3D City Model Generation from Ground Images

Jang, Kyung Ho; Jung, Soon Ki

doi:10.1007/11784203_60

Cited by 2 publications

(2 citation statements)

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“…The device assists the SFM-based algorithms in estimating the camera pose of input images. To handle a large number of image features, an adjacency graph was obtained that spatially represents the adjacency between images with views of the same building (Jang and Jung, 2006). After pose estimation, the user-assistant modeling approach is used based on a half-edge data structure to model the shape of the roof and the detailed shape.…”

Section: Introductionmentioning

confidence: 99%

Practical modeling technique for large-scale 3D building models from ground images

Jang

Jung

2009

Pattern Recognition Letters

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Section: Introductionmentioning

confidence: 99%

Practical modeling technique for large-scale 3D building models from ground images

Jang

Jung

2009

Pattern Recognition Letters

Self Cite

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“…They tested this approach for the Roman site of Sagalassos southwest Turkey. Jang and Jung, (2006), create 3D City Model from Ground Images. Digital camera is used for ground images of a area, This camera is mounted with GPS and digital compass.…”

Section: D City Model By Computer Vision Techniquesmentioning

confidence: 99%

Virtual 3d City Modeling: Techniques and Applications

Singh

Jain

Mandla

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. 3D city model is a digital representation of the Earth's surface and it's related objects such as Building, Tree, Vegetation, and some manmade feature belonging to urban area. There are various terms used for 3D city models such as "Cybertown", "Cybercity", "Virtual City", or "Digital City". 3D city models are basically a computerized or digital model of a city contains the graphic representation of buildings and other objects in 2.5 or 3D. Generally three main Geomatics approach are using for Virtual 3-D City models generation, in first approach, researcher are using Conventional techniques such as Vector Map data, DEM, Aerial images, second approach are based on High resolution satellite images with LASER scanning, In third method, many researcher are using Terrestrial images by using Close Range Photogrammetry with DSM & Texture mapping. We start this paper from the introduction of various Geomatics techniques for 3D City modeling. These techniques divided in to two main categories: one is based on Automation (Automatic, Semi-automatic and Manual methods), and another is Based on Data input techniques (one is Photogrammetry, another is Laser Techniques). After details study of this, finally in short, we are trying to give the conclusions of this study. In the last, we are trying to give the conclusions of this research paper and also giving a short view for justification and analysis, and present trend for 3D City modeling. This paper gives an overview about the Techniques related with "Generation of Virtual 3-D City models using Geomatics Techniques" and the Applications of Virtual 3D City models. Photogrammetry, (Close range, Aerial, Satellite), Lasergrammetry, GPS, or combination of these modern Geomatics techniques play a major role to create a virtual 3-D City model. Each and every techniques and method has some advantages and some drawbacks. Point cloud model is a modern trend for virtual 3-D city model. Photo-realistic, Scalable, Geo-referenced virtual 3-D City model is a very useful for various kinds of applications such as for planning in Navigation, Tourism, Disasters Management, Transportations, Municipality, Urban Environmental Managements and Real-estate industry. So the Construction of Virtual 3-D city models is a most interesting research topic in recent years.

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3D City Model Generation from Ground Images

Cited by 2 publications

References 15 publications

Practical modeling technique for large-scale 3D building models from ground images

Practical modeling technique for large-scale 3D building models from ground images

Virtual 3d City Modeling: Techniques and Applications

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