Development of an Automated Method for Removing Objects from 4D Scan Datasets - 25.21
Title:
Development of an Automated Method for Removing Objects from 4D Scan Datasets
Authors:
Lilly ROEMER, Ann-Malin SCHMIDT, Yordan KYOSEV
Chair of Development and Assembly of Textile Products, ITM, TU Dresden, Germany
Keywords:
4D-Body-Scanning, Point Cloud Processing, Data Cleaning, Object Removal, Clustering
Abstract:
The analysis of human movements based on 4D scan data is playing an increasingly important role in various fields of application, such as digital clothing development, ergonomics and motion research. 4D body scanners provide time-resolved point cloud sequences that can be used to capture movement sequences and body deformations in detail. In realistic recording situations, however, test subjects often use aids such as stools, steps or boxes to perform certain movements. These objects are included in the raw data and cause considerable problems in the subsequent generation of homologous meshes. Especially in close contact or movement, humans and objects can merge in the point cloud, leading to faulty mesh surfaces and significantly impairing the accuracy of simulations and visual representations. The aim of this work was to develop three automated methods for removing such static and dynamic auxiliary objects from 4D scan data sets. The methods developed are based on clustering algorithms (DBSCAN), color weighting and registration methods (ICP). Depending on the application scenario, they enable the reliable separation of the human body from surrounding objects. The methods were evaluated using three practical motion scenarios: running on a treadmill (static object without body contact), stepping onto a step (static object with contact) and lifting a box (dynamic object with contact). The results show that each method has specific strengths in terms of object type and scene complexity. Overall, the use of these methods significantly improved the network quality in all cases. The tools developed represent an important step towards the automation of 4D scan processing and open up new possibilities for realistic simulations of human movements in practical scenarios.
Full paper:
Note:
This paper is currently under review for publication in the 3DBDOY.TECH Journal - Vol. 2, 2025 (jrnl.3dbody.tech).
It will be updated also in this page once the review process is concluded.
Presentation:
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How to Cite (MLA):
L. Roemer et al., "Development of an Automated Method for Removing Objects from 4D Scan Datasets", Proceedings of 3DBODY.TECH 2025 - 16th International Conference and Expo on 3D/4D Body Scanning, Data and Processing Technologies, Lugano, Switzerland, 21-22 Oct. 2025, #21, https://doi.org/10.15221/25.21
Details:
Proceedings: 3DBODY.TECH 2025, 21-22 Oct. 2025, Lugano, Switzerland
Paper/Presentation: #21
DOI: https://doi.org/10.15221/25.21
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