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This paper demonstrates how procedural modeling and computer graphics techniques can be combined for creating fast, accurate and realistic modeling of archaeological parts of buildings which can be used for games and virtual environments. As a case study the Ionic order of Greek and Roman temples is examined. In particular, the temple of Portunus in Rome, Italy was used as a case study. A set of geometric...
Visualisations are a useful tool for helping people understand and communicate data. However, flexible and powerful tools for creating visualisations are mainly accessible only to programmers. My proposal is to explore the use of programming by example and direct manipulation as the main paradigms for building visualisation tools for end user programmers.
Increasing numbers of 3D models provide a greatopportunity for data-driven shape modeling, analysis andsynthesis. The most critical core technique is to aggregateinformation from model collections to improve reasoningtheir properties and relationships. In this paper, we proposea probabilistic model for traditional Chinese architectures, which encodes the semantic type and hierarchicalrelationships...
Predictive models for geometric shape deformation constitute an important component in geometric fidelity control for three-dimensional (3D) printing. However, model building is made difficult by the wide variety of possible process conditions and shapes. A methodology that can make full use of data collected on different shapes and conditions, and reduce the haphazard aspect of traditional statistical...
The construction of statistical shape model (SSM) is an important research topic in medical imaging benefited from its robust and nature represent of anatomical structures. Place-march of corresponding landmarks is one of the major factors influencing 3D SSM quality. In this paper, we present a supervised correspondence method for fast building SSM, which includes two main steps, i.e., surface data...
Nowadays, since urban planning and landscape simulations are required to get the "characteristics" of target buildings, especially in structures, the reconstruction of 3D building models, necessary for visualization on a computer, becomes crucial. In 3D landscape modeling, a 3D building model that can well represent reality is always the upmost goal. We have already proposed an automatic...
Extraction of objects such as buildings from very high resolution(VHR) remote sensing imagery is an important task nowadays. In practical application, the extraction precision is normally satisfied through interactive manual input. Therefore, we propose a semi-automatic building extraction framework with an energy minimization model, which includes two stages: the first stage generates the coarse...
In a high-dimensional objective space, visualization of population in an approximate Pareto front is crucial to decision making process. By directly observing the performance of each solution, the trade-off between objectives, and distribution of approximate front, the decision maker can effectively decide which solution should be chosen from. Furthermore, visualization throughout the evolution process...
In this paper, we present a new framework for building change detection from monocular aerial imagery that automatically predicts building candidates based on adaptive local textural features with successive background removal. An adaptive local entropy feature is developed based on quadratic regression and Random Sample Consensus (RANSAC) for extracting potential building candidates. Then a majority...
Geographic object-based image analysis (GEOBIA) is a useful method for image classification. This study aimed to find optimal parameters combination for extracting buildings using object-based image analysis. The images taken from two satellites Quickbird-2 and Gaofen (GF-1) were used to extract information of buildings in an urban area. The most important step in image segmentation is to determine...
Recently, mobile networks employing high-speed high-capacity communications have been investigated extensively to satisfy the demand for the faster and larger data communication. As one of the approaches, frequencies between 6 and 100 GHz bands are the candidates to utilize the relatively wide frequency bandwidths. Accordingly, the characteristics of radio propagation loss in these frequency bands...
High resolution satellite images are new sources of data for geo-spatial information. In order to automate the process of extraction of information from satellite images emulating human experts, an understanding of the human cognitive processes involved in information extraction from images are required. The objective of this research work is to emulate the human cognitive capabilities by integrating...
Mobile networks employing higher data rate and speed have been investigated for deployment of 5G mobile communication systems in urban microcellular environment. One of the approaches to achieve this goal, frequencies between 6 and 100 GHz are candidate to be utilized due to rich frequency spectrum. However radio propagation loss in these high frequencies is not characterized yet. Ray tracing (RT)...
This paper proposes a new method for the segmentation of the scanned point clouds that achieves an accurate definition of objects' faces, critical for their digitalization. The topological structuring of the input point cloud is realised by a nearest-neighbour graph, while locally fitted surfaces are used to quantify the objects' shapes. Noise is filtered by a graph-cut and the segmentation is performed...
Decomposing 3D building models into architectural elements is an essential step in understanding their 3D structure. Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects. We formulate the decomposition as a multi-label optimization that identifies individual elements of a landmark. This allows our system to cope with noisy, incomplete, outlier-contaminated 3D point...
The rapid spread of location-based devices and cheap storage mechanisms, as well as fast development of Internet technology, allowed collection and distribution of huge amounts of user-generated data. These user generated data sometimes are known as georeferenced documents, they have their location information and time of posting embedded with them. These parameters help to retrieve the location information...
A 3D urban model is important in urban planning and game industries. However, creating these 3D models are labor-intensive. In order to automate laborious steps, a GIS (Geographic Information System) and CG integrated system is proposed for automatically generating 3D building models, based on building polygons on a digital map. These polygons are usually orthogonal. A complicated orthogonal polygon...
Approach of detection of buildings on satellite images is presented in this paper. Actuality of work is shown. Possible areas of the use of the research results are presented. The detection is based on joint use of height, color, shape. The height of the object is determined based on energy minimization within the region. The image is segmented previously. The area of vegetation and the shadows are...
The paper presents a new algorithm for the estimation of the heights of buildings acquired by multiangular multispec-tral/panchromatic acquisitions. The proposed method aims at exploiting the complete multiangular spatial and spectral information provided by the WorldView-2 system with controlled computational complexity of the overall automated system. It adopts a hierarchical classification scheme...
Building boundary identification is an essential prerequisite in building outline generation from point cloud data. In this problem, boundary edges that constitute the building boundary are identified. The existing solutions to the identification of boundary edges from the input point set have one or more of the following problems: ineffective in finding appropriate edges in a concave shape, incapable...
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