A Discrete Probabilistic Approach to Dense Flow Visualization
نویسندگان
چکیده
منابع مشابه
Dense Geometric Flow Visualization
Flow visualization has a long tradition in scientific data visualization. Approaches for 3D vector fields however have only recently experienced a boost due to the introduction of programmable graphics hardware with large texture memory. Consequently, volumetric flow visualization has entered many disciplines of science and engineering including mechanics, physics, chemistry, meteorology, geolo...
متن کاملStructure-accentuating Dense Flow Visualization
Vector field visualization approaches can broadly be categorized into approaches that directly visualize local or integrated flow and approaches that analyze the topological structure and visualize extracted features. Our goal was to come up with a method that falls into the first category, yet reveals structural information. We have developed a dense flow visualization method that shows the ov...
متن کاملFlow Visualization Around a Non - Circular Tube
The flow behavior around a cam shaped tube in cross flow has been investigated experimentally using flow visualization and pressure distribution measurement. The range of attack angle and Reynolds number based on an equivalent circular diameter are within 0 ≤ α ≤ 360˚ and 2 x 104 < Reeq < 3.4 x 104, respectively. The pressure drag features are clarified in relation to the flow behavior around t...
متن کاملMulti-layer illustrative dense flow visualization
We present a dense visualization of vector fields on multi-layered surfaces. The method is based on the illustration buffer, which provides a screen space representation of the surface, where each pixel stores a list of all surface layers. This representation is implemented on the GPU using shaders and leads to a fast, output sensitive technique. In our approach, we first use procedural noise t...
متن کاملA new approach for data visualization problem
Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Visualization and Computer Graphics
سال: 2020
ISSN: 1077-2626,1941-0506,2160-9306
DOI: 10.1109/tvcg.2020.3006995