3D Building Adjustment Using Planar Half-Space Regularities

Wichmann, Andreas; Kada, Martin

doi:10.5194/isprsannals-ii-3-189-2014

Cited by 6 publications

(10 citation statements)

References 16 publications

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“…In analogy to the adjustment methods presented in (Wichmann and Kada, 2014), we differentiate between local and global adjustments. However, instead of half-spaces we apply our adjustment rules to segments and their plane equations.…”

Section: Adjustmentsmentioning

confidence: 99%

“…She introduces a façade grammar which is automatically derived from successfully reconstructed parts of the building and applied to those parts which are occluded. An example which considers building knowledge to emphasize natural regularities in a building model is given in (Wichmann and Kada, 2014). In their fully automatic 3D building reconstruction approach they present several local and global regularization rules defined on planar half-spaces that integrate building knowledge to improve the shape and the accuracy of an automatic reconstructed building model.…”

Section: Building Knwoledge Extractionmentioning

confidence: 99%

“…Additionally, all segments of a substructure are translated within a strict predefined threshold during the global adjustment so that building features in the dRTG are merged together. In contrast to (Wichmann and Kada, 2014), during the local and global adjustment process, we also consider the semantic and the topological information of each segment. For example, we restrict the adjustment of the segments of a subgraph, which is surrounded by a segment of another subgraph, to remain in their respective segment.…”

Section: Adjustmentsmentioning

confidence: 99%

See 2 more Smart Citations

Integration of Building Knowledge Into Binary Space Partitioning for the Reconstruction of Regularized Building Models

Wichmann

Jung

Sohn

et al. 2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Recent approaches for the automatic reconstruction of 3D building models from airborne point cloud data integrate prior knowledge of roof shapes with the intention to improve the regularization of the resulting models without lessening the flexibility to generate all real-world occurring roof shapes. In this paper, we present a method to integrate building knowledge into the data-driven approach that uses binary space partitioning (BSP) for modeling the 3D building geometry. A retrospective regularization of polygons that emerge from the BSP tree is not without difficulty because it has to deal with the 2D BSP subdivision itself and the plane definitions of the resulting partition regions to ensure topological correctness. This is aggravated by the use of hyperplanes during the binary subdivision that often splits planar roof regions into several parts that are stored in different subtrees of the BSP tree. We therefore introduce the use of hyperpolylines in the generation of the BSP tree to avoid unnecessary spatial subdivisions, so that the spatial integrity of planar roof regions is better maintained. The hyperpolylines are shown to result from basic building roof knowledge that is extracted based on roof topology graphs. An adjustment of the underlying point segments ensures that the positions of the extracted hyperpolylines result in regularized 2D partitions as well as topologically correct 3D building models. The validity and limitations of the approach are demonstrated on real-world examples.

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Section: Adjustmentsmentioning

confidence: 99%

Section: Building Knwoledge Extractionmentioning

confidence: 99%

Section: Adjustmentsmentioning

confidence: 99%

See 1 more Smart Citation

Integration of Building Knowledge Into Binary Space Partitioning for the Reconstruction of Regularized Building Models

Wichmann

Jung

Sohn

et al. 2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

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“…Lafarge et al [19,20] combine geometric 3D-primitives with mesh patches to achieve semantic, compact and generative models. Martin and Andreas [21,22] used planar half-space combination to form a semantic part of building model as a mathematical inequality equation. Xiong et al use graph to represent the topology of roof planes and sub graph to represent roof primitives [23,24].…”

mentioning

confidence: 99%

“…Xiong et al use graph to represent the topology of roof planes and sub graph to represent roof primitives [23,24]. Based on these model presentations, constrains derived from prior knowledge such as symmetries, co-planarity, parallelism, and orthogonality are used for model refinement [22,23]. Xiong et al [24] apply a graph edit dictionary to correct the errors of roof topology effectively.…”

mentioning

confidence: 99%

A Model-Driven Approach for 3D Modeling of Pylon from Airborne LiDAR Data

Chen

2015

Remote Sensing

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Abstract:Reconstructing three-dimensional model of the pylon from LiDAR (Light Detection And Ranging) point clouds automatically is one of the key techniques for facilities management GIS system of high-voltage nationwide transmission smart grid. This paper presents a model-driven three-dimensional pylon modeling (MD3DM) method using airborne LiDAR data. We start with constructing a parametric model of pylon, based on its actual structure and the characteristics of point clouds data. In this model, a pylon is divided into three parts: pylon legs, pylon body and pylon head. The modeling approach mainly consists of four steps. Firstly, point clouds of individual pylon are detected and segmented from massive high-voltage transmission corridor point clouds automatically. Secondly, an individual pylon is divided into three relatively simple parts in order to reconstruct different parts with different strategies. Its position and direction are extracted by contour analysis of the pylon body in this stage. Thirdly, the geometric features of the pylon head are extracted, from which the head type is derived with a SVM (Support Vector Machine) classifier. After that, the head is constructed by seeking corresponding model OPEN ACCESSRemote Sens. 2015, 7 11502 from pre-build model library. Finally, the body is modeled by fitting the point cloud to planes. Experiment results on several point clouds data sets from China Southern high-voltage nationwide transmission grid from Yunnan Province to Guangdong Province show that the proposed approach can achieve the goal of automatic three-dimensional modeling of the pylon effectively.

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Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing

Jung

Sohn

Bang

et al. 2016

Sensors

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A city is a dynamic entity, which environment is continuously changing over time. Accordingly, its virtual city models also need to be regularly updated to support accurate model-based decisions for various applications, including urban planning, emergency response and autonomous navigation. A concept of continuous city modeling is to progressively reconstruct city models by accommodating their changes recognized in spatio-temporal domain, while preserving unchanged structures. A first critical step for continuous city modeling is to coherently register remotely sensed data taken at different epochs with existing building models. This paper presents a new model-to-image registration method using a context-based geometric hashing (CGH) method to align a single image with existing 3D building models. This model-to-image registration process consists of three steps: (1) feature extraction; (2) similarity measure; and matching, and (3) estimating exterior orientation parameters (EOPs) of a single image. For feature extraction, we propose two types of matching cues: edged corner features representing the saliency of building corner points with associated edges, and contextual relations among the edged corner features within an individual roof. A set of matched corners are found with given proximity measure through geometric hashing, and optimal matches are then finally determined by maximizing the matching cost encoding contextual similarity between matching candidates. Final matched corners are used for adjusting EOPs of the single airborne image by the least square method based on collinearity equations. The result shows that acceptable accuracy of EOPs of a single image can be achievable using the proposed registration approach as an alternative to a labor-intensive manual registration process.

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3D Building Adjustment Using Planar Half-Space Regularities

Cited by 6 publications

References 16 publications

Integration of Building Knowledge Into Binary Space Partitioning for the Reconstruction of Regularized Building Models

Integration of Building Knowledge Into Binary Space Partitioning for the Reconstruction of Regularized Building Models

A Model-Driven Approach for 3D Modeling of Pylon from Airborne LiDAR Data

Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing

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