Interactive Vector Field Feature Identification


Autoria(s): II, Joel Daniels; ANDERSON, Erik W.; NONATO, Luis Gustavo; SILVA, Claudio T.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2010

Resumo

We introduce a flexible technique for interactive exploration of vector field data through classification derived from user-specified feature templates. Our method is founded on the observation that, while similar features within the vector field may be spatially disparate, they share similar neighborhood characteristics. Users generate feature-based visualizations by interactively highlighting well-accepted and domain specific representative feature points. Feature exploration begins with the computation of attributes that describe the neighborhood of each sample within the input vector field. Compilation of these attributes forms a representation of the vector field samples in the attribute space. We project the attribute points onto the canonical 2D plane to enable interactive exploration of the vector field using a painting interface. The projection encodes the similarities between vector field points within the distances computed between their associated attribute points. The proposed method is performed at interactive rates for enhanced user experience and is completely flexible as showcased by the simultaneous identification of diverse feature types.

Fapesp-Brazil[2008/03349-6]

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

CNPq-NSF[491034/2008-3]

U.S. National Science Foundation (NSF)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

NSF[IIS-0905385]

U.S. National Science Foundation (NSF)

U.S. National Science Foundation (NSF)

NSF[IIS-0844546]

NSF[CNS-0855167]

U.S. National Science Foundation (NSF)

NSF[IIS-0746500]

U.S. National Science Foundation (NSF)

NSF[ATM-0835821]

U.S. National Science Foundation (NSF)

U.S. National Science Foundation (NSF)

NSF[CNS-0751152]

U.S. National Science Foundation (NSF)

NSF[IIS-0713637]

U.S. National Science Foundation (NSF)

NSF[OCE-0424602]

U.S. National Science Foundation (NSF)

NSF[IIS-0534628]

NSF[CNS-0514485]

U.S. National Science Foundation (NSF)

U.S. National Science Foundation (NSF)

NSF[IIS-0513692]

U.S. National Science Foundation (NSF)

NSF[CNS-0524096]

U.S. Department of Energy (DOE)

US Department of Energy (DOE), Office of Science DoE

IBM

IBM

Identificador

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.16, n.6, p.1560-1568, 2010

1077-2626

http://producao.usp.br/handle/BDPI/28905

10.1109/TVCG.2010.170

http://dx.doi.org/10.1109/TVCG.2010.170

Idioma(s)

eng

Publicador

IEEE COMPUTER SOC

Relação

Ieee Transactions on Visualization and Computer Graphics

Direitos

restrictedAccess

Copyright IEEE COMPUTER SOC

Palavras-Chave #Vector field #data clustering #feature classification #high-dimensional data #user interaction #FLOW VISUALIZATION #SEGMENTATION #VORTEX #Computer Science, Software Engineering
Tipo

article

original article

publishedVersion