i4Ocean: transfer function-based interactive visualization of ocean temperature and salinity volume data

Author(s):  
Fenglin Tian ◽  
Qing Mao ◽  
Yazhen Zhang ◽  
Ge Chen
2020 ◽  
Vol 26 (10) ◽  
pp. 3008-3021 ◽  
Author(s):  
Jonathan Sarton ◽  
Nicolas Courilleau ◽  
Yannick Remion ◽  
Laurent Lucas

2012 ◽  
Author(s):  
Byungil Jeong ◽  
Paul A. Navrátil ◽  
Kelly P. Gaither ◽  
Gregory Abram ◽  
Gregory P. Johnson

2014 ◽  
Vol 14 (2) ◽  
pp. 38-49 ◽  
Author(s):  
Hristo Lesev ◽  
Alexander Penev

Abstract A novel approach is presented for recording high volume data about ray tracing rendering systems' runtime state and its subsequent dynamic analysis and interactive visualization in the algorithm computational domain. Our framework extracts light paths traced by the system and leverages on a powerful filtering subsystem, helping interactive visualization and exploration of the desired subset of recorded data. We introduce a versatile data logging format and acceleration structures for easy access and filtering. We have implemented a plugin based framework and a tool set that realize all ideas presented in this paper. The framework provides data logging API for instrumenting production-ready, multithreaded, distributed renderers. The framework visualization tool enables deeper understanding of the ray tracing algorithms for novices, as well as for experts.


1999 ◽  
Vol 23 (2) ◽  
pp. 233-244 ◽  
Author(s):  
Ove Sommer ◽  
Alexander Dietz ◽  
Rüdiger Westermann ◽  
Thomas Ertl

2005 ◽  
Vol 05 (04) ◽  
pp. 699-714 ◽  
Author(s):  
JIANLONG ZHOU ◽  
ANDREAS DÖRING ◽  
KLAUS D. TÖNNIES

Volume data often have redundant information for clinical uses. The essence of volume rendering can be regarded as a mechanism to determine visibility of redundant information and structures of interest using different approaches. Controlling the visibility of these structures in volume rendering depends on the following factors in existing rendering algorithms: The data value of current voxel and its derivatives (used in transfer function based approaches), and the voxel position (used in volume clipping). This paper introduces the distance which is defined by the user into volume rendering pipeline to control the visibility of structures. The distance based approach, which is named as distance transfer function, has the flexibility of transfer functions for depicting data information and the advantages of volume clippings for visualizing inner structures. The results show that the distance based approach is a powerful tool for volume data information depiction.


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