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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A user-friendly interactive framework for unsteady fluid flow segmentation and visualization

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Author(s):
Motta, Danilo [1] ; Casaca, Wallace [2] ; Pagliosa, Paulo [3] ; Paiva, Afonso [1]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, ICMC, Sao Carlos, SP - Brazil
[2] Univ Estadual Paulista UNESP, Rosana - Brazil
[3] Univ Fed Mato Grosso do Sul UFMS, FACOM, Campo Grande - Brazil
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF VISUALIZATION; v. 21, n. 4, p. 625-636, AUG 2018.
Web of Science Citations: 0
Abstract

While vector fields are essential to simulate a large amount of natural phenomena, the difficulty to identify patterns and predict behaviors makes the visual segmentation in simulations an attractive and powerful tool. In this paper, we present a novel user-steered segmentation framework to cope with steady as well as unsteady vector fields on fluid flow simulations. Given a discrete vector field, our approach extracts multi-valued features from the field by exploiting its streamline structures so that these features are mapped to a visual space through a multidimensional projection technique. From an easy-to-handle interface, the user can interact with the projected data so as to partition and explore the most relevant vector features in a guidance frame of the simulation. Besides navigating and visually mining structures of interest, the interactivity with the projected data also allows the user to progressively enhance the segmentation result according to his insights. Finally, to successfully deal with unsteady simulations, the segments previously annotated by the user are used as a training set for a Support Vector Machine approach that classifies the remaining frames in the flow. We attest the effectiveness and versatility of our methodology throughout a set of classical physical-inspired applications on fluid flow simulations as depicted in the experiment results section. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 14/16857-0 - Seeded image segmentation and visual layout arrangement from minimization of energy functionals on graphs
Grantee:Wallace Correa de Oliveira Casaca
Support Opportunities: Scholarships in Brazil - Post-Doctoral