Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: November 2014
- Series: VAST
- Publisher: IEEE Computer Society
- Note: http://dx.doi.org/10.1109/VAST.2014.7042491
- Location: Paris, France
- Lecturer: Johanna Schmidt
- Booktitle: IEEE Visual Analytics Science and Technology
- Conference date: 9. November 2014 – 14. November 2014
- Keywords: mesh comparison, 3D data exploration, focus+context, comparative visualization, Visual analysis
Abstract
Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. With our comparative visualization approach, differences between several mesh reconstruction algorithms can be easily localized and inspected.Additional Files and Images
Additional images and videos
Additional files
paper:
paper (authors personal copy, accepted for publication by IEEE)
video-demo:
demonstration of the application - 4:30 min - 20.2 MB
Weblinks
No further information available.BibTeX
@inproceedings{ymca, title = "YMCA - Your Mesh Comparison Application", author = "Johanna Schmidt and Reinhold Preiner and Thomas Auzinger and Michael Wimmer and Eduard Gr\"{o}ller and Stefan Bruckner", year = "2014", abstract = "Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. With our comparative visualization approach, differences between several mesh reconstruction algorithms can be easily localized and inspected.", month = nov, series = "VAST ", publisher = "IEEE Computer Society", note = "http://dx.doi.org/10.1109/VAST.2014.7042491", location = "Paris, France", booktitle = "IEEE Visual Analytics Science and Technology", keywords = "mesh comparison, 3D data exploration, focus+context, comparative visualization, Visual analysis", URL = "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/", }