A technique is introduced for extracting and reconstructing a wide class of building types from a registered range image and optical image. An attentional focus stage, followed by model indexing, allows top-down robust surface ttting to reconstruct the 3D nature of the buildings in the data. Because of the effectiveness of model selection, top-down processing of noisy range data still succeeds ...

In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and g...

Various green projects were executed to reduce the energy consumption in building sector. In particular, it is necessary to improve the thermal insulation performance of existing residential buildings. Even though it is critical to evaluate the thermal insulation performance in operation and maintenance phase, most of the policies and previous studies have focused on thermal insulation material...

Despite the availability of high-quality graphics systems, architects and designers still build scaled physical models of buildings and products. These physical models have many advantages, however they are typically static in structure and surface characteristics. They are inherently lifeless. In contrast, high-quality graphics systems are tremendously flexible, allowing viewers to see alterna...

Despite the availability of high-quality graphics systems, architects and designers still build scaled physical models of buildings and products. These physical models have many advantages, however they are typically static in structure and surface characteristics. They are inherently lifeless. In contrast, high-quality graphics systems are tremendously flexible, allowing viewers to see alterna...

The need for a fast, efficient and low cost algorithm for extracting 3D features in urban areas is increasing. Consequently, research in feature extraction has intensified. In this paper we present a new technique to reconstruct buildings and other 3D features in urban areas using LIDAR data only. We have tried to show that dense LIDAR (Light detection and ranging) data is very suitable for 3D ...

Despite their rich energy renewable potential, mountainous areas suffer from energy poverty. A viable solution seems to be the radical turn towards renewable resources. Any tailor-cut energy planning for mountainous areas presupposes the adequate estimation of the energy demand of buildings, which in this case is hindered by the lack of long-term meteorological data, especially in remote, high ...

This paper reports on nine relevant applications of FRP composites in concrete structures in the United States. Strengthening of concrete members with externally bonded FRP laminates or near surface mounted (NSM) bars has received remarkable attention. FRP materials have been used in small projects and some multi-million dollar projects for strengthening parking garages, multi-purpose conventio...

In this work, we explore the capability of the mean shift algorithm as a powerful preprocessing tool for improving the quality of spatial data, acquired from airborne scanners, from densely built urban areas. On one hand, high resolution image data corrupted by noise caused by lossy compression techniques are appropriately smoothed while at the same time preserving the optical edges and, on the...

In this paper, we proposed an automatic procedure to reconstruct building outline using building data and stereo aerial images. Our methods focused on the outline of building, excluding the inner structure of roof surface. This procedure includes five steps, 1) to produce the edge gradient images by Canny Detector, 2) to defined the valid workspace in object space and image space by building da...