Literature DB >> 15747635

Accelerated unsteady flow line integral convolution.

Zhanping Liu1, Robert J Moorhead.   

Abstract

Unsteady flow line integral convolution (UFLIC) is a texture synthesis technique for visualizing unsteady flows with high temporal-spatial coherence. Unfortunately, UFLIC requires considerable time to generate each frame due to the huge amount of pathline integration that is computed for particle value scattering. This paper presents Accelerated UFLIC (AUFLIC) for near interactive (1 frame/second) visualization with 160,000 particles per frame. AUFLIC reuses pathlines in the value scattering process to reduce computationally expensive pathline integration. A flow-driven seeding strategy is employed to distribute seeds such that only a few of them need pathline integration while most seeds are placed along the pathlines advected at earlier times by other seeds upstream and, therefore, the known pathlines can be reused for fast value scattering. To maintain a dense scattering coverage to convey high temporal-spatial coherence while keeping the expense of pathline integration low, a dynamic seeding controller is designed to decide whether to advect, copy, or reuse a pathline. At a negligible memory cost, AUFLIC is 9 times faster than UFLIC with comparable image quality.

Mesh:

Year:  2005        PMID: 15747635     DOI: 10.1109/TVCG.2005.21

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


  1 in total

1.  Energy Level-Based Abnormal Crowd Behavior Detection.

Authors:  Xuguang Zhang; Qian Zhang; Shuo Hu; Chunsheng Guo; Hui Yu
Journal:  Sensors (Basel)       Date:  2018-02-01       Impact factor: 3.576

  1 in total

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