Multivariate Visualization with Data Fusion

Wong, Pak Chung; Foote, H.P.; Kao, David L.; Leung, Ruby; Thomas, Jim

doi:10.1057/palgrave.ivs.9500024

Cited by 16 publications

(13 citation statements)

References 15 publications

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“…Post et al [52] and Laramee et al [38] compared their uses with other visual representations of flows. Wong et al [69] presented a glyph layering strategy for visualizing multivariate climate data. Kirby et al [36] adapted concepts from oil painting to visualise multivariate flow data.…”

Section: Glyph-based Visualizationmentioning

confidence: 99%

Glyph-Based Video Visualization for Semen Analysis

Duffy

Thiyagalingam

Walton

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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The existing efforts in computer assisted semen analysis have been focused on high speed imaging and automated image analysis of sperm motility. This results in a large amount of data, and it is extremely challenging for both clinical scientists and researchers to interpret, compare and correlate the multidimensional and time-varying measurements captured from video data. In this work, we use glyphs to encode a collection of numerical measurements taken at a regular interval and to summarize spatio-temporal motion characteristics using static visual representations. The design of the glyphs addresses the needs for (a) encoding some 20 variables using separable visual channels, (b) supporting scientific observation of the interrelationships between different measurements and comparison between different sperm cells and their flagella, and (c) facilitating the learning of the encoding scheme by making use of appropriate visual abstractions and metaphors. As a case study, we focus this work on video visualization for computer-aided semen analysis, which has a broad impact on both biological sciences and medical healthcare. We demonstrate that glyph-based visualization can serve as a means of external memorization of video data as well as an overview of a large set of spatiotemporal measurements. It enables domain scientists to make scientific observation in a cost-effective manner by reducing the burden of viewing videos repeatedly, while providing them with a new visual representation for conveying semen statistics.

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Section: Glyph-based Visualizationmentioning

confidence: 99%

Glyph-Based Video Visualization for Semen Analysis

Duffy

Thiyagalingam

Walton

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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“…Visual representation methods of multivariate data have also been proposed for understanding multiple physical quantities and applied to a couple of science and technology fields. Wong et al [19] proposed a layering method that represents a multiple scalar field and vector field by means of overlapping layers with transparency. Urness et al [20] presented flow field visualization methods, color weaving and texture stitching, for multi-valued data based on Line Integral Convolution (LIC) [21].…”

Section: Visual Feature Extraction From Multivariate Datamentioning

confidence: 99%

Multiple Scatter Plots-based Multi-Dimensional Transfer Function and its Application to Ocean Data Visualization

Matsuoka

Araki

Yamashita

2015

JASSE

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Abstract. To understand simulation data from the perspective of multivariables is important in numerical simulation study. This study proposes a new multi-dimensional transfer function that enables users to extract and visualize characteristic features with their empirical and intuitive judgment. In the proposed method, data points that represent characteristic features are selected in a couple of 2-dimensional scatter plots. Extracted data in each 2-variable space of multivariate datasets are assigned to different color components such as hue, saturation and/or brightness, respectively, in order to classify and specify the characteristic features. We applied the method to high-resolution ocean simulation data with the advice of oceanographers. As a result of case studies, ocean currents and eddies are intuitively extracted and clearly represented with their physical properties such as current speed, temperature and salinity.

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“…Vergne et al [23] suggest a modified lighting model to enhance surface details, which uses a diffusion scheme to obtain a consistent global effect. Wong et al [24] present texturing and coloring approaches to display layered information. Taylor [25] proposes a technique to optimize color and texture to visualize multiple fields on the same surface.…”

Section: Related Workmentioning

confidence: 99%

Smart Transparency for Illustrative Visualization of Complex Flow Surfaces

Carnecky

Fuchs

Mehl

et al. 2013

IEEE Trans. Visual. Comput. Graphics

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Abstract-The perception of transparency and the underlying neural mechanisms have been subject to extensive research in the cognitive sciences. However, we have yet to develop visualization techniques which optimally convey the inner structure of complex transparent shapes. In this paper we apply the findings of perception research to develop a novel illustrative rendering method that optimizes surface transparency globally. Rendering of transparent geometry is computationally expensive since many optimizations, such as visibility culling, are not applicable and fragments have to be sorted by depth for correct blending. In order to overcome these difficulties efficiently we propose the illustration buffer. This novel data structure combines the ideas of the A-and G-buffers to store a list of all surface layers for each pixel. A set of local and non-local operators is then used to process these depth-lists to generate the final image. Our technique is interactive on current graphics hardware and is only limited by the available graphics memory. Based on this framework we present an efficient algorithm for non-local transparency optimization which creates expressive renderings of transparent surfaces. A controlled quantitative double blind user study shows that the presented approach improves the understanding of complex transparent surfaces significantly.

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Multivariate Visualization with Data Fusion

Cited by 16 publications

References 15 publications

Glyph-Based Video Visualization for Semen Analysis

Glyph-Based Video Visualization for Semen Analysis

Multiple Scatter Plots-based Multi-Dimensional Transfer Function and its Application to Ocean Data Visualization

Smart Transparency for Illustrative Visualization of Complex Flow Surfaces

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