Literature DB >> 20975188

Result-driven exploration of simulation parameter spaces for visual effects design.

Stefan Bruckner1, Torsten Möller.   

Abstract

Graphics artists commonly employ physically-based simulation for the generation of effects such as smoke, explosions, and similar phenomena. The task of finding the correct parameters for a desired result, however, is difficult and time-consuming as current tools provide little to no guidance. In this paper, we present a new approach for the visual exploration of such parameter spaces. Given a three-dimensional scene description, we utilize sampling and spatio-temporal clustering techniques to generate a concise overview of the achievable variations and their temporal evolution. Our visualization system then allows the user to explore the simulation space in a goal-oriented manner. Animation sequences with a set of desired characteristics can be composed using a novel search-by-example approach and interactive direct volume rendering is employed to provide instant visual feedback. A user study was performed to evaluate the applicability of our system in production use.

Year:  2010        PMID: 20975188     DOI: 10.1109/TVCG.2010.190

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  5 in total

1.  Design by dragging: an interface for creative forward and inverse design with simulation ensembles.

Authors:  Dane Coffey; Chi-Lun Lin; Arthur G Erdman; Daniel F Keefe
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

2.  FeatureLego: Volume Exploration Using Exhaustive Clustering of Super-Voxels.

Authors:  Shreeraj Jadhav; Saad Nadeem; Arie Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-07-17       Impact factor: 4.579

3.  A Survey of Colormaps in Visualization.

Authors:  Liang Zhou; Charles D Hansen
Journal:  IEEE Trans Vis Comput Graph       Date:  2015-10-26       Impact factor: 4.579

4.  Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual Reality.

Authors:  Seth Johnson; Daniel Orban; Hakizumwami Birali Runesha; Lingyu Meng; Bethany Juhnke; Arthur Erdman; Francesca Samsel; Daniel F Keefe
Journal:  Front Robot AI       Date:  2019-07-23

5.  Visual parameter optimisation for biomedical image processing.

Authors:  A J Pretorius; Y Zhou; R A Ruddle
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.