이 늘어나고 있습니다. 도시 현장의 3D 뷰를 표시하는 메커니즘은 현장의 객체를 관리하기 위한 직관적이고 이해하기 쉬운 환경을 구축할 수 있기 때문에 특히 필요합니다. 본 논문에서는 이미지 기반과 기하학 기반 접근 방식을 모두 활용하는 새로운 도시 모델링 시스템을 제시합니다. 우리의 방법은 넓은 도시 지역을 자연스럽고 사실적인 이미지로 표시할 수 있고 뷰에 그려진 각 객체를 가리키면 식별할 수 있다는 새로운 개념을 기반으로 합니다. 첫째, 어떤 시점에서든 자연스러운 도시 경관을 생성하기 위해 이미지 기반 렌더링 방법을 사용합니다. 이미지 연습, 항공사진을 처리하도록 수정합니다. 이 방법은 여러 소스 사진을 조합하여 자연스러운 뷰를 보간하고 생성할 수 있습니다. 다음으로, 장면의 각 객체를 식별하기 위해 컴퓨터 비전 기술(기하학 기반 접근 방식)을 사용하여 객체의 모양을 복구합니다. 다양한 항공사진을 통해 각 건물의 대략적인 형태를 재구성한 후 생성된 뷰에서 건물이 그려지는 위치도 결정됩니다. 이는 도시적인 관점에서 각 건물을 식별하는 것이 가능해진다는 것을 의미한다. 우리는 이 두 가지 접근 방식을 결합하여 새로운 스타일의 도시 정보 관리를 만들어냈습니다. 시스템 사용자는 어떤 시점에서도 자연스러운 시야를 생성하고 사물의 형태를 적절하게 재구성함으로써 해당 지역을 직관적으로 이해하고 대상을 쉽게 식별할 수 있습니다. 우리는 우리 방법의 타당성을 보여준 새로운 GIS 개념의 프로토타입 시스템을 만들었습니다.
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부
Katsuyuki KAMEI, Wayne HOY, Takashi TAMADA, Kazuo SEO, "Modeling of Urban Scenes by Aerial Photographs and Simply Reconstructed Buildings" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1441-1449, July 2000, doi: .
Abstract: In many fields such as city administration and facilities management, there are an increasing number of requests for a Geographic Information System (GIS) that provides users with automated mapping functions. A mechanism which displays 3D views of an urban scene is particularly required because it would allow the construction of an intuitive and understandable environment for managing objects in the scene. In this paper, we present a new urban modeling system utilizing both image-based and geometry-based approaches. Our method is based on a new concept in which a wide urban area can be displayed with natural photo-realistic images, and each object drawn in the view can be identified by pointing to it. First, to generate natural urban views from any viewpoint, we employ an image-based rendering method, Image Walkthrough, and modify it to handle aerial images. This method can interpolate and generate natural views by assembling several source photographs. Next, to identify each object in the scene, we recover its shape using computer vision techniques (a geometry-based approach). The rough shape of each building is reconstructed from various aerial images, and then its drawn position on the generated view is also determined. This means that it becomes possible to identify each building from an urban view. We have combined both of these approaches yielding a new style of urban information management. The users of the system can enjoy an intuitive understanding of the area and easily identify their target, by generating natural views from any viewpoint and suitably reconstructing the shapes of objects. We have made a prototype system of this new concept of GIS, which have shown the validity of our method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1441/_p
부
@ARTICLE{e83-d_7_1441,
author={Katsuyuki KAMEI, Wayne HOY, Takashi TAMADA, Kazuo SEO, },
journal={IEICE TRANSACTIONS on Information},
title={Modeling of Urban Scenes by Aerial Photographs and Simply Reconstructed Buildings},
year={2000},
volume={E83-D},
number={7},
pages={1441-1449},
abstract={In many fields such as city administration and facilities management, there are an increasing number of requests for a Geographic Information System (GIS) that provides users with automated mapping functions. A mechanism which displays 3D views of an urban scene is particularly required because it would allow the construction of an intuitive and understandable environment for managing objects in the scene. In this paper, we present a new urban modeling system utilizing both image-based and geometry-based approaches. Our method is based on a new concept in which a wide urban area can be displayed with natural photo-realistic images, and each object drawn in the view can be identified by pointing to it. First, to generate natural urban views from any viewpoint, we employ an image-based rendering method, Image Walkthrough, and modify it to handle aerial images. This method can interpolate and generate natural views by assembling several source photographs. Next, to identify each object in the scene, we recover its shape using computer vision techniques (a geometry-based approach). The rough shape of each building is reconstructed from various aerial images, and then its drawn position on the generated view is also determined. This means that it becomes possible to identify each building from an urban view. We have combined both of these approaches yielding a new style of urban information management. The users of the system can enjoy an intuitive understanding of the area and easily identify their target, by generating natural views from any viewpoint and suitably reconstructing the shapes of objects. We have made a prototype system of this new concept of GIS, which have shown the validity of our method.},
keywords={},
doi={},
ISSN={},
month={July},}
부
TY - JOUR
TI - Modeling of Urban Scenes by Aerial Photographs and Simply Reconstructed Buildings
T2 - IEICE TRANSACTIONS on Information
SP - 1441
EP - 1449
AU - Katsuyuki KAMEI
AU - Wayne HOY
AU - Takashi TAMADA
AU - Kazuo SEO
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - In many fields such as city administration and facilities management, there are an increasing number of requests for a Geographic Information System (GIS) that provides users with automated mapping functions. A mechanism which displays 3D views of an urban scene is particularly required because it would allow the construction of an intuitive and understandable environment for managing objects in the scene. In this paper, we present a new urban modeling system utilizing both image-based and geometry-based approaches. Our method is based on a new concept in which a wide urban area can be displayed with natural photo-realistic images, and each object drawn in the view can be identified by pointing to it. First, to generate natural urban views from any viewpoint, we employ an image-based rendering method, Image Walkthrough, and modify it to handle aerial images. This method can interpolate and generate natural views by assembling several source photographs. Next, to identify each object in the scene, we recover its shape using computer vision techniques (a geometry-based approach). The rough shape of each building is reconstructed from various aerial images, and then its drawn position on the generated view is also determined. This means that it becomes possible to identify each building from an urban view. We have combined both of these approaches yielding a new style of urban information management. The users of the system can enjoy an intuitive understanding of the area and easily identify their target, by generating natural views from any viewpoint and suitably reconstructing the shapes of objects. We have made a prototype system of this new concept of GIS, which have shown the validity of our method.
ER -