BUILDING EXTRACTION USING MULTI SENSOR SYSTEMS

Building a Multi-Granularity Sensor Network Using 2-dominating Sets

Automatic Modeling of Building Interiors Using Low-Cost Sensor Systems

Indoor reconstruction or 3D modeling of indoor scenes aims at representing the 3D shape of building interiors in terms of surfaces and volumes, using photographs, 3D point clouds or hypotheses. Due to advances in the range measurement sensors technology and vision algorithms, and at the same time an increased demand for indoor models by many applications, this topic of research has gained growi...

Building Extraction Using Lidar Data

Accurate 3D surface models in urban areas are essential for a variety of applications, such as visualization, GIS, and mobile communications. Since manual surface reconstruction is very costly and time consuming, the development of automated algorithms is of great importance. On the other hand LIDAR data is a relatively new technology for obtaining Digital Surface Models (DSM) of the earth’s su...

Building Generation for Multi-Sensor Simulation

Urban Warfare training can be achieved with infrared/NVG embedded sensors, such sensors can also be used for infrared image recognition and target identification training. In the infrared domain, the 3D representation of a facade is necessary in order to have realistic representation with regards both to thermal computation and thermal effects. In the radar domain, this type of facade modelling...

Building MPI for Multi-Programming Systems Using Implicit Information

With the growing importance of fast system area networks in the parallel community, it is becoming common for message passing programs to run in multi-programming environments. Competing sequential and parallel jobs can distort the global coordination of communicating processes. In this paper, we describe our implementation of MPI using implicit information for global coscheduling. Our results ...