A viewer-dependent tensor field visualization using multiresolution and particle tracing

  • Authors:
  • José Luiz Ribeiro de Souza Filho;Marcelo Caniato Renhe;Marcelo Bernardes Vieira;Gildo de Almeida Leonel

  • Affiliations:
  • DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil;DCC/ICE, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil

  • Venue:
  • ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
  • Year:
  • 2012

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Abstract

This paper presents an adaptive method for visualization of tensor fields using multiresolution and viewer position and orientation. A particle tracing method is used in order to explore the benefits of motion to the human perceptual system. The particles are inserted and advected through the field based on a priority list which ranks tensors according to anisotropy measures and viewer parameters. Tensor fields representing colinear and coplanar structures are suitable for multiresolution analysis. Using multiple scales, we propose the use of anisotropic information in multiresolution, yielding an effective and simple method to compute priority values for particle creation. We also propose a new deterministic criterion for particle insertion in the field that balances their distribution in the tensor field domain. Our results show that our method enhances the visualization and reduces artifacts encountered in previous approaches.