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An update on automatic 3D building reconstruction
The development of tools for the generation of 3D city models started almost two decades ago. From the beginning, fully automatic reconstruction systems were envisioned to fulfil the need forExpand
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3D BUILDING RECONSTRUCTION FROM LIDAR BASED ON A CELL DECOMPOSITION APPROACH
The reconstruction of 3D city models has matured in recent years from a research topic and niche market to commercial products and services. When constructing models on a large scale, it isExpand
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3D BUILDING GENERALIZATION BASED ON HALF-SPACE MODELING
This article presents a novel approach for the automatic generalization of 3D building models with regard to a cartographic 3D visualization. Here, the goal is not to render realistic, but ratherExpand
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Scale-Dependent Simplification of 3D Building Models Based on Cell Decomposition and Primitive Instancing
  • M. Kada
  • Mathematics, Computer Science
  • COSIT
  • 19 September 2007
TLDR
The paper proposes a novel approach for a scale-dependent geometric simplification of 3D building models that are an integral part of virtual cities. Expand
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Effects of different inhibitors of 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, pravastatin sodium and simvastatin, on sterol synthesis and immunological functions in human lymphocytes
It has been shown previously that 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (HMG-CoA RIs) such as compactin and lovastatin suppress human lymphocyte functions in vitro (Cuthbert andExpand
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AUTOMATIC GENERALISATION OF 3D BUILDING MODELS
TLDR
The paper presents an automatic approach for the generalisation of 3D building models with regard to the visualisation of urban landscapes. Expand
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CELL DECOMPOSITION FOR THE GENERATION OF BUILDING MODELS AT MULTIPLE SCALES
Existing tools for 3D building reconstruction usually apply approaches, which are either based on constructive solid geometry (CSG) or boundary representation (B-Rep). After a brief discussion ofExpand
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Aggregation of 3D Buildings Using a Hybrid Data Approach
With the increasing availability of large-area 3D city models, there is also a rising need for cartographic generalization algorithms to prepare this data so as to improve both the performance andExpand
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ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION
TLDR
We present RoofN3D which provides a new 3D point cloud training dataset that can be used to train machine learning models for different tasks in the context of 3D building reconstruction. Expand
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On-the-Fly Adaptive Subdivision Terrain
TLDR
We use adaptive subdivision surfaces which are calculated on the fly by using information from the directed edge based mesh of the previously rendered frame and throwing away triangles not used any longer. Expand
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