Pub Date : 2013-05-05DOI: 10.2312/UDMV/UDMV13/033-036
Fan Zhang, V. Tourre, G. Moreau
Applications based on urban environments are applied frequently in daily life which increases the needs for a high quality visualization result. It combines the urban environment and the special application-related topic together. The urban environment can be visualized with different scales, namely with different levels of detail to improve rendering and processing performance of the application. Visualization for the special topic, semantics, similarly is in need of a smart strategy to stay consistent with information density. This paper proposes a general strategy to handle semantic levels of detail visualization in urban environment. An example is given to illustrate how it is applied. Later, a mapping between urban environment levels of detail and semantic levels of detail is discussed. In the last part, the limitations of the general strategy are stated. And visualization issues for semantics are listed such as the proper visualization form and technique for a given semantic level of detail. This paper aims to bring about a wider discussion on semantic levels of detail visualization in urban environment.
{"title":"A General Strategy for Semantic Levels of Detail Visualization in Urban Environment","authors":"Fan Zhang, V. Tourre, G. Moreau","doi":"10.2312/UDMV/UDMV13/033-036","DOIUrl":"https://doi.org/10.2312/UDMV/UDMV13/033-036","url":null,"abstract":"Applications based on urban environments are applied frequently in daily life which increases the needs for a high quality visualization result. It combines the urban environment and the special application-related topic together. The urban environment can be visualized with different scales, namely with different levels of detail to improve rendering and processing performance of the application. Visualization for the special topic, semantics, similarly is in need of a smart strategy to stay consistent with information density. This paper proposes a general strategy to handle semantic levels of detail visualization in urban environment. An example is given to illustrate how it is applied. Later, a mapping between urban environment levels of detail and semantic levels of detail is discussed. In the last part, the limitations of the general strategy are stated. And visualization issues for semantics are listed such as the proper visualization form and technique for a given semantic level of detail. This paper aims to bring about a wider discussion on semantic levels of detail visualization in urban environment.","PeriodicalId":161750,"journal":{"name":"Eurographics Workshop on Urban Data Modelling and Visualisation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-05DOI: 10.2312/UDMV/UDMV13/021-024
S. Seipel, D. Lingfors, J. Widén
Traditional methods for estimating the solar energy potential in buildings determine energy yields on an annual base and make use of highly aggregated geo-spatial data. This work proposes a method for detailed assessment of the potential solar energy yield in the temporal and spatial domain. Solar irradiance is evaluated using numerical methods based on hourly variation of solar irradiance and on actual building geometry. Results of our initial studies allow exploration of the variation patterns in solar yield depending on local and time-varying factors, which cannot be seen in coarse level solar planning tools. This helps identifying surfaces with good solar yield that are deemed unfavorable according to traditional planning practices.
{"title":"Dual-Domain Visual Exploration of Urban Solar Potential","authors":"S. Seipel, D. Lingfors, J. Widén","doi":"10.2312/UDMV/UDMV13/021-024","DOIUrl":"https://doi.org/10.2312/UDMV/UDMV13/021-024","url":null,"abstract":"Traditional methods for estimating the solar energy potential in buildings determine energy yields on an annual base and make use of highly aggregated geo-spatial data. This work proposes a method for detailed assessment of the potential solar energy yield in the temporal and spatial domain. Solar irradiance is evaluated using numerical methods based on hourly variation of solar irradiance and on actual building geometry. Results of our initial studies allow exploration of the variation patterns in solar yield depending on local and time-varying factors, which cannot be seen in coarse level solar planning tools. This helps identifying surfaces with good solar yield that are deemed unfavorable according to traditional planning practices.","PeriodicalId":161750,"journal":{"name":"Eurographics Workshop on Urban Data Modelling and Visualisation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125934588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-05DOI: 10.2312/UDMV/UDMV13/009-012
S. Oesau, Florent Lafarge, P. Alliez
We present a method for automatic reconstruction of permanent structures of indoor scenes, such as walls, floors and ceilings, from raw point clouds acquired by laser scanners. Our approach employs graph-cut to solve an inside/outside labeling of a space decomposition. To allow for an accurate reconstruction the space decomposition is aligned with permanent structures. A Hough Transform is applied for extracting the wall directions while allowing a flexible reconstruction of scenes. The graph-cut formulation takes into account data consistency through an inside/outside prediction for the cells of the space decomposition by stochastic ray casting, while favoring low geometric complexity of the model. Our experiments produces watertight reconstructed models of multi-level buildings and complex scenes.
{"title":"Indoor Scene Reconstruction using Primitive-driven Space Partitioning and Graph-cut","authors":"S. Oesau, Florent Lafarge, P. Alliez","doi":"10.2312/UDMV/UDMV13/009-012","DOIUrl":"https://doi.org/10.2312/UDMV/UDMV13/009-012","url":null,"abstract":"We present a method for automatic reconstruction of permanent structures of indoor scenes, such as walls, floors and ceilings, from raw point clouds acquired by laser scanners. Our approach employs graph-cut to solve an inside/outside labeling of a space decomposition. To allow for an accurate reconstruction the space decomposition is aligned with permanent structures. A Hough Transform is applied for extracting the wall directions while allowing a flexible reconstruction of scenes. The graph-cut formulation takes into account data consistency through an inside/outside prediction for the cells of the space decomposition by stochastic ray casting, while favoring low geometric complexity of the model. Our experiments produces watertight reconstructed models of multi-level buildings and complex scenes.","PeriodicalId":161750,"journal":{"name":"Eurographics Workshop on Urban Data Modelling and Visualisation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117173946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-05DOI: 10.2312/UDMV/UDMV13/031-032
Przemyslaw Musialski, M. Wimmer
Procedural modeling is an elegant and fast way to generate huge complex and realistically looking urban sites. Due to its generative nature it can also be referred to as forward-procedural modeling. Its major drawback is the usually quite complicated way of control. To overcome this difficulty a novel modeling paradigm has been introduced: it is commonly referred to as inverse procedural modeling, and its goal is to generate compact procedural descriptions of existing models---in the best case in an automatic manner as possible. These compact procedural representations can be used as a source for the synthesis of identical or similar objects, applied in various simulations and other studies of urban environments. We believe that this technology is still a widely unexplored ground and that it will prove itself as a very important tool in the reconstruction process. In this paper we sketch how inverse procedural modeling can be applied in the urban modeling field.
{"title":"Inverse-Procedural Methods for Urban Models","authors":"Przemyslaw Musialski, M. Wimmer","doi":"10.2312/UDMV/UDMV13/031-032","DOIUrl":"https://doi.org/10.2312/UDMV/UDMV13/031-032","url":null,"abstract":"Procedural modeling is an elegant and fast way to generate huge complex and realistically looking urban sites. Due to its generative nature it can also be referred to as forward-procedural modeling. Its major drawback is the usually quite complicated way of control. To overcome this difficulty a novel modeling paradigm has been introduced: it is commonly referred to as inverse procedural modeling, and its goal is to generate compact procedural descriptions of existing models---in the best case in an automatic manner as possible. These compact procedural representations can be used as a source for the synthesis of identical or similar objects, applied in various simulations and other studies of urban environments. We believe that this technology is still a widely unexplored ground and that it will prove itself as a very important tool in the reconstruction process. In this paper we sketch how inverse procedural modeling can be applied in the urban modeling field.","PeriodicalId":161750,"journal":{"name":"Eurographics Workshop on Urban Data Modelling and Visualisation","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126631460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-05DOI: 10.2312/UDMV/UDMV13/001-004
Tom Vierjahn, J. Roters, M. Moser, K. Hinrichs, Sina Mostafawy
In this paper we present and evaluate a new online reconstruction algorithm to create a textured triangle mesh from a set of aerial images via an unorganized point cloud. Both the point cloud and the mesh are iteratively refined while allowing new aerial images to be added at any time during reconstruction. Texture coordinates are learnt to instantly visualize an initially rough approximation that gets refined as more data becomes available. The new algorithm improves upon other systems that require the complete data to be acquired beforehand, and that apply offline, non-iterative reconstruction and processing. Thus, our algorithm is perfectly suited for time-critical applications, e. g., strategical visualization platforms for disaster and emergency response.
{"title":"Online Reconstruction of Textured Triangle Meshes from Aerial Images","authors":"Tom Vierjahn, J. Roters, M. Moser, K. Hinrichs, Sina Mostafawy","doi":"10.2312/UDMV/UDMV13/001-004","DOIUrl":"https://doi.org/10.2312/UDMV/UDMV13/001-004","url":null,"abstract":"In this paper we present and evaluate a new online reconstruction algorithm to create a textured triangle mesh from a set of aerial images via an unorganized point cloud. Both the point cloud and the mesh are iteratively refined while allowing new aerial images to be added at any time during reconstruction. Texture coordinates are learnt to instantly visualize an initially rough approximation that gets refined as more data becomes available. The new algorithm improves upon other systems that require the complete data to be acquired beforehand, and that apply offline, non-iterative reconstruction and processing. Thus, our algorithm is perfectly suited for time-critical applications, e. g., strategical visualization platforms for disaster and emergency response.","PeriodicalId":161750,"journal":{"name":"Eurographics Workshop on Urban Data Modelling and Visualisation","volume":"17 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114096003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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