Visualization of Differences between Spatial Measurements and 3D Planning Data

Dietze, Andreas; Grimm, Paul; Jung, Yvonne

doi:10.1145/3424616.3424705

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…The acquisition, analysis and processing of 3d data based on depth data is still a current research area, as examples in the fields of visual computing like digital construction monitoring [DGJ20] show. This correlates with the fact that due to advances in augmented reality (AR), 3d sensing, and 3d scanning, many new mobile devices, such as the Samsung S21 Ultra or Apple's iPad, have advanced technologies for acquiring 3d data integrated into their product lineup.…”

Section: Introductionmentioning

confidence: 99%

Visualization of deviations between different geometries using a multi-level voxel-based representation

Dietze¹,

Grimm²,

Jung³

2023

Computer Science Research Notes

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We present an approach for visualizing deviations between a 3d printed object and its digital twin. The corresponding 3d visualization for instance allows to highlight particularly critical sections that indicate high deviations along with corresponding annotations. Therefore, the 3d printing thus needs to be reconstructed in 3d, again. However, since the original 3d model that served as blueprint for the 3d printer typically differs topology-wise from the 3d reconstructed model, the corresponding geometries cannot simply be compared on a per-vertex basis. Thus, to be able to easily compare two topologically different geometries, we use a multi-level voxel-based representation for both data sets. Besides using different appearance properties to show deviations, a quantitative comparison of the voxel-sets based on statistical methods is added as input for the visualization. These methods are also compared to determine the best solution in terms of the shape differences and how the results differ, when comparing either voxelized volumes or hulls. The application VoxMesh integrates these concepts into an application and provides the possibility to save the results in form of voxel-sets, meshes and point clouds persistently, that can either be used by third party software or VoxMesh to efficiently reproduce and visualize the results of the shape analysis.

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Section: Introductionmentioning

confidence: 99%

Visualization of deviations between different geometries using a multi-level voxel-based representation

Dietze¹,

Grimm²,

Jung³

2023

Computer Science Research Notes

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Updating 3D Planning Data based on Detected Differences between Real and Planning Data of Building Interiors[

Dietze¹,

Grimm²,

Jung³

2021

CSRN

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This paper presents a system to determine differences between 3D reconstructed interiors and their corresponding 3D planning data with the aim of correcting identified differences and updating the 3D planning data based on these deviations. Therefore, a point-based comparison algorithm was developed with which deviations can be recognized regardless of the topology of the data used. Usually, resolution and topology of a 3D reconstruction do not match the CAD data. Here, our solution overcomes this problem by segmenting and extracting objects relevant for comparison (e.g., doors, windows) from the reconstruction and planning data separately with a subsequent analysis of the proximity of these objects to connected walls within the corresponding data set. Starting from the connection points of a segmented object to its walls, adjacent spatial data is located for a correction of detected differences to update the 3D planning data. The quality of the result of the developed process is shown in different examples localizing doors and windows to find deviations. In addition, detected differences between the planning and the measurement data are visualized and compared with the ground truth state of the building interior.

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Visualization of Differences between Spatial Measurements and 3D Planning Data

Cited by 2 publications

References 12 publications

Visualization of deviations between different geometries using a multi-level voxel-based representation

Visualization of deviations between different geometries using a multi-level voxel-based representation

Updating 3D Planning Data based on Detected Differences between Real and Planning Data of Building Interiors[

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