PushPull++

Lipp, Markus; Wonka, Peter; Müller, Pascal

doi:10.1145/2601097.2601197

Cited by 15 publications

(16 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been adopted by many commercial products, such as AutoCAD [25], SketchUp [7], and Maya [26]. In particular, PushPull++ [6] used in CityEngine [27], and ArcGIS Pro [28] employs methods for adaptive face insertion, adjacent face updates, edge collapse handling, and an intuitive user interface that automatically proposes useful drag directions. PushPull++ has been verified to be able to reduce the complexity of common modeling tasks by up to an order of magnitude comparing to existing tools, and is therefore well suited for editing building models and is integrated as part of the Virtual Singapore Editor (VSE).…”

Section: Editing Techniquesmentioning

confidence: 99%

“…However, the maintenance of semantic and hierarchical information through the editing process is only supported by specific applications that are closely tied to the underlying data model. We identified five main classes of popular geometry editing techniques: transformation, deletion, deformation, push-pull [6,7], and parametric (procedural) templates [8][9][10]. Most editing tools preserve only geometric information, UV mappings, and materials.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Maintaining Semantic Information across Generic 3D Model Editing Operations

et al. 2020

View full text Add to dashboard Cite

Many of today’s data models for 3D applications, such as City Geography Markup Language (CityGML) or Industry Foundation Classes (IFC) encode rich semantic information in addition to the traditional geometry and materials representation. However, 3D editing techniques fall short of maintaining the semantic information across edit operations if they are not tailored to a specific data model. While semantic information is often lost during edit operations, geometry, UV mappings, and materials are usually maintained. This article presents a data model synchronization method that preserves semantic information across editing operation relying only on geometry, UV mappings, and materials. This enables easy integration of existing and future 3D editing techniques with rich data models. The method links the original data model to the edited geometry using point set registration, recovering the existing information based on spatial and UV search methods, and automatically labels the newly created geometry. An implementation of a Level of Detail 3 (LoD3) building editor for the Virtual Singapore project, based on interactive push-pull and procedural generation of façades, verified the method with 30 common editing tasks. The implementation synchronized changes in the 3D geometry with a CityGML data model and was applied to more than 100 test buildings.

show abstract

Section: Editing Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maintaining Semantic Information across Generic 3D Model Editing Operations

et al. 2020

View full text Add to dashboard Cite

show abstract

“…For the third situation of losing old connections on inner-group faces only, the checking is made by surface-surface tangencies or face-workspace collisions (Lines [15][16][17][18][19][20][21]. To be precise, this situation indicates that the push-pulled surface no longer intersects its neighboring surfaces.…”

Section: Inconsistency Types Inserting New Connectionsmentioning

confidence: 99%

Push-pull direct modeling of solid CAD models

Zou

Feng

2019

Advances in Engineering Software

View full text Add to dashboard Cite

Direct modeling is a very recent CAD modeling paradigm featuring direct, intuitive push-pull interactions with the geometry of the model to much increase model editing flexibility. The major issue for push-pull direct modeling is the possible inconsistency between the altered geometry of the model and its unchanged topology. The challenge of resolving the geometry-topology inconsistency lies in ensuring that the resulting model remains as a valid solid model and that the model shape follows a continuous change pattern. Although push-pull direct modeling has been implemented in several CAD software packages, robustness towards generating valid modeling results and continuous shape changes still remains an open issue. This paper proposes a systematic method to handle the resolution of any possible inconsistent situation. The method formulates the continuous shape change requirement as successive Boolean operations on the model volume, thereby guaranteeing valid solid models and continuous shape changes. Further, this formulation allows an easy implementation of push-pull direct modeling using existing CAD research and engineering results. In order to show the effectiveness of the proposed method, a software prototype is developed and the modeling results are compared with those of five leading CAD software packages.

show abstract

“…In addition to template-based façade modelling, state of the art interactive 3D editing based on push/pull (Lipp et al, 2014) add classic polygon editing capabilities and geometric primitives which let the operator handle irregular cases that cannot efficiently represented with rule-based approaches. Interactive changes are automatically classified and matched to the CityGML data model of the editor through model synchronization.…”

Section: Wp3: Interactive Post-editing and Procedural Modelling Of Thmentioning

confidence: 99%

Semantically Enriched High Resolution Lod 3 Building Model Generation

Gruen

Schubiger

Qin

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

<p><strong>Abstract.</strong> This paper reports about an effort to generate LoD3 models of buildings semi-automatically, with the highest possible level of automation. It is work in progress. We use multi-sensor data like aerial images from a 5-head camera with a GSD of 10&thinsp;cm, UAV images, and aerial and mobile LiDAR point clouds. We distinguish two cases: LoD2 models are available and they are not. We apply Multi-Photo Geometrically Constrained Least Squares Matching for different kind of point measurements. The regularity of many building fa&ccedil;ades in Singapore leads us to the idea to generalize the measurement procedure towards using measurement macros (geometrical primitives, i.e. windows, doors, etc.) and combine reality-based with procedural modelling. In parallel we try to model these fa&ccedil;ade elements from LiDAR point cloud data. In another research line we do building detection by a novel approach to land-cover classification, incorporating features of the fa&ccedil;ades to improve the classification accuracy. To generate the semantic labels of the fa&ccedil;ades, we developed a spatially unrelated mean-shift clustering method to yield structurally confined segments. It is the characteristic of automated and even semi-automated procedures that the results need some amount of editing. We therefore work on interactive post-editing approaches on CityGML building models containing semantic information of each surface. Maintaining the semantic information throughout the editing process is essential but often lack the support from current tools. Accordingly, we implement a method to synchronize CityGML models. Overall this project consists of a great number of different algorithmic components, which can only be coarsely explained in this paper.</p>

show abstract

PushPull++

Cited by 15 publications

References 23 publications

Maintaining Semantic Information across Generic 3D Model Editing Operations

Maintaining Semantic Information across Generic 3D Model Editing Operations

Push-pull direct modeling of solid CAD models

Semantically Enriched High Resolution Lod 3 Building Model Generation

Contact Info

Product

Resources

About