TY - GEN A1 - Sakurai, Daisuke A1 - Ono, Kenji A1 - Carr, Hamish A1 - Nonaka, Jorji A1 - Kawanabe, Tomohiro ED - Carr, Hamish ED - Fujishiro, Issei ED - Sadlo, Filip ED - Takahashi, Shigeo T1 - Flexible Fiber Surfaces: A Reeb-Free Approach T2 - Topological Methods in Data Analysis and Visualization V N2 - The fiber surface generalizes the popular isosurface to multi-fields, so that pre-images can be visualized as surfaces. As with the isosurface, however, the fiber surface suffers from visual occlusion. We propose to avoid such occlusion by restricting the components to only the relevant ones with a new component-wise flexing algorithm. The approach, flexible fiber surface, generalizes the manipulation idea found in the flexible isosurface for the fiber surface. The flexible isosurface in the original form, however, relies on the contour tree. For the fiber surface, this corresponds to the Reeb space, which is challenging for both the computation and user interaction. We thus take a Reeb-free approach, in which one does not compute the Reeb space. Under this constraint, we generalize a few selected interactions in the flexible isosurface and discuss the implication of the restriction. Y1 - 2019 PB - Springer ER - TY - GEN A1 - Sakurai, Daisuke A1 - Ono, Kenji A1 - Carr, Hamish A1 - Nonaka, Jorji A1 - Kawanabe, Tomohiro T1 - Flexible Fiber Surfaces: A Reeb-Free Approach N2 - The fiber surface generalizes the popular isosurface to multi-fields, so that pre-images can be visualized as surfaces. As with the isosurface, however, the fiber surface suffers from visual occlusion. We propose to avoid such occlusion by restricting the components to only the relevant ones with a new component-wise flexing algorithm. The approach, flexible fiber surface, generalizes the manipulation idea found in the flexible isosurface for the fiber surface. The flexible isosurface in the original form, however, relies on the contour tree. For the fiber surface, this corresponds to the Reeb space, which is challenging for both the computation and user interaction. We thus take a Reeb-free approach, in which one does not compute the Reeb space. Under this constraint, we generalize a few selected interactions in the flexible isosurface and discuss the implication of the restriction. T3 - ZIB-Report - 19-09 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-72599 SN - 1438-0064 ER - TY - CHAP A1 - Sakurai, Daisuke A1 - Hege, Hans-Christian A1 - Kuhn, Alexander A1 - Rust, Henning A1 - Kern, Bastian A1 - Breitkopf, Tom-Lukas T1 - An Application-Oriented Framework for Feature Tracking in Atmospheric Sciences T2 - Proceedings of 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV) N2 - In atmospheric sciences, sizes of data sets grow continuously due to increasing resolutions. A central task is the comparison of spatiotemporal fields, to assess different simulations and to compare simulations with observations. A significant information reduction is possible by focusing on geometric-topological features of the fields or on derived meteorological objects. Due to the huge size of the data sets, spatial features have to be extracted in time slices and traced over time. Fields with chaotic component, i.e. without 1:1 spatiotemporal correspondences, can be compared by looking upon statistics of feature properties. Feature extraction, however, requires a clear mathematical definition of the features - which many meteorological objects still lack. Traditionally, object extractions are often heuristic, defined only by implemented algorithms, and thus are not comparable. This work surveys our framework designed for efficient development of feature tracking methods and for testing new feature definitions. The framework supports well-established visualization practices and is being used by atmospheric researchers to diagnose and compare data. Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-66685 SP - 96 EP - 97 ER - TY - GEN A1 - Sakurai, Daisuke A1 - Hege, Hans-Christian A1 - Kuhn, Alexander A1 - Rust, Henning A1 - Kern, Bastian A1 - Breitkopf, Tom-Lukas T1 - An Application-Oriented Framework for Feature Tracking in Atmospheric Sciences N2 - In atmospheric sciences, sizes of data sets grow continuously due to increasing resolutions. A central task is the comparison of spatiotemporal fields, to assess different simulations and to compare simulations with observations. A significant information reduction is possible by focusing on geometric-topological features of the fields or on derived meteorological objects. Due to the huge size of the data sets, spatial features have to be extracted in time slices and traced over time. Fields with chaotic component, i.e. without 1:1 spatiotemporal correspondences, can be compared by looking upon statistics of feature properties. Feature extraction, however, requires a clear mathematical definition of the features – which many meteorological objects still lack. Traditionally, object extractions are often heuristic, defined only by implemented algorithms, and thus are not comparable. This work surveys our framework designed for efficient development of feature tracking methods and for testing new feature definitions. The framework supports well-established visualization practices and is being used by atmospheric researchers to diagnose and compare data. T3 - ZIB-Report - 17-50 Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-72617 SN - 1438-0064 ER -