Abstract:ABSTRACT:The article describes a pipeline, based on image-data, for the 3D reconstruction of building façades or architectural elements and the successive modeling using geometric primitives. The approach overcome some existing problems in modeling architectural elements and deliver efficient-in-size reality-based textured 3D models useful for metric applications. For the 3D reconstruction, an opensource pipeline developed within the TAPENADE project is employed. In the successive modeling steps, the user manu… Show more
“…They highlight the need for adaptive levels of detail that align with the context and requirements of each project, emphasizing the importance of precision in models to closely reflect reality. Similarly, Remondino et al (2012) focus on the importance of lightweight models for effective manipulation and visualization, addressing the need for practical, user-friendly solutions in the preservation and study of heritage buildings. Finally, Rocha et al (2020) draw attention to the difficulty of the scan-to-BIM process, which requires a comprehensive set of skills throughout the workflow.…”
Section: Gaps and Opportunities In Current Methodsmentioning
confidence: 99%
“…This approach captures more than geometry; it highlights the historical and architectural essence of each element. De Luca et al (2007) and Remondino et al (2012) have emphasized the creation of libraries of elements and primitive-based 3D modeling, focusing on the semantic understanding of architectural elements, underscoring the need for a comprehensive approach that blends the geometric fidelity with rich historical insights. The challenges in applying BIM to existing buildings, particularly historic structures, are manifold, including high modeling costs, data uncertainty, and the necessity for detailed levels of data capture.…”
Section: Literature Review On Hbim and Parametric Modelingmentioning
Abstract. In the domain of architectural heritage conservation, the recent advancements in 3D modeling have significantly improved the reconstruction fidelity of historical edifices, particularly medieval castles of the Rhine region. The existing traditional 3D modeling methodologies, though precise, are laborious and exceedingly time-consuming, requiring a detailed focus on intricate architectural nuances. Advancements in Building Information Modeling (BIM) technology have played a key role in simplifying this process, offering an adaptable and parametric approach to architectural modeling. Nonetheless, the domain of Historic Building Information Modeling (HBIM) faces the distinctive challenge of scarce parametric object libraries that are suitably representative of historical heritage, compounded by the architectural heterogeneity inherent in these ancient structures.This paper presents a novel methodology utilizing the Blender software suite, with an emphasis on exploiting ”Geometry Nodes” and ”Modifiers” for parametric modeling. We introduce a technique that significantly enhances the efficiency of modeling Rhine castles. This method supports rapid alterations and precise customization, catering to the specific analytical needs of archaeologists and heritage researchers. The proposed approach aims to bridge the gap in HBIM by providing a flexible, dynamic toolset for the accurate digital preservation of historical architecture.
“…They highlight the need for adaptive levels of detail that align with the context and requirements of each project, emphasizing the importance of precision in models to closely reflect reality. Similarly, Remondino et al (2012) focus on the importance of lightweight models for effective manipulation and visualization, addressing the need for practical, user-friendly solutions in the preservation and study of heritage buildings. Finally, Rocha et al (2020) draw attention to the difficulty of the scan-to-BIM process, which requires a comprehensive set of skills throughout the workflow.…”
Section: Gaps and Opportunities In Current Methodsmentioning
confidence: 99%
“…This approach captures more than geometry; it highlights the historical and architectural essence of each element. De Luca et al (2007) and Remondino et al (2012) have emphasized the creation of libraries of elements and primitive-based 3D modeling, focusing on the semantic understanding of architectural elements, underscoring the need for a comprehensive approach that blends the geometric fidelity with rich historical insights. The challenges in applying BIM to existing buildings, particularly historic structures, are manifold, including high modeling costs, data uncertainty, and the necessity for detailed levels of data capture.…”
Section: Literature Review On Hbim and Parametric Modelingmentioning
Abstract. In the domain of architectural heritage conservation, the recent advancements in 3D modeling have significantly improved the reconstruction fidelity of historical edifices, particularly medieval castles of the Rhine region. The existing traditional 3D modeling methodologies, though precise, are laborious and exceedingly time-consuming, requiring a detailed focus on intricate architectural nuances. Advancements in Building Information Modeling (BIM) technology have played a key role in simplifying this process, offering an adaptable and parametric approach to architectural modeling. Nonetheless, the domain of Historic Building Information Modeling (HBIM) faces the distinctive challenge of scarce parametric object libraries that are suitably representative of historical heritage, compounded by the architectural heterogeneity inherent in these ancient structures.This paper presents a novel methodology utilizing the Blender software suite, with an emphasis on exploiting ”Geometry Nodes” and ”Modifiers” for parametric modeling. We introduce a technique that significantly enhances the efficiency of modeling Rhine castles. This method supports rapid alterations and precise customization, catering to the specific analytical needs of archaeologists and heritage researchers. The proposed approach aims to bridge the gap in HBIM by providing a flexible, dynamic toolset for the accurate digital preservation of historical architecture.
“…Moreover, another two lines of research have also been carried out that are worth mentioning: those that combine geometry-based and image-based methods for detailed building reconstruction, published by authors such as Debevec et al (1996), El-Hakim et al (2002), or Remondino et al (2012) on one hand. And on the other, we have those that implement automatic procedures by computer vision techniques, both for image segmentation (detecting characteristics such as faces, edges and corners), as for automatic recognition of semantic classes of objects by means of 2D/3D matching.…”
Section: Hybrid 2d/3d Models For Photo-based Animations Of Virtual Ur...mentioning
This paper proposes an innovative procedure that takes advantage of the synergies obtained by combining disciplines such as parametric photogrammetry, computer graphics, immersive camera geometry and motion graphics, to achieve advanced visually dynamic scenes from historical isolated images of urban environments. The approach is divided into three stages: generation of a hybrid 2D/3D model, creation of a virtual scenario, and animation by the synchronized movement of an immersive camera. The first stage deals with the geometric aspect, and is the result of a combination of a partial photo-modeling, by means of parameterized 3D primitives, and other 2D layer-segmented elements extracted from the original image. The second stage starts with the recovery of the pinhole camera that took the original image, to create a virtual scenario with the elements of the hybrid model, while the in third, some projective relationships are used to program an animation adapted to the limits of distortion of the 2D background, synchronizing its transformation with the movement of the sub-objects of an immersive camera. A case study is included of a video sequence made as an example of application of the procedure.
“…The expected Dynamo-based HBIM modelling transfers the geometric structures to HBIM model via Revit Dynamo visual programming. The fundamental and manual work is to segment the raw point cloud into mesh solid geometry representing building components (i.e., walls, roofs, columns, slabs) (Remondino et al, 2012). Then, by visual programming in Dynamo environment, the solid geometry is transferred into Revit Family elements, and then the parametric relationships among building objects are also defined.…”
Building Information Modelling (BIM) technique has been widely utilized in heritage documentation and comes to a general term Historical/Heritage BIM (HBIM). The current HBIM project mostly employs the scan-to-BIM process to manually create the geometric model from the point cloud. This paper explains how it is possible to shape from the mesh geometry with reduced human involvement during the modelling process. Aiming at unbuilt heritage, two case studies are handled in this study, including a ruined Roman stone architectural and a severely damaged abbey. The pipeline consists of solid element modelling based on documentation data using <i>Autodesk Revit</i>, a common BIM platform, and the successive modelling from these geometric primitives using <i>Autodesk Dynamo</i>, a visual programming built-in plugin tool in <i>Revit</i>. The BIM-based reconstruction enriches the classic visual model from computer graphics approaches with measurement, semantic and additional information. <i>Dynamo</i> is used to develop a semi-automated function to reduce the manual process, which builds the final BIM model from segmented parametric elements directly. The level of detail (LoD) of the final models is dramatically relevant with the manual involvement in the element creation. The proposed outline also presents two potential issues in the ongoing work: combining the ontology semantics with the parametric BIM model, and introducing the proposed pipeline into the as-built HBIM process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.